108 Statistical Finance Jobs nearby Baramati

As a Data Scientist at Eaton, you will join the Commercial Finance Analytics team in Pune, India. Your role as an individual contributor will involve supporting the design and implementation of analytical solutions for Eaton businesses through Commercial Finance. Collaborating with cross-functional teams, you will help define, manage, and optimize data assets in a scalable and sustainable manner. Your focus will be on developing tools, dashboards, and analytics to provide actionable, data-driven insights into business operations. Key Responsibilities: - Support analytical projects: Assist in defining problems, exploring data, and developing models aligned with business goals for growth and efficiency. - Contribute to data platform development: Assist in building and maintaining systems to collect, process, and visualize data from various sources for analysis. - Apply analytical techniques: Utilize statistical methods and basic machine learning to identify trends and translate data into meaningful insights. - Collaborate with cross-functional teams: Understand business processes and design data solutions that fit operational needs. - Provide ongoing analytical support: Deliver historical and trend-based insights for informed decision-making. - Identify opportunities for analytics: Participate in identifying use cases where data science can add value and support capability development. - Data modeling and process improvement: Design data models to improve workflows, reduce risk, and support strategic initiatives. Qualifications: - Minimum bachelor's degree in mathematics, Economics, Business Analytics, Engineering, or a related quantitative field. - 3-5 years of experience in the manufacturing industry exposure preferred. Skills Required: - Microsoft Power BI and Data science experience are mandatory. - SQL language query is mandatory. - Data Engineering: Extracting, transforming, and loading data from multiple sources to a single repository is mandatory. - Strong analytical skills, with prior experience in big data analytics projects preferred. - Strong business acumen in the candidate's respective industry. - Ability to multi-task, be proactive, and independent in a dynamic environment. - Highly motivated individuals with excellent oral and written communication skills. - Strategic and critical approach towards problem-solving and decision-making. - Results-oriented with a proven ability to prioritize, drive, and achieve results.,

As a Quantitative Researcher at EISEC, you will be responsible for collecting data from global markets, analyzing patterns, and utilizing statistical analysis and data mining skills to develop profitable trading models. You will collaborate with trading teams to optimize strategies, work on electronic trading strategies, and contribute to the development of new technology platforms. Additionally, you will be involved in alpha research, portfolio optimization, and execution. **Key Responsibilities:** - Research and analyze large data sets to develop and implement signals - Collaborate with team members to optimize trading strategies and enhance research results - Utilize advanced concepts like Deep Learning to identify patterns in financial market data **Qualifications Required:** - Degree in Mathematics, Statistics, Economics, or Engineering - Proficiency in applying advanced mathematics/statistics concepts to large data sets - Strong analytical and problem-solving skills - Intellectual curiosity, self-starter attitude - Experience with Python - Interest in modern concepts of machine learning and quantitative finance theory If you are passionate about quantitative research, have a keen interest in financial markets, and possess the required qualifications, we encourage you to apply by sending your resume to careers@eisec.com.,

Birlasoft is a global technology company that specializes in enabling next-generation digital transformation through expertise in Cloud, AI, Data, and enterprise solutions. With a focus on combining industry proficiency with advanced digital capabilities, Birlasoft helps businesses accelerate change with speed, scale, and purpose, delivering future-ready solutions that enhance agility, resilience, and customer experience. Led by Chairman Mrs. Amita Birla, Birlasoft's nearly 12,000 professionals drive innovation while fostering a diverse, inclusive, and learning-oriented culture. The company places a strong emphasis on sustainability and long-term value creation, transforming enterprises and communities to become a trusted partner and one of the best places to work. **Key Responsibilities:** - Well versed in different commercial models used in the IT industry and analysis of impact on deal commercials. - Familiar with terminologies used in the IT industry and their impact on commercial pricing. - Hands-on experience in financial modeling for large and complex IT deals. - Identify commercial risks and propose risk mitigation frameworks to be embedded in pricing/contracting. - Clear understanding of RFPs, MSAs, and SOWs. Respond to the commercial section of Requests for Proposal (RFPs) for IT outsourcing deals. - Review and mark up commercial terms and conditions in proposals. - Experience in negotiating with customer finance/legal teams directly on commercial/contractual terms and conditions. - Collaborate closely with sales and delivery teams to prepare business cases and pricing models. - Create and review the commercial construct of deals. Responsible for creating deal P&Ls. - Analyze and report statistical data comprising Revenue/FTE, Cost/FTE, Zero Revenue resources, efficiency, billed headcount, etc. - Track deal financials for each opportunity. **Qualifications Required:** - Bachelors degree/MBA in Finance. - 5-8 years of experience in leading IT product and services pricing for top tier 2/tier 1 IT services companies. (Note: The additional requirements section highlights the need for 5-8 years of experience in leading IT product and services pricing for top tier 2/tier 1 IT services companies.),

As a Demand Forecasting and Planning specialist, your primary responsibility is to analyse demand and create consensus-based forecasts at the SKU level monthly. You will utilize trending/statistical techniques, collaborate with sales and marketing teams, and conduct market trend analysis to ensure forecast accuracy and prevent negative impacts on customer replenishment or inventory. Your role in Financial Planning & Analysis (FP&A) involves managing the financial aspects of demand planning. This includes assessing the financial impact of demand fluctuations on the company's performance, creating financial models and scenarios, and integrating demand data into financial projections, budgets, and variance analysis with the finance team. In the area of Inventory Planning, you will collaborate with Enterprise Planning and Operations (EPO) teams to optimize inventory levels based on demand forecasts while adhering to inventory holding norms. Regularly reviewing and balancing inventory, identifying excess inventory, and working with finance and sales to address obsolescence concerns are essential tasks. As part of Divisional PL Controlling, your focus will be on overseeing Profit and Loss (PL) statements from an FP&A perspective. This includes monitoring Plan, Rolling Latest Best Estimates (RLBEs), and Actuals, collaborating with functional teams to set SG&A spending targets, and aligning them with financial data and landing expectations. You will also be responsible for Financial Reporting and Insights, where you will develop KPIs and metrics to measure demand forecasting accuracy, financial performance, and operational efficiency. Providing regular reports and dashboards to communicate key performance indicators and actionable insights to management will be a key part of your role. Additionally, you may support and/or lead the implementation of systems, act as a Subject Matter Expert (SME) to ensure timely completion of pre-work, UAT, and related matters. Any other assignments as determined by Commercial and/or Finance management will also be part of your responsibilities.,

As the Analytics Lead Commercial at L'Oreal, you will play a vital role in defining and aligning the analytics vision, managing data initiatives, leading data talents, driving analytics maturity, and ensuring that the business is powered by data solutions. Your responsibilities will include facilitating analytics use-cases generation, leading selection and prioritization, overseeing validation processes, and serving as an advisor to the leadership team. Key Responsibilities: - Develop D&A product vision, strategy, and roadmap for commercial analytics products in alignment with overall commercial/business objectives. - Collaborate with leadership, sales operations, marketing, and finance teams to gather and prioritize business requirements for analytical tools and reports. - Lead User Acceptance Testing (UAT) efforts to ensure that developed solutions meet business requirements and user expectations. - Strong exposure to pricing and promotion analysis, develop and maintain promotion analytics AI/ML solutions, and utilize predictive analytics to optimize promotional spend and maximize ROI. - Analyze online promotion performance, conduct in-depth analysis of online promotion data to understand the effectiveness of different promotional strategies, channels, and targeting methods. - Develop and maintain sales forecasts using statistical modeling techniques, utilize predictive analytics to anticipate future market trends, and optimize inventory management. - Ensure data governance and quality control, implement data governance processes and best practices to maintain data quality. - Collaborate with cross-functional teams to develop and implement D&A solutions. - Build and maintain strong relationships with key stakeholders across the organization, effectively communicate the value of data and analytics, and ensure alignment on strategic priorities. - Proactively identify and address resistance to change, develop strategies to overcome objections, and foster a data-driven culture within the organization. Profile & Experience: - Masters in management - Data Sciences, Business Analytics, Statistics, Economics, or a related field. - 9-12 years of experience in D&A, commercial, and analytics. - Strong analytical and problem-solving skills. - Proficiency in statistical modeling, data mining techniques, and Python programming. - Experience with data visualization tools (e.g., Power BI). - Advanced Excel skills, including pivot tables, macros, and VBA. - Excellent communication and presentation skills. - Ability to work independently and as part of a team. - Experience in the beauty or consumer goods industry is a plus. Characteristics: - Trusted and respected as a thought leader who can influence and persuade business and IT leaders. - Highly collaborative and supportive of business and its ideals and strategies. - Highly innovative with an aptitude for foresight, systems thinking, and design thinking. Physical Demands: - Travel will be need-based.,

As a Balance Sheet Management Analyst at our company, you will play a vital role in developing new methodologies, data processing tools, and analysis techniques for the Balance Sheet Management function. Your contributions will directly impact Citigroup's Capital and will be crucial for the treasury team's modeling group. This role requires you to focus on statistical and non-statistical methodologies for Deposit duration, Fund Transfer Pricing, Customer Pricing, and other areas relevant to the IRRBB and treasury space. Key Responsibilities: - Provide end-to-end development support for statistical models covering asset classes like Deposits and Fixed Income Securities. - Develop models for specific functions such as Asset Allocation strategy. - Demonstrate strong analytical and statistical skills. - Document and present work effectively. - Manage stakeholders to understand requirements and develop suitable models. - Filter, prioritize, and validate complex material from multiple sources for non-statistical modeling projects. In addition to the above responsibilities, you will be involved in the end-to-end development and governance of models in the treasury/IRRBB space. This includes econometric forecasting models for key Balance sheet and income statement line items. Your role will require analytical thinking, statistical knowledge, and attention to detail when making judgments and recommendations based on data analysis. Model governance and timely submission of documentations to stakeholders are essential aspects of this position. Qualifications and Requirements: - 2-4 years of relevant statistical modeling/econometrics experience in the financial domain. - PG/Masters/PhD in quantitative disciplines like Statistics, Economics, Mathematics, or related fields preferred. - Experience in Time Series modeling and ALM/IRRBB related model development. - Proficiency in statistical techniques such as Linear Regression, Logistic Regression, Time Series, etc. - Hands-on experience with Python programming and knowledge of Artificial Intelligence/Machine Learning techniques. - Familiarity with SQL, databases, and programming languages like SAS/R. - Domain knowledge in PPNR, Fixed Income Securities, Mortgage Modeling, and other financial concepts. - Strong analytical skills to synthesize quantitative and qualitative data for decision-making. - Ability to effectively manage multiple projects and deadlines.,

You will be joining AGR Knowledge Services Pvt. Ltd, a company specializing in Research and Consulting with a focus on providing outsourced research solutions to global clients. The company has successfully completed over 3000 assignments for more than 250 clients worldwide, with a significant portion of revenue coming from repeat clients. AGR leverages three decades of strategic consulting expertise from its parent company to deliver unique global research solutions. As an Analyst in Investment Research, your role will involve handling various assignments for global financial services clients, including asset managers, PE/VC funds, family offices, investment banks, and corporate M&A teams. Your responsibilities will include delivering equity/credit research reports, financial models, business valuations, due diligence, pitch books/information memorandums, and macro/sector/market analysis. You will work on diverse projects covering different asset classes and geographies, understanding client needs, scoping project requirements, executing projects with minimal supervision, engaging with clients regularly, and presenting deliverables effectively. Qualifications and Skills: - MBA in Finance with 2-4 years of relevant experience in equity/credit/corporate finance and advisory - Excellent analytical and communication skills for client interactions and understanding their requirements - Proficiency in financial modeling and valuation methods such as DCF, SOTP, IRR, trading, and transaction comparables - Ability to perform in-depth analysis of companies/sectors/markets to support investment decisions - Proficiency in MS Excel, Word, and PowerPoint - Ability to work under tight deadlines, independently on unstructured projects, and with a focus on numbers - Working knowledge of statistical tools and foreign language proficiency will be advantageous - Experience in research & analytics with a solid understanding of financial markets - High learning agility, skills in receiving/giving feedback, focus, objective alignment, and emotional resilience If you are a passionate individual with the required qualifications and skills, this is an exciting opportunity for you to contribute to the growth story of AGR Knowledge Services Pvt. Ltd as an Analyst in Investment Research based in Mumbai (Hybrid work model).,

As a Senior Associate in the investment company, your primary responsibility will be to provide end-to-end support to clients in preparing financial statements within strict deadlines for audit or client review. Your role is crucial in ensuring that all deliverables are completed accurately and on time. Some of the key responsibilities include: - Prepare and review private equity and hedge fund financial statements in compliance with relevant GAAP and regulatory requirements - Conduct on-the-job training and coaching for staff, providing performance feedback to managers - Manage risk by ensuring staff understand Standard Operating procedures, Key Controls, and Client Specific Procedures/Checklists - Coordinate workflow, estimate personnel needs, and oversee short-term deliverables - Implement standard practices, tools, and technology enhancements - Participate in resolving client issues and volunteer for ad-hoc projects - Serve as the primary contact for offshoring partners, ensuring all documentation is available and answering their queries To excel in this role, you should possess the following skills: - Fund Accounting - Transaction processing & Management - Financial Analysis - Excellent communication and problem-solving skills - Statistical analysis Qualifications required for this position include: - Bachelor's Degree in Commerce/Economics with a specialization in Business, Accounting, Finance, or equivalent experience - Professional qualifications like CA/CPA/ACCA are preferred - Knowledge of US GAAP/IFRS Additional qualifications and attributes: - Strong technology, problem-solving, and analytical skills - Leadership abilities within the team and among peers - Excellent communication, interpersonal, and organizational skills - 3+ to 5+ years of experience in Fund Financial Reporting/accounting or finance field State Street is a leading custodian bank, asset manager, and asset intelligence company globally, providing essential financial tools for effective investment solutions. The company offers a competitive benefits package, including medical care, insurance, savings plans, flexible work programs, and development opportunities to help employees reach their full potential. State Street is dedicated to creating a supportive work environment where employees are valued and empowered to succeed. If you are looking to make an impact in the financial services industry and have the necessary skills and experience, consider joining State Street to contribute to shaping the future. State Street is an equal opportunity and affirmative action employer, committed to fostering an inclusive environment where every employee can thrive. Explore more job opportunities at StateStreet.com/careers and join a team that values your growth and success.,

You will be responsible for developing Risk Segmentation models using sophisticated statistical techniques such as CHAID, cluster analysis, and pattern recognition. These models will help in identifying credit abuse and first party fraud risks at Acquisition and Existing Customer Management stages. Additionally, you will work on establishing swap set analysis and P&L optimization using these models and have hands-on experience in Credit/Fraud Risk strategy development. - Preferred knowledge of credit/fraud risk analytics is required for this role. - Collaborate closely with cross-functional teams, including business stakeholders, MRM, governance teams, and strategy implementation teams. - Implement initiatives to ensure consistency and compliance with global credit policies. - Observe key credit abuse trends, threats, inaccuracies, and drivers of these observations. - Support Audit requirements from external/internal auditors and respond to queries from Independent Risk. To excel in this role, you should possess strong analytical, strategic, and project management skills. You will be required to create storyboards, presentations, and project plans for discussions with senior management and governance requirements to derive valuable insights. Proficiency in utilizing UNIX and Statistical Analysis System (SAS) for risk, financial, and data analyses, including profiling, sampling, reconciliation, and hypothesis testing is essential. Knowledge and experience in statistical procedures and financial analytic tools such as SQL, R, Python, Hadoop, Spark, SAS, and Machine Learning will be an advantage. Experience in pre/post validation of deployed strategies and models and monitoring strategy performance against established benchmarks is also expected. The ideal candidate should have a minimum of 4 years of relevant experience and hold an Advanced Degree (Masters required) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or any other highly quantitative discipline. This position falls under the Decision Management job family and the Business Analysis job family. It is a full-time opportunity at Citi, an equal opportunity and affirmative action employer.,

As a Vice President within the AI-first Strategic and Market Intelligence team at J.P. Morgan's Commercial & Investment Bank, you will have the opportunity to spearhead the establishment of the team, set its strategic direction, foster an AI-promoting mindset, and leverage advanced analytics to generate actionable insights. Your role will involve leading a high-impact, agile team to deliver strategic research and intelligence to the Commercial & Investment Bank Management team, defining and promoting the research strategy in alignment with the business priorities of the Commercial & Investment Bank. - Define and drive the research strategy in alignment with the CIB's business priorities, setting clear objectives and deliverables for the team. - Stay informed about AI application developments, both internally and externally, to constantly look for ways to enhance the research and insight generation process. - Act as a change agent, demonstrating agility in adopting new AI applications to enhance the research and insight generation process. - Leverage diverse data points, including internal data, qualitative information, and expert inputs, to develop analytical and statistical models for trend identification and emerging trend analysis. - Develop and utilize a deep understanding of the CIB and its strategic priorities to assess the impact of emerging trends on the business. - Oversee all research deliverables, ensuring accuracy, relevance, and actionable recommendations that drive strategic value. - Build a "culture of excellence" within the team, constantly seeking to improve accuracy, speed, and impact of research deliverables. - Advanced degree in business administration, finance, economics, technology, or a related field. - Minimum 10 years of experience in a strategic leadership role, preferably with. Preferred qualifications, capabilities, and skills: - Innovative AI-first mindset and familiarity with modern research tools; proven success at leveraging tools for problem-solving and answering strategic business questions. - Knowledge of machine learning techniques to synthesize complex data into high-impact insights and strategic recommendations. - Excellent written communication skills, with the ability to produce engaging and persuasive research reports and executive-ready presentations. - Demonstrated success in leading high-performing teams and driving strategic initiatives. - Proven senior-level experience in strategy, consulting, or innovation within the financial services industry. - Knowledge of the financial services sector is preferred.,

As a Demand Planning Manager at Pilgrim, you will play a crucial role in leading the Sales & Operations Planning process. Your responsibilities will include: - **Lead the S&OP (Sales & Operations Planning) process:** Facilitate and drive the monthly S&OP cycle to align demand forecasts with supply plans, financial targets, and business strategies. - **Develop and refine forecasting models:** Utilize advanced statistical and machine learning models to generate accurate demand forecasts, incorporating market trends, promotional activities, and new product launches. - **Inventory management:** Oversee inventory levels across all channels (e-commerce, retail, and modern trade) to minimize stock-outs and excess inventory, while optimizing working capital. - **Cross-functional collaboration:** Work closely with sales, marketing, supply chain, and finance teams to gather market intelligence and ensure alignment on demand plans. - **Team leadership:** Mentor, train, and manage a team of demand planners, fostering a culture of continuous improvement and analytical excellence. - **Performance reporting:** Develop and present key performance indicators (KPIs) and reports on forecast accuracy, inventory health, and demand trends to senior leadership. - **Market analysis:** Stay abreast of industry trends, competitor activities, and consumer behavior to enhance forecasting accuracy and identify growth opportunities. **Qualifications Required:** - 5-10 years of experience in a similar field - Proficiency in advanced statistical forecasting techniques and software (e.g., SAP APO, Anaplan, Fountain9, or similar). - Strong analytical and problem-solving abilities. - Excellent communication and interpersonal skills. - Proven leadership and team management capabilities. - High proficiency in MS Excel and data visualization tools. The company, Pilgrim, founded in 2019 by IIT-B and IIM-A Alumni, is one of the fastest-growing Beauty & Personal Care brands. Pilgrim offers 250+ SKUs across face care, haircare, skincare, makeup, and fragrances at over 25,000 pin codes. It has grown into a 1000+ offline store omnichannel brand known for handpicking the world's best beauty secrets to create exciting and efficacious products that deliver results. Location: Marol, Andheri,

Role Overview: You will be responsible for designing and implementing processes and solutions related to various data sets for data/text mining and analysis to support informed business decisions. Your role will involve gaining insights into key business deliverables by examining structured and unstructured data from multiple disparate sources. You will be expected to effectively utilize current and emerging technologies to evaluate trends, develop actionable insights, and make recommendations to management based on the information available for analysis. Additionally, you will learn to use data, statistical, and quantitative analysis to drive decision-making. Key Responsibilities: - Work closely with sales and marketing personnel to develop and implement competitive pricing strategies - Deep dive into customer business, RFP requirements, and FedEx competitive position to optimize profitability and win ratio - Devise strategies to retain current business and attract new incremental business while meeting profit requirements - Develop an understanding of customers, market segments, and competitive landscape/industry trends - Analyze customer transactional data to develop comprehensive insights on customers for optimizing product/service offerings and driving pricing decisions - Develop policies and procedures for pricing analysis and approvals - Understand price boundaries, floor and target price setting, and ensure adequate internal controls and compliance mechanisms are in place to prevent revenue leakage - Develop and enhance pricing models and provide pricing recommendations to the commercial organization with supporting analysis Qualifications Required: - Understanding of US Enterprise Pricing/SAM Pricing in line with commercial strategy to achieve overall revenue objectives - Business planning and financial modeling skills - 4+ years of working experience on all US OpCos Pricing (FXE, FXG, FXF) - Provide recommendations to business partners and management on a broad range of business-critical topics - Coaching and mentoring team members on complex pricing proposals - At least 6+ years of experience, with 4+ years in a Commercial Pricing role - Extensive experience working on complex pricing bids for US Enterprise/SAM customers - Thought leader with a strategic mindset and broad global business outlook - AIM/Ilead completed preferred - MBA in Marketing/Finance from a top-tier institute required Additional Company Details: FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 Worlds Most Admired Companies by "Fortune" magazine. The company follows a People-Service-Profit philosophy (P-S-P) that emphasizes taking care of its people, delivering impeccable service to customers, and reinvesting profits back into the business and its employees. FedEx values diversity, equitable treatment, and growth opportunities for all team members. The company's culture and values have been key factors in its success and growth since its inception in the early 1970s.,

You will be part of the USPB Risk Management team at Citi, focusing on developing stress loss models for international unsecured portfolios. Your main responsibility will be developing CCAR/DFAST stress loss models for portfolios such as Credit Card and Personal Loan. This role involves working closely with cross-functional teams and preparing responses for regulatory agencies. Key Responsibilities: - Obtain and conduct QA/QC on all data required for stress loss model development - Develop segment and/or account level stress loss models - Perform sensitivity and back-testing - Validate and recalibrate models annually - Deliver comprehensive model documentation - Work closely with cross-functional teams including business stakeholders, model validation teams, and model implementation team - Prepare responses/presentations for regulatory agencies on all regulatory models built Qualifications Required: - Advanced Degree in Statistics, Applied Mathematics, Operations Research, Economics, or Quantitative Finance - Strong programming skills in SAS, R, Matlab, etc. - 5+ years of analytics experience - Experience in statistical modeling, loss forecasting, loan loss reserve modeling, and econometric modeling of consumer credit risk stress losses - Experience in end-to-end modeling process - At least 2 years of experience in credit scorecard or loss forecasting model development - At least 2 years of experience working for developed markets - Ability to manage own projects independently - Effective communication skills to convey technical information to both technical and non-technical audiences (Citi is an equal opportunity and affirmative action employer.),

Role Overview: As a Transformation Associate in the Finance team, you will play a key role in defining, refining, and delivering set goals for the firm. Your focus will be on delivering both strategic and tactical solutions for the broader Treasury team. Engaging in ongoing strategic projects aimed at improving the firm's efficient utilization of resources will be a crucial part of your responsibilities. You are expected to demonstrate skill in developing complex and analytical solutions, cultivate partnerships across groups, identify new business opportunities, and thrive in a fast-paced and dynamic environment. Key Responsibilities: - Learn about the CIBs technology resource footprint, including data processes supporting the balance sheet, risk-weighted assets (RWA), and general concepts around capital and liquidity. - Develop familiarity with the CIBs data systems, tools, businesses, and products. - Support the strategic implementation of key business processes, such as forecasting framework for the CIBs balance sheet, liquidity, and RWA. - Assist in the strategic build-out of cross-CIB analytics and streamlined data flows. - Collaborate closely with colleagues across CIBT, technology, and different lines of business. Qualifications Required: - Proven experience programming in Python, or any other statistical programming language. - Comfortable managing large amounts of data with a strong process and control mindset. - Strong analytical, creative thinking, and problem-solving skills. - Strong interpersonal and communication (verbal and written) skills, with the ability to present information clearly and effectively. - Strong project management and communication skills, with the versatility to work independently or as part of a team on multiple projects simultaneously. - Self-starter with the ability to organize and execute responsibilities with limited supervision, taking ownership of tasks at hand. - Ability to work under pressure, rapidly prototype solutions, prioritize tasks, and bring projects to completion. Additional Company Details: - Working knowledge of Investment Bank products, derivatives, prime brokerage, secured funding, financial theory, and accounting principles preferred. - Minimum of 5 years of financial modeling experience required, with familiarity in Balance Sheet and Banking/markets products considered a plus. - University degree in a quantitative discipline/engineering (e.g., statistics, mathematics, computer science, economics, engineering) is necessary; a finance degree (MBA) is preferred. - Excellent working knowledge of Excel. Knowledge of Tableau, Python, and Alteryx is preferred.,

As a Senior Financial Analyst at NTT DATA, you will play a critical role in the Global Financial Planning and Analysis (FP&A) team. Your responsibilities will include: - Extracting data from financial reports to conduct financial and statistical analysis, identifying discrepancies, and recommending appropriate solutions. - Driving and supporting system enhancements and testing in financial planning platforms such as Hyperion, SAP, and Power BI. - Developing reporting enhancements within different reporting platforms like Power BI and Hyperion. - Collaborating with other finance groups to collect budgeting and forecasting inputs, customer contract details, and actual cost activity. - Monitoring and reporting on key financial and operational metrics for targeted departments. - Developing business partner relationships with assigned operational leaders within targeted departments. - Identifying risks, opportunities, and areas for improving business results. - Participating in user testing to deploy system enhancements across key financial planning platforms. - Collaborating with the Global FP&A team to support the transition to a global structure. - Conducting budget and expense analysis, reporting on variances, and assisting with cost reduction initiatives. - Reconciling and reviewing monthly account analysis for balance sheet accounts. - Ensuring budget and forecast variances are analyzed and recommendations are made to improve company performance. - Performing other duties and adhoc analytics as assigned. In addition, you will be expected to demonstrate the following knowledge, skills, and abilities: - Excellent attention to detail and high-quality work. - Strong verbal and written communication skills. - Effective planning and organizing abilities. - Deadline-driven with the ability to handle stressful situations. - Proactive approach with a solutions-oriented mindset. - Advanced analytical skills and the ability to provide actionable insights based on analysis. - Knowledge of international entities, foreign currency, and inter-company transactions. - Ability to work across different cultures and systems. - Strong understanding of complex financial and accounting terminology. Qualifications for this role include: - Bachelor's degree or equivalent in finance, economics, business management, statistics, or a related field. - Relevant financial analysis certification(s) preferred. - Minimum 5-8 years of high-level Financial and Capital Planning/FP&A experience. - Advanced experience with accounting software. - Extensive experience within finance in a company with international operations. - Knowledge of IFRS and GAAP. This position is primarily remote with occasional onsite work in a shared environment. Flexible work hours and up to 10% travel may be required. NTT DATA is an Equal Opportunity Employer offering a hybrid working environment.,

You are a strategic thinker passionate about driving solutions in Transformation. You have found the right team. As a Transformation Associate in the Finance team, you will spend each day defining, refining, and delivering set goals for the firm. You will be responsible for managing the liquidity, balance sheet, and capital positions of the investment banking businesses, establishing a transparent and market-based funds transfer pricing policy, and developing methodologies and metrics to improve the leverage, capital, collateral, and liquidity risk management capabilities of the Corporate and Investment Bank. **Key Responsibilities:** - Contribute to an innovative team by creating sustainable end-to-end strategic solutions, defining business requirements, and conducting user acceptance testing, while supporting in-depth data analysis. - Develop a keen familiarity with the CIB's data systems and tools, supporting both short-term and long-term technology strategies. - Proactively identify and translate business challenges related to capital and liquidity management into quantitative analyses and user-friendly tools for a broad audience. - Collaborate effectively to establish close partnerships with peers across CIB Treasury, the greater CIB organization, and Corporate Treasury/CIO. - Communicate complex analyses, concepts, and tools to stakeholders both inside and outside of CIB Treasury in a clear and concise manner. **Qualifications Required:** - Minimum 4 years of relevant experience in financial analysis or equivalent is a must. - University degree in a highly quantitative discipline (e.g., statistics, mathematics, computer science, economics, engineering) with a finance degree (MBA) is required. - Proven experience programming Python, or any other statistical programming language; Strong excel skills are a must. - Strong interpersonal and communication (verbal and written) skills are essential. Imperative to self-manage project requirements and present information in a clear and concise manner to a wide variety of audiences. - Passionate about tackling difficult questions, conducting data analysis, and crafting a cohesive solution. - Experience collecting, aggregating, and curating structured and unstructured datasets from various sources. - Must be versatile, able to work effectively independently or as a contributor to a team, on multiple projects simultaneously. You are preferred to have familiarity with Balance Sheet and Banking/markets products. Development of web-based analytics and applications (e.g., Alteryx, Tableau, QlikView, Atoti, etc.) is a plus. Being a self-starter, able to organize, and execute responsibilities with limited supervision, taking ownership of tasks at hand is highly valued. You should also have the ability to work under pressure, rapidly prototype solutions, prioritize multiple tasks, and bring projects to completion.,

Role Overview: You will be changing the way things work by using data. Your main responsibility will be to create an objective model around any problem thrown at you. Additionally, you will merge data science, analytics, and machine learning by utilizing cutting-edge technology. Key Responsibilities: - Utilize data to change processes and procedures - Develop objective models for various challenges - Integrate data science, analytics, and machine learning using advanced technology Qualifications Required: - Bachelor's/Master's/PhD in a quantitative field with experience in statistics or quantitative analysis (e.g., computer science, applied mathematics, statistics) - Disciplined methodology when approaching large data sets - Proficiency in various statistical models and their implementation - Strong interest in learning and utilizing Machine Learning techniques and technology - Thorough understanding of Quantitative Finance theory Additional Details: The company offers a positive work environment conducive to research work. Effective contributions will pave the way for a fast-track progression towards becoming a member of the top management team. Remuneration is competitive and comparable with the best in the industry. If interested, please send your resume to careers@eisec.com.,

As a Senior Manager- Analytics Commercial at L'Oral, you will have the exciting opportunity to help define the Commercial Analytics Vision, manage the execution of data initiatives, guide data talent, drive analytics maturity, and ensure that the business is powered by data solutions. Reporting to AGM-Commercial and Consumer Analytics, you will play a crucial role in facilitating analytics use-cases generation, leading selection and prioritization, and overseeing the validation process. **Key Responsibilities:** - Work on developing D&A product vision, strategy, and roadmap for commercial analytics products in alignment with overall commercial/business objectives. - Collaborate with leadership, sales operations, commercial, and finance teams to gather and prioritize business requirements for analytical tools and reports. - Lead User Acceptance Testing (UAT) efforts to ensure that developed solutions meet business requirements and user expectations. - Focus on pricing and promotion analysis, develop and maintain promotion (Online/Offline) analytics AI/ML solutions, and utilize predictive analytics to optimize promotional spend and maximize ROI. - Analyze online promotion performance, conduct in-depth analysis of online promotion data, and develop insights into the effectiveness of different promotional strategies, channels, and targeting methods. - Develop and maintain sales forecasts using statistical modeling techniques, utilize predictive analytics to anticipate future market trends, and optimize inventory management. - Ensure data governance and quality control, implement data governance processes and best practices to maintain data quality. - Collaborate with cross-functional teams such as e-commerce, marketing, and other relevant teams to develop and implement D&A solutions. - Build and maintain strong relationships with key stakeholders across the organization, communicate the value of data and analytics effectively, and drive and monitor the usage and effectiveness of analytics products. - Proactively identify and address resistance to change, develop strategies to overcome objections, and foster a data-driven culture within the organization. **Qualifications:** - Masters in Management, Marketing, Data Sciences, Business Analytics, Statistics, Economics, or a related field. - 5-7 years of experience in D&A, commercial, and analytics. - Strong analytical and problem-solving skills. - Proficiency in statistical modeling and data mining techniques. - Experience with data visualization tools (e.g., Power BI). - Advanced Excel skills, including pivot tables, macros, and VBA. - Excellent communication and presentation skills. - Ability to work independently and as part of a team. - Experience in the beauty or consumer goods industry is a plus. **Additional Details:** - L'Oral, the world leader in cosmetics, is dedicated to providing the best in cosmetics innovation globally. The company supports diversity and ethical sourcing while reducing emissions significantly since 2005. - The business model is transforming towards O+O, with digital transformation as a key driver. The role offers the opportunity to develop enterprise-wide solutions for complex data to drive insights, improve decision-making, and automate processes. If you are a trusted thought leader with the ability to influence business and IT leaders, comfortable working with executives, and have a collaborative and innovative mindset, we invite you to be a part of our exciting journey at L'Oral. Physical Demands: Travel will be need-based.,

As a Reporting Analyst in the Storage team, you play a crucial role in data mining, preparing decision-making reports, and conducting statistical analysis on storage performance, inventory levels, and operational KPIs. **Key Responsibilities:** - Storage Reporting and data analysis - Develop data analytics routines using industry-standard tools to identify process or control gaps and cost optimization opportunities. - Review the usage of the system and suggest enhancements to ensure continuous improvement and further automation. **Qualification Required:** - Bachelor's degree or equivalent experience in Business or Data Analytics - Proficient in English both in spoken and written - Basic understanding of market costs and economics - Strong analytical skills, with the ability to interpret complex data, identify trends, and make recommendations - Basic Understanding of contract terms and logistics - System-oriented mentality with UAT understanding - Experience in applying sophisticated data analytics techniques and in developing automation tools - Ability to think outside of the box and identify solutions to improve efficiency and effectiveness **Additional Company Details:** - **Proficiencies:** - Excellent time management and prioritization skills - Good written and verbal communication - Completing tasks and fulfilling responsibilities in a timely manner with high-quality results - High degree of responsibility and accountability - Meticulous and detail-oriented - Outstanding team member with advanced analytical skills - Ability to be flexible and work to deadlines and under pressure - Demonstrated ability in analyzing workflows and simplifying complex processes - **Technical knowledge to include:** - Extremely proficient with MS Office Suite, especially Excel, Word, PowerPoint & Outlook. Should have hands-on experience leveraging MS Excel for data gathering & reporting using advanced skills such as Macros, VBAs, and integrating Excel with other tools. - Experience using data visualization tools such as QlikSense, Power BI, or Tableau for data analytics Interaction with Senior Management, IT, Operations, Traders, Deals Desk, Finance internal departments. Reporting Structure: Storage Coordinator Manager,

As a Quantitative Analyst at Citi's Cash Equity Quant team in Mumbai, you will play a crucial role in improving Cash Equity quantitative models and contributing to the development of cutting-edge algorithmic trading strategies. Your responsibilities will include: - Improving Cash Equity quantitative models through research and implementation for best-in-class execution performance. - Researching and analyzing ideas for enhancing existing and developing new quant models such as optimal schedule, market impact models, short-term predictive signals, and volatility-based signals. - Performing in-depth analysis of large data sets comprising market data, orders, executions, and derived analytics. - Conducting flow analysis and tuning performance for various client flows. - Providing data and analysis to support initial model validation and ongoing performance analysis. - Collaborating closely with Traders, Sales, Technology, and Model Risk professionals to drive innovation in the Electronic Trading domain. To qualify for this role, you will need: - A strong academic background in Finance, Mathematics, Engineering, Computer Science, or a related field (Masters or Bachelors degree). - Demonstrated experience in a comparable quantitative modeling or analytics role, preferably in the financial sector. - Experience applying statistical modeling and machine learning towards the analysis of large data sets. - Strong programming, analytical, and quantitative skills, with proficiency in statistical programming languages such as Python. - Experience with Q/KDB or time series databases would be advantageous. - Good communication skills, both verbal and written. - Ability to manage multiple tasks and projects effectively in a fast-paced work environment. In return, Citi offers you: - Innovation & Impact: Work in a fast-paced environment as a member of a quant group responsible for developing cutting-edge algorithmic trading strategies. - Challenging Initiatives: Be involved in new initiatives, contribute to Citis growing Equity Trading franchise, and learn the latest developments in the Electronic Trading domain. - Global Collaboration: Collaborate with quant teams in New York, London, and Hong Kong. - Career Growth: Combine strong quantitative, technical, and soft skills to foster innovation and professional development. - Comprehensive Benefits: Competitive compensation package and access to learning and development resources. If you are a highly motivated Quantitative Analyst with a passion for algorithmic trading and a strong analytical mindset, eager to contribute to a global team in Mumbai, we encourage you to apply.,