108 Statistical Finance Jobs nearby Baramati

Role Overview: As a Data Analyst in the healthcare industry, your main responsibility will be to collect, validate, and analyze hospital financial, clinical, and operational data. You will develop MIS dashboards and reports for management review, providing insights on revenue, cost, utilization, and efficiency trends. Key Responsibilities: - Data Analysis & Reporting: Collect, validate, and analyze hospital financial, clinical, and operational data. Develop MIS dashboards and reports for management review. Provide insights on revenue, cost, utilization, and efficiency trends. - Financial Analysis & Costing: Support hospital costing, service-line profitability, and break-even analysis. Monitor revenue cycle performance (billing, collections, TPA/Insurance). Perform variance analysis against budgets and forecasts. - Business Intelligence & Decision Support: Use computational/statistical methods to model hospital performance (e.g., Cost per surgery, occupancy forecasting). Provide recommendations on pricing, cost optimization, and resource allocation. Assist management in preparing Annual Operating Plans (AOP). - Systems & Process Support: Work with IT/HMIS teams to design automated reporting tools. Ensure data accuracy and integrity in hospital information systems. Support digital initiatives like predictive analytics and AI-driven insights. Qualification Required: - Bachelor's Degree in Accounting/Commerce/Finance/Statistics/Economics. - Master in Finance/Hospital Administration (MHA)/Business Analytics preferred. - Professional Certification (CA/ICWA/CFA/CPA or equivalent) is an added advantage. - Experience in healthcare/hospital industry is strongly preferred.,

As a candidate for the position, your responsibilities will include: - Reporting: - Independently execute routine & intermediate transactions and resolve problems - Prepare and validate reports and maintain controls in alignment with internal policies and clients" needs - Stakeholder Interaction & Problem solving: - Interface with internal and external personnel including senior operations staff, legal, relationship management, IT, banks, brokers, custodians, portfolio managers, and/or traders to obtain information and resolve problems - Self-Initiated Research: - Enhance understanding of Principal Global Investors" products, team procedures, and clients" needs through self-initiated research, participation in available training programs, and involvement in ongoing investment activities - Other Project related activities: - Perform other job-related duties or special projects as required Qualifications required for this role include: - Providing prompt, courteous, and excellent service at an acceptable cost to all customers - Operating in an ethical manner in accordance with all applicable laws and regulations, the company's Corporate Code of Ethics, employee handbook, applicable compliance and operations policies and procedures, and other company policies - Possessing a high degree of integrity and actively cooperating and interacting with all entities of the Principal Financial Group - At least 15 years of formal education preferably in Finance/Commerce - Minimum of 3.5-5 years of Account/Finance/Reporting experience in the domain of Mutual Funds/Asset Management, Banking, or any other financial services organization - Excellent knowledge of Excel/Advanced Excel is essential - Able to perform data analysis using What If Analysis Function and understand/manipulate/present data, trends using basic statistical formulae - Hands-on documentation, making SOP, and willingness to work in multiple shifts - Good comprehension skills, analytical skills, good typing skills, detail-oriented, multitasking, ability to prioritize, good written & verbal communication skills, experience in navigating the internet, and ability to work on different applications - Knowledge of, or ability to obtain knowledge of, financial services and investment-related terminology - Consistently able to meet timing requirements and maintain SLA and produce work with a high degree of accuracy - Strong attention to detail to demonstrate possession of problem-solving and interpersonal skills - Able to read and interpret requests, apply correct rules, and accurately process data inputs - Success in this position requires a client service orientation, the ability to work under pressure in a deadline-driven, team-based environment, and the ability to prioritize effectively and be flexible as business needs change,

As a member of the team driving market strategy for one of the most innovative banks, your role will involve leading in complex pricing execution scenarios and handling ad-hoc requests for our largest global clients. You will act as a liaison between Sales and Product teams, providing innovative solutions that consider holistic client relationships and product-specific concerns. Your responsibilities will also include improving pricing models for complex deals, enhancing controls over data inputs and outputs, and developing model efficiencies. Additionally, you will integrate pricing models across targeted products and business strategies, as well as develop client-based reporting to support Sales in pitching unique offerings and potential client savings. Furthermore, you will facilitate custom deal reviews, conduct financial data mapping and reconciliation, and manage team priorities independently with strong work ethics. **Key Responsibilities:** - Lead complex pricing execution scenarios and ad-hoc requests for largest global clients - Act as a liaison between Sales and Product teams to provide innovative solutions - Improve pricing models for large and complex deals - Enhance controls over data inputs, outputs, and model efficiencies - Integrate pricing models across product and business strategies - Develop client-based reporting for Sales pitches - Facilitate custom deal reviews and financial data reconciliation - Manage team priorities independently with good work ethics **Qualifications Required:** - 6+ years of experience in pricing, product, TS sales, finance, or consulting roles - Strong financial modeling skills, including financial statement analysis and business case development - Detail-oriented problem-solving approach with ability to structure complex problems and develop data-driven solutions - Executive presence with effective communication skills for senior stakeholders - Strong interpersonal skills for collaboration with cross-functional stakeholders - Strategic thinking ability to proactively create new solutions - Strong project and process management skills - Excellent command of MS Excel and PowerPoint, familiarity with analytical and data visualization tools In addition to the required qualifications, preferred qualifications for this role include a degree in Mathematics, Statistics, Finance, or Business, with an MBA being preferred. Experience with pricing and/or valuation, along with a team-oriented and inquisitive mindset, will be beneficial. Previous experience in analysis and strategy, along with fact-based writing and storytelling skills, will also be advantageous for this position.,

As a member of the team driving market strategy for one of the most innovative banks, your role will involve leading in complex pricing execution scenarios and ad-hoc requests for our largest (Enterprise) global clients. You will act as a liaison between Sales and Product teams, providing innovative solutions that consider holistic client relationships and product-specific concerns. Your responsibilities will include improving pricing models for complex deals, enhancing controls over data inputs and outputs, and developing efficiencies in pricing models. Additionally, you will integrate pricing models across targeted products and strategies, develop client-based reporting to support Sales pitches, and facilitate custom deal reviews including sensitivity and scenario planning. Your role will also involve mapping and reconciling financial data for Treasury Services pricing, and managing team priorities independently with a strong work ethic. Key Responsibilities: - Lead in complex pricing execution scenarios and ad-hoc requests for largest global clients - Act as a liaison between Sales and Product teams to provide innovative solutions - Improve pricing models for complex deals and enhance controls over data inputs and outputs - Integrate pricing models across targeted products and strategies - Develop client-based reporting to support Sales pitches - Facilitate custom deal reviews, including sensitivity and scenario planning - Map and reconcile financial data for Treasury Services pricing - Manage team priorities independently with a strong work ethic Qualifications Required: - 4-6 years of experience in pricing, product, TS sales, finance, or consulting roles - Strong financial modeling experience, including financial statement analysis and business case development - Detail-oriented approach to problem-solving and ability to develop data-driven solutions - Executive presence with strong interpersonal and communication skills - Ability to think strategically and proactively create new solutions - Strong project and process management skills - Excellent command of MS Excel and PowerPoint; familiarity with analytical and data visualization tools In addition to the required qualifications, the following skills are preferred: - Degree in Mathematics, Statistics, Finance, or Business; MBA preferred - Experience with pricing and/or valuation focus - Team-oriented and critical thinker with strong analytical and presentation skills Join this dynamic team to drive market strategy and make a significant impact in the banking industry.,

As India's leading financial services and Broking Company with over 900 investment centers across the country, Arihant Capital shapes its actions based on the values of Integrity, Client Commitment, Respect, Excellence, and Innovation. **Key Responsibilities:** - **Strategy Development:** - Research, design, and develop proprietary algorithmic trading strategies across various asset classes. - Utilize quantitative methods and statistical models to identify profitable trading opportunities. - **Algorithm Implementation:** - Code, test, and implement algorithmic trading strategies using programming languages such as Python, C++, or Java. - Ensure the efficient execution of algorithms by collaborating with technology and infrastructure teams. - **Risk Management:** - Monitor and manage the risk associated with algorithmic trading strategies. - Implement risk controls and conduct ongoing performance analysis to optimize trading algorithms. - **Market Research:** - Stay abreast of market trends, economic indicators, and global events that may impact financial markets. - Conduct in-depth research to identify new trading opportunities and refine existing strategies. - **Collaboration:** - Work closely with other members of the trading team, as well as technology, compliance, and operations teams. - Collaborate with quantitative analysts and researchers to enhance trading models and algorithms. - **Compliance and Regulation:** - Ensure that all trading activities comply with relevant financial regulations and internal compliance policies. - Stay informed about changes in regulatory requirements and adjust strategies accordingly. - **Performance Monitoring:** - Monitor and evaluate the performance of trading algorithms in real-time. - Implement improvements and adjustments based on ongoing analysis. **Qualifications and Skills:** - Bachelor's or advanced degree in finance, mathematics, computer science, or a related field. - Proven experience as an algorithmic trader in a financial institution or proprietary trading firm. - Strong programming skills in languages such as Python, C++, or Java. - Deep understanding of financial markets, trading strategies, and risk management. - Excellent analytical and quantitative skills. - Ability to work in a fast-paced and dynamic trading environment. - Strong communication and teamwork skills. (Note: No additional details of the company were provided in the job description.),

As a model/UI developer, your role involves utilizing advanced programming skills in R and R Shiny to develop credit rating models and algorithms. You will leverage your R Shiny expertise to create user-friendly UIs and collaborate with analytical teams to implement models accurately. Additionally, you will communicate complex concepts to technical and non-technical stakeholders and stay updated on industry trends. Key Responsibilities: - Utilize advanced programming skills in R to develop and implement credit rating models and algorithms - Use R Shiny skills to build intuitive and user-friendly UI - Collaborate with analytical teams to translate criteria documents and implement models - Communicate complex concepts and findings to technical and non-technical stakeholders - Stay informed about industry trends and best practices in UI design and financial programming Qualifications Required: - Advanced programming skills in R and R Shiny, with a strong understanding of statistical analysis and UI/UX design - Background in the finance industry, with knowledge of financial markets and instruments - Excellent communication skills to convey technical concepts effectively - Strong problem-solving and analytical abilities - Experience with structured finance is preferred - Experience in application development using Python, Java, or C++ if not proficient in R/ R Shiny,

As the Senior Testing Analyst (SAS-PEGA) (AVP) in Consumer Credit Risk at our organization, your primary responsibility is to develop and manage comprehensive test strategies, plans, and scripts to ensure the accurate integration of credit risk strategies and business rules across multiple teams and platforms. Your role will focus on testing the implementation of credit strategies to support the organization's broader credit risk initiatives and drive continuous improvements in testing methodologies. You will report to the Senior Leader of Consumer Credit Risk Testing and Validation. **Key Responsibilities:** - Lead the creation of comprehensive test strategies for credit risk models, decisioning engines, and business rules that drive consumer lending and credit risk assessments. - Oversee the development of detailed test plans, including scope, objectives, resources, schedules, and deliverables, ensuring alignment with the credit risk framework. - Direct the design and execution of test scripts that validate credit risk rules integration, ensuring accuracy in reflecting all risk factors, decision rules, and regulatory compliance requirements. - Ensure all test cases are aligned with credit risk policies and that any changes in strategy are properly tested for functional and operational accuracy before deployment. - Work closely with cross-functional teams to ensure effective integration of business rules and risk models. - Implement and maintain strong risk management practices throughout the testing process, identifying potential issues and mitigating risks associated with new credit risk strategies. - Drive ongoing improvements in test methodologies, tools, and processes to enhance efficiency, effectiveness, and accuracy across credit risk-related testing activities. - Ensure accurate reporting of test results, including defect tracking, resolution, and metrics that reflect testing effectiveness and coverage. Maintain thorough documentation of test strategies and processes. **Qualifications:** - Bachelor's degree in a relevant field (e.g., finance, risk management, information technology). A Master's degree or certifications in credit risk, financial analysis, or software testing is a plus. - 7+ years of experience in consumer credit risk management or financial services, with experience executing test strategies for credit risk systems or decision engines. - Strong knowledge of credit risk modeling, decisioning platforms, and rules engines. Familiarity with testing tools and automation frameworks is preferred. Proficient in SQL and SAS. - Proven experience leading, mentoring, and developing high-performing teams in complex testing environments. - Ability to analyze test results and credit risk impacts, providing actionable insights to improve overall strategy and decision-making processes. - Strong verbal and written communication skills, with the ability to convey complex test results and credit risk insights to senior management and stakeholders. - Strong critical thinking and problem-solving skills, especially in the context of complex systems and regulatory compliance requirements. - Strong understanding of technology platforms, automation tools, and data analytics that support risk model/strategy testing and validation. - Experience incorporating AI/ML or advanced statistical methodologies into credit risk testing processes is preferred.,

As a Lead Data Analyst at our organization in Pune, you will be instrumental in driving data-driven decision-making processes. Your role will involve leveraging your expertise in data analysis and statistical techniques to provide insights that enhance business performance, with a focus on retail demand forecasting. **Key Responsibilities:** - Lead the analysis of complex data sets to identify trends and patterns that inform business strategies. - Oversee the development and implementation of data models using SAS and R Statistical Package. - Provide insights through exploratory data analysis to support decision-making processes. - Utilize LS Salesforce and Dataiku to streamline data workflows and enhance data accessibility. - Conduct incentive compensation management analysis to optimize sales performance. - Apply machine learning techniques to improve predictive accuracy in demand forecasting. - Calculate ROI to assess the effectiveness of business initiatives and strategies. - Employ Alteryx for data preparation and blending to ensure data quality and consistency. - Develop and maintain SQL scripts for data extraction and manipulation. - Use Python for advanced data analysis and automation of repetitive tasks. - Create comprehensive reports and presentations using MS Excel and MS PowerPoint to communicate findings to stakeholders. - Collaborate with cross-functional teams to align data analysis efforts with business objectives. - Ensure data integrity and security in all analytical processes. **Qualifications:** - Possess a strong technical background with mandatory skills in SAS, LS Salesforce, Statistics, EDA, Incentive Compensation Management, Dataiku, Machine Learning, ROI Calculation, Alteryx, Retail Demand Forecasting, R Statistical Package, MS Excel, Python, SQL Scripting, and MS PowerPoint. - Demonstrate excellent analytical and problem-solving skills with a focus on actionable insights. - Exhibit proficiency in English for effective communication and collaboration. - Have domain experience in Finance & Accounting as a nice-to-have skill. - Show ability to work in a hybrid model with a focus on day shifts. - Display strong organizational skills and attention to detail in managing data projects.,

As a highly skilled Quantitative Developer eager to contribute to cutting-edge algorithmic trading strategies within a global financial institution, you have the opportunity to join Citi's Cash Equity Quant team in Mumbai. This role involves improving Algorithmic Trading products by performing both implementation and research work to provide best-in-class execution performance. You will work on enhancing existing algorithms, developing new models, and implementing algorithm enhancements with production-quality code. Collaboration with Traders, Sales, and technology professionals is essential in this role, along with contributing to building a culture of responsible finance and good governance. Key Responsibilities: - Improve Algorithmic Trading products through implementation and research work to achieve best-in-class execution performance. - Enhance existing algorithms, develop new models, and implement algorithm enhancements with production-quality code. - Apply best practices in developing and testing modular, reusable, and robust trading components and strategy code. - Collaborate closely with Traders, Sales, and technology professionals. - Contribute to building a culture of responsible finance, good governance, and supervision. Qualifications Required: - Masters or Bachelors degree in Finance, Mathematics, Engineering, Computer Science, or a related field. - Extensive experience in a comparable quantitative development and analysis role, preferably in the financial sector. - Strong programming and software design skills in Java. - Analytical and quantitative skills, with experience using statistical programming languages such as Python or R. - Experience with Q/KDB or time series databases is a plus. - Experience working with algorithmic trading products is preferable. - Good communication skills, both verbal and written. - Ability to manage multiple tasks and projects effectively in a fast-paced work environment. If you are a highly motivated Quantitative Developer with strong programming skills and a passion for algorithmic trading, eager to contribute to a global team in Mumbai, we encourage you to apply for this exceptional opportunity offered by Citi.,

As a Data Scientist joining our US Startup, you will have the opportunity to work remotely from any location with an internet connection, avoiding long commutes and in-person meetings. If you are passionate about designing and building machine learning solutions using Python, gaining experience in a Startup environment, and are ready to work hard and play harder, this position is tailored for you. **Key Responsibilities:** - Conduct empirical research using public and proprietary data under the guidance of senior researchers - Perform data gathering, cleaning, data modeling, and maintenance of datasets - Prepare and test data using Python (ETL) on a daily basis - Develop dashboards, charts, and visual aids to facilitate decision-making - Utilize statistical techniques to derive analytic insights and recommendations - Conduct ad hoc quantitative analyses and modeling using Python and SQL - Diagnose and resolve issues in production - Collaborate with development teams to enhance the company's technology suite - Assess and prioritize client feature requests **Qualifications Required:** - Pre-final year student in Statistics/Math, Computer Science, Finance/Economics, or related quantitative fields (Ph.D. candidates encouraged to apply) - Experience with ML libraries like Scikit-learn, caret, NLTK or spark MLlib - Proficiency in Python (Data Science stack) - Data Engineering experience/coursework and ability to integrate multiple data sources - Proficient in SQL, relational databases, and MS-Excel - Familiarity with data visualization tools such as Power BI, Tableau, etc. - Comfortable with UNIX Operating System - Knowledge of Docker and Git - Strong analytical, design, problem-solving, and troubleshooting skills - Ability to work independently in a home office without constant supervision **Additional Details:** - Candidates are required to complete a pre-screening behavioral assessment form as part of the application process. - The company has a zero-tolerance policy for plagiarism during the screening test. - Flexible hours and competitive stipend/salary are some of the benefits offered. If you are a highly quantitative individual who is reliable, independent, and enjoys collaboration, this is your chance to join a dynamic team where experimentation and innovation are encouraged. Please ensure to submit your assignment as a zip attachment via email to be considered for this exciting opportunity.,

Role Overview: As a member of the USPB Risk team, your primary responsibility will be to develop CCAR/CECL models for unsecured portfolios such as credit cards and installment loans. This includes obtaining and conducting QA/QC on all necessary data, developing segment and/or account level stress loss models, performing required tests like sensitivity and back-testing, and validating/recalibrating models annually with the latest data. Additionally, you will be tasked with delivering thorough model documentation and collaborating closely with cross-functional teams, regulatory agencies, and business stakeholders. Key Responsibilities: - Obtain and conduct QA/QC on all necessary data - Develop segment and/or account level stress loss models - Perform required tests like sensitivity and back-testing - Validate/recalibrate models annually with the latest data - Deliver thorough model documentation - Collaborate closely with cross-functional teams, regulatory agencies, and business stakeholders Qualifications Required: - An Advanced Degree in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or a related quantitative discipline - At least 5 years of experience in quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and econometric modeling of consumer credit risk stress losses - Experience with unsecured products is considered advantageous - Proficiency in SAS, SQL, Oracle, Unix, Microsoft Word, Excel, and PowerPoint - The ability to communicate technical information effectively to both technical and non-technical audiences,

As a Quantitative Analyst in Citi's Cash Equity Quant team in Mumbai, you will play a crucial role in improving Cash Equity quantitative models through research and implementation work, with a focus on achieving best-in-class execution performance. Your responsibilities will include: - 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. Qualifications required for this role include: - Strong academic background with a Masters or Bachelors degree in Finance, Mathematics, Engineering, Computer Science, or a related field. - Demonstrated experience in a comparable quantitative modeling or analytics role, ideally 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 experience using 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. This position offers you the opportunity to work in a fast-paced environment, collaborate globally, and contribute to challenging initiatives while fostering innovation within the team culture. You will receive a competitive compensation package and access to various learning and development resources, providing a clear path for your professional development. If you are passionate about algorithmic trading and possess a strong analytical mindset, we encourage you to apply for this role in Mumbai.,

Analyzing financial data, creating financial models, preparing reports, and forecasting trends to help management make informed decisions. Key responsibilities involve evaluating investment opportunities, assisting with budgeting, monitoring financial performance, and conducting market research. Strong skills in financial modeling, data analysis, and software like Excel are essential for the role, along with excellent communication and problem-solving abilities.  Consolidating and analyzing financial data, taking into account company's goals and financial standingProviding creative alternatives and recommendations to reduce costs and improve financial performanceAssembling and summarizing data to structure sophisticated reports on financial status and risks.  We are looking for a Financial Analyst to provide accurate and data based information on company's profitability, solvency, stability and liquidity. You will research and analyze financial information to help company make well informed decisions, write reports and monitor financial movements.  Consolidate and analyze financial data (budgets, income statement forecasts) taking into account company's goals and financial standingProvide creative alternatives and recommendations to reduce costs and improve financial performanceAssemble and summarize data to structure sophisticated reports on financial status and risksDevelop financial models, conduct benchmarking and process analysisConduct business studies on past, future and comparative performance and develop forecast models.  Requirements and skillsProven working experience as a Finance AnalystProficient in spreadsheets, databases, MS Office and financial software applicationsHands on experience with statistical analysis and statistical packagesOutstanding presentation, reporting and communication skillsProven knowledge of financial forecasting and diagnosis, corporate finance and information analysisWell informed in current financial subjects, accounting, tax laws, money market and business environmentsBS degree in Finance, Economics or related field

Job Description POSITION SUMMARY Check figures, postings, and documents for accuracy. Organize, secure, and maintain all files, records, cash and cash equivalents in accordance with policies and procedures. Record, store, access, and/or analyze computerized financial information. Classify, code, and summarize numerical and financial data to compile and keep financial records, using journals, ledgers, and/or computers. Prepare, maintain, audit, and distribute statistical, financial, accounting, auditing, or payroll reports and tables. Complete period-end closing procedures and reports as specified. Prepare, review, reconcile, and issue bills, invoices, and account statements according to company procedures. Follow-up and resolve past due accounts and vendor invoices until payment in full is received or resolved. Coordinate tasks and work with other departments; serve as a departmental role model or mentor; assign and ensure work tasks are completed on time and that they meet appropriate quality standards. Report work-related accidents, or other injuries immediately upon occurrence to manager/supervisor. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Speak with others using clear and professional language; prepare and review written documents accurately and completely; answer telephones using appropriate etiquette. Develop and maintain positive working relationships with others; support the team to reach common goals; listen and respond appropriately to the concerns of other employees. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Perform other reasonable job duties as requested by Supervisors.

You will be working as a Senior Analyst in Investment Research at AGR Knowledge Services Pvt. Ltd, a Research and Consulting firm catering to global manufacturing, financial services, consulting, and technology companies. Your role will involve handling assignments for global financial services clients, including asset managers, PE/ VC funds, family offices, investment banks, and corporate M&A teams. You will be responsible for delivering equity/credit research reports, financial models, business valuations, due diligence, pitch books, information memorandums, and macro/sector/market analysis. Your qualifications should include CA/CFA/MBA Finance with 3-5 years of relevant experience in equity/credit/corporate finance and advisory. You should possess excellent analytical and communication skills to effectively engage with clients and understand their requirements. Proficiency in financial analysis, including financial modeling and valuation methods like DCF, SOTP, IRR, and trading and transaction comparables, is essential for this role. Additionally, you should have well-developed skills in MS Excel, Word, and PowerPoint. As a part of your responsibilities, you will work on a diverse range of projects covering various asset classes and geographies. You are expected to understand client needs, define project requirements, execute projects with minimal supervision, maintain regular communication with clients throughout the project, and present deliverables effectively. Your personal attributes should include the ability to work under tight deadlines, handle unstructured projects independently, possess expertise in numbers, and demonstrate high learning agility. Experience in research & analytics, proficient knowledge of financial markets, and working knowledge of various statistical tools will be advantageous. You should also exhibit a high level of focus, objective alignment, and emotional resilience in your work.,

You will be joining our Risk Analytics team as a Risk Analyst. Your primary role will involve identifying, analyzing, and assessing potential risks that could impact the organization. Utilizing data analytics, you will provide insights and recommendations to mitigate risks, ensuring the company's financial stability and compliance with regulatory requirements. Key Responsibilities: - Conduct thorough risk assessments by analyzing data and identifying potential risks to the organization. - Develop and implement risk management strategies and models to predict and mitigate potential risks. - Monitor and report on risk exposure and the effectiveness of risk management practices. - Collaborate with various departments to understand and address their risk-related concerns. - Create comprehensive risk reports and present findings to senior management. - Stay updated with industry trends, regulatory changes, and best practices in risk management and analytics. - Utilize statistical software and risk modeling tools to analyze large datasets and generate insights. - Perform stress testing and scenario analysis to evaluate the impact of different risk factors. Qualifications: - Bachelors degree in Finance, Economics, Statistics, Mathematics, or a related field. A Masters degree is preferred. - Proven experience in risk analysis, risk management, or a related field. - Proficiency in statistical software (e.g., SAS, R, Python) and data analysis tools. - Strong analytical and problem-solving skills. - Excellent communication and presentation skills. - Knowledge of regulatory requirements and industry standards related to risk management. - Ability to work independently and as part of a team. - Strong attention to detail and the ability to manage multiple tasks simultaneously. Preferred Skills: - Familiarity with Credit bureau datasets. - Professional certifications such as FRM (Financial Risk Manager) or PRM (Professional Risk Manager) are a plus. - Familiarity with database management and SQL.,

As a Quant Analytics Market Risk / Treasury - Vice President at Barclays, you will be driving the evolution of the Risk function by developing best-in-class credit risk models using industry-leading model development frameworks & methodologies. Your role will involve working in a global quant team, collaborating with regulators worldwide, and leveraging cutting-edge technology. Effective stakeholder management, leadership, and decision-making skills are essential to support business strategy and risk management. Key Responsibilities: - Develop best in class credit risk models using industry leading model development frameworks & methodologies - Work in a global quant team and collaborate with regulators across the world - Utilize cutting-edge technology for model development and implementation - Effectively manage stakeholders, provide leadership, and make strategic decisions to support business objectives Qualifications Required: - Hands-on experience in Risk / Finance / Quant Modelling, particularly in Treasury Risk, Liquidity Modelling, Hedge accounting, ICAAP VAR Model, PRA110 liquidity reporting, and Model Implementation - Proficiency in technology with recent coding experience, preferably in Python, Python-OOP, C/C++, and version control methods - Advanced Technical Degree (Master's / PhD) in Statistics, Engineering, Numerical Analysis, Mathematics, Physics, Econometrics, Financial Engineering, Computer Science, or Financial Mathematics - Experience in Stress Testing/Scenarios Modelling, Model Development, Model Validation, Statistical Modelling, and familiarity with regulatory frameworks Good to Have Skills: - Certification in GARP-FRM, PRM, CQF, AI/ML Courses, and proficiency in coding and computer programming - Experience with R, MATLAB, Numerix, and database skills - Strong skills in Stakeholder management, leadership, and decision-making In this role, you will design, develop, implement, and support mathematical, statistical, and machine learning models and analytics for business decision-making. Your responsibilities will include designing analytics solutions, collaborating with technology for dependencies, developing high-performing solutions, implementing models in software, and providing ongoing support. It is crucial to adhere to Barclays Enterprise Risk Management Policies, particularly the Model Risk Policy, and work within the defined control environment. As a Vice President, you are expected to contribute to setting strategy, driving requirements, managing resources and policies, delivering continuous improvements, and demonstrating leadership behaviours. You will advise key stakeholders, manage and mitigate risks, demonstrate leadership in managing risk, and collaborate with other areas to achieve business goals. All colleagues at Barclays are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

As an Executive Director Analytics Solution Product Manager within the Commercial & Investment Bank's Central Planning & Analysis Data & Innovation Team, you will be taking on a visionary leadership role to revolutionize corporate finance and planning by integrating traditional financial modeling with advanced data science and analytics solutions. Your main responsibilities will include: - Develop and Execute Data & Product Strategy: Formulate and implement data and product strategies that deliver measurable value to end users and senior leadership. - Lead Analytics & Financial Modeling: Oversee the design, development, and implementation of financial models, forecasting tools, dashboards, and analytics solutions using SQL, Python, and BI tools (Qlik, Tableau). - Innovate with Data Science: Design predictive models and apply advanced data science methodologies (AI, ML, econometrics) to blend traditional finance with modern analytics. - Stakeholder Collaboration: Conduct user interviews, prioritize needs, and translate business requirements into effective analytical solutions. Establish and maintain collaborative partnerships with stakeholders across Finance, Risk, CIB LoBs, and Technology. - Executive Communication: Prepare and deliver executive-level presentations and reports, clearly communicating complex analytical findings to technical and non-technical audiences. - Team Leadership: Manage and mentor a high-performing team of 15+ analysts and data modelers, fostering a culture of innovation, collaboration, and continuous improvement. - Continuous Improvement: Promote intellectual curiosity and stay abreast of emerging trends in corporate finance, data science, and data consumption technologies. - Data Platform Expertise: Leverage cloud-based data platforms and emerging data consumption tools (e.g., AWS, Databricks) to enhance analytical capabilities. Qualifications Required: - Advanced degree in Finance, Quantitative Finance, Data Science, Economics, or a related field. - 18+ years of experience in data analysis, product management, and financial modeling within financial services. - Deep expertise in financial analysis, data strategy, and business intelligence tools (Qlik, Tableau). - Proficiency in SQL, Python, and traditional financial tools (advanced Excel, financial software). - Experience with data science/statistical analysis and programming/scripting (Python, R). - Excellent communication skills, with proven ability to prepare and deliver executive-level presentations. - Strong analytical, problem-solving skills, and attention to detail. - Demonstrated ability to formulate product strategy, manage a backlog, and drive roadmap execution. - Experience managing and mentoring cross-functional teams in a collaborative environment. - Financial services industry domain expertise. Additionally, preferred qualifications include experience with cloud-based data platforms and technologies (AWS, Databricks), a background in fintech, banking, asset management, or consulting for financial clients, and experience with emerging data consumption tools and advanced econometric methods.,

As a Business Analytics Analyst in the Fraud Analytics team at Citi, you will play a crucial role in developing and validating fraud detection models to support Citis North American Cards business. Your responsibilities will include: - Partnering closely with Strategy partners and Model Risk Management validators to support the model lifecycle, including validation, ongoing performance evaluation, and annual reviews. - Conducting model development, validation, and testing for fraud detection models, utilizing statistical analysis, data validation, and model performance evaluation techniques. - Performing rigorous validation assessments for fraud model validation, developing and implementing validation methodologies to ensure model accuracy, robustness, and effectiveness. - Ensuring compliance with regulatory requirements and industry best practices in fraud detection and model validation. - Working with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. - Identifying and compiling data sets using tools like Hive and SQL to help predict, improve, and measure the success of key business outcomes. - Documenting data requirements, data collection/processing/cleaning, and exploratory data analysis, potentially utilizing statistical models/algorithms and data visualization techniques. Qualifications required for this role include: - 3+ years of hands-on analytical experience - 2+ years of experience in statistical analysis with working knowledge of statistical software packages like Python (Must), Hive, Spark, SAS - Strong quantitative, analytical, and problem-solving skills, with knowledge of probability theory, statistics, mathematical finance, econometrics, and numerical methods - Understanding of statistical concepts, modeling techniques, and Model Implementation concepts, including traditional and advanced ML algorithms - Proficiency in statistical analysis and model validation techniques, with expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc. - Familiarity with regulatory requirements and guidelines related to risk model validation - Strong communication and interpersonal skills, along with experience in Stakeholder management - Ability to work independently, with a risk and control mindset, and handle large volumes of transactional data Education required: - Masters/Bachelors degree in Statistics, Economics, Finance, Mathematics, or a related quantitative field; Engineering/MBA background from a premier institute If you are a person with a disability and need a reasonable accommodation to use Citis search tools and/or apply for a career opportunity, you can review Accessibility at Citi. Citi values diversity as a key business imperative and strives to foster a culture where the best people want to work, where individuals are promoted based on merit, and where opportunities for development are widely available to all.,

You will be working as an Analyst in Investment Research at AGR Knowledge Services Pvt. Ltd, a company specializing in Research and Consulting for global clients in various industries. Your primary responsibility will be to handle assignments for global financial services clients, including asset managers, PE/VC funds, family offices, investment banks, and corporate M&A teams. Some of the deliverables you may work on include equity/credit research reports, financial models, business valuation, due diligence, pitch books/information memorandums, and macro/sector/markets analysis. Your key responsibilities will include: - Handling various assignments for global financial services clients - Working on diverse projects covering different asset classes and geographies - Understanding client needs, scoping out project requirements, executing projects with minimal supervision, engaging with clients regularly, and presenting deliverables To excel in this role, you will need: - Relevant research and analysis experience in equity/credit/corporate finance and advisory - Excellent analytical and communication skills - Skills in financial modeling and valuation methods like DCF, SOTP, IRR, and trading and transaction comparable - Ability to perform in-depth analysis of companies/sectors/markets - Proficiency in MS Excel, Word, and PowerPoint In addition to technical skills, the following personal attributes are desired: - Ability to work against tight deadlines - Ability to work on unstructured projects independently - Expertise or great comfort with numbers - Working knowledge of various statistical tools - Foreign language proficiency - Experience in research & analytics and proficient knowledge of financial markets - High learning agility and skills in receiving and giving feedback - High level of focus, objective alignment, and emotional resilience If you are a passionate individual with an MBA in Finance and 2-4 years of relevant experience, this role based in Mumbai (Hybrid) could be a great fit for you. Don't miss this opportunity to join a dynamic team and contribute to the growth story of AGR Knowledge Services Pvt. Ltd. For more information, you can visit their website at www.agrknowledge.com or reach out to them at careers@agrknowledge.com.,