9 Statistical Finance Jobs nearby Mumbai

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. ResponsibilitiesIdentify valuable data sources and automate collection processesUndertake preprocessing of structured and unstructured dataAnalyze large amounts of information to discover trends and patternsBuild predictive models and machine-learning algorithmsCombine models through ensemble modelingPresent information using data visualization techniquesPropose solutions and strategies to business challengesCollaborate with engineering and product development teams Other DetailsSalary-41,000/- to 75,000/-Required Experience-0 To 4 YearsMinimum Age-18 RequirementsQualification Required-BCA,MCA,BBA.MBA,PHD,PGDM,All GraduateBachelors degree (or equivalent) in statistics, applied mathematics, or related disciplineWork Department-Data ScientistWork Industry-IT,Automation,Banking,Finance,Education,Telecom,Skills-Proficiency with data mining, mathematics, and statistical analysisfor more clarification contact to this number-7428595632 Also Share Your CV -renuka.mns53@gmail.com RegardsHR Placement Team

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

we rely on insightful data to power our systems and solutions. Were seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the datas full potential. As part of a team of specialists, the data scientist will slice and dice data using various methods and create new visions for the future. ResponsibilitiesGather data from multiple sources and prepare it for analysis.Analyze large volumes of structured and unstructured data to identify trends and patterns.Develop machine learning models and predictive algorithms to solve business problems.Use statistical techniques to validate findings and ensure accuracy.Automate processes using AI tools and programming.Create clear, engaging visualizations and reports to communicate results.Work closely with different teams to apply data-driven insights.Stay updated with the latest tools, technologies, and methods in data science. Other DetailsSalary-41,000/- to 75,000/-Required Experience-0 To 4 YearsMinimum Age-18 RequirementsQualification Required-BCA,MCA,BBA.MBA,PHD,PGDM,All GraduateBachelors degree (or equivalent) in statistics, applied mathematics, or related disciplineWork Department-Data ScientistWork Industry-IT,Automation,Banking,Finance,Education,Telecom,Skills-Proficiency with data mining, mathematics, and statistical analysisfor more clarification contact to this number-9311875012 Also Share Your CV -   RegardsHR Placement Team

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.

We are looking for a reliable Manager of Quality Assurance to ensure that all external and internal requirements are met before our product reaches our customers. You will be responsible for inspecting procedures and outputs and identifying mistakes or non-conformity issues. An excellent Quality Assurance Manager has eyes like a hawk and solid experience in quality control. The ideal candidate is a reliable and competent professional whose approval will be necessary for the continuation of a business life cycle. The goal is to assure the high quality of our operations and services aiming to the long-term success of our business. Responsibilities Devise procedures to inspect and report quality issues Monitor all operations that affect quality Supervise and guide inspectors, technicians and other staff Assure the reliability and consistency of production by checking processes and final output Appraise customers requirements and make sure they are satisfied Report all malfunctions to production executives to ensure immediate action Facilitate proactive solutions by collecting and analyzing quality data Review current standards and policies Keep records of quality reports, statistical reviews and relevant documentation Ensure all legal standards are met Communicate with external quality assurance officers during on-site inspections

We are looking for a passionate political analyst to conduct research on political ideas and analyze government policies, political trends and related issues. As a political analyst you should be able to study the development of political systems, research various political subjects and collect and analyze data. Ultimately, you should be able to predict political, social and economic trends, evaluate cultures, values and political ideologies and present unbiased reports. Responsibilities Research political subjects such as foreign relations and political ideologies Collect data from sources such as public opinion surveys and election results Use statistical analysis to interpret research findings Develop political theories based on research and historical documents Forecast political, economic and social trends Present research results by writing reports, giving presentations and publishing articles Evaluate the effects of policies and laws on government, businesses and people Monitor current events, policy decisions and legislation changes Stay up-to-date with international trends and developments Raise public awareness of important political and social issues Establish contacts and sources to use in future research

As a Research Analyst at our company, you will be responsible for conducting market research, analyzing financial data, monitoring investment performance, and providing actionable insights to support strategic investment decisions. Key Responsibilities: - Conduct fundamental and technical analysis of stocks, mutual funds, and other investment instruments. - Prepare detailed equity research reports, forecasts, and financial models. - Track market trends, company news, macroeconomic indicators, and sectoral developments. - Evaluate portfolio performance and recommend adjustments based on market movements. - Support fund managers in developing investment strategies and asset allocation decisions. - Prepare investment presentations and reports for internal stakeholders and clients. - Use statistical tools and financial models to assess risk, returns, and valuations. - Stay updated with SEBI regulations, market announcements, and global financial news impacting investments. Required Skills & Qualifications: - Bachelors or Masters degree in Finance, Economics, Commerce, or related fields. - 3-5 years of experience in equity research, portfolio management, or fund analysis. - Strong understanding of financial statements, valuation models (DCF, PE, EV/EBITDA, etc.), and investment metrics. - Proficiency in Excel, Bloomberg, Capital IQ, or similar research tools. - Knowledge of technical indicators, charting tools, and trading platforms. - Strong command of financial modeling and quantitative analysis. - Excellent written and verbal communication skills.,

As a candidate for this role, you will be responsible for the following key activities: - Leading Improvement Projects: You will be executing and leading small to medium-scale improvement projects within your department using Lean Six Sigma methodologies, particularly the DMAIC (Define, Measure, Analyze, Improve, Control) model. - Data Collection and Analysis: Your tasks will include collecting, analyzing, and interpreting data using statistical tools (like Minitab) to identify the root causes of process inefficiencies, quality problems, and variations. - Process Mapping and Documentation: You will create process maps (such as SIPOC diagrams) and flowcharts to visualize current processes, identify areas for improvement, and document project activities, findings, and solutions. - Collaboration: Your role involves assisting Black Belts on larger, more complex, cross-functional projects and collaborating with various stakeholders across different departments (Operations, Finance, Supply Chain, IT, etc.) to ensure seamless implementation of changes. - Implementing Solutions and Control: You will be developing and implementing solutions to reduce waste, improve efficiency, and enhance quality. Additionally, you will establish control plans and metrics to ensure that improvements are sustained over time. - Mentoring and Training: Providing coaching and mentoring to Yellow Belts and other team members on Six Sigma tools and techniques will be part of your responsibilities to foster a culture of continuous improvement within the organization. Furthermore, you will be required to update progress on projects and present formal reports and insights to senior stakeholders and management frequently.,

Role Overview: As a Quantitative Analyst at 5paisa Capital Ltd., you will leverage your analytical and programming skills to support the writing, testing, and optimization of trading strategies. You will also be responsible for cleaning and storing large datasets, creating, testing, and implementing risk and trading models. Collaboration with cross-functional teams to troubleshoot, document, and implement data-driven solutions that enhance the efficiency of trading and investment strategies is a key aspect of your role. Responsibilities: - API Development & Testing: - Maintain RESTful APIs for algo trading platforms and ensure seamless integration with trading systems. - Conduct thorough testing of APIs to ensure compliance with infosec best practices. - Troubleshoot and resolve any issues related to API performance and functionality. - Algorithmic Trading Strategies: - Develop and backtest algorithmic trading strategies using advanced quantitative models and historical data. - Continuously monitor the performance of live trading strategies and enhance existing strategies based on performance. - Document and present trading strategies and algorithms effectively. Qualifications: Education: - Bachelors in engineering, maths, or physics is required. - An MBA is considered a plus but not mandatory. Experience: - 1-2 years of experience in any tech-related job is preferred. - Experience in Data Science/Engineering is an added advantage. Skills: - Proficiency in Python is a must. Knowledge of MATLAB, R, and functional programming languages is a plus. Competencies: - Analytical Skills: Ability to work with large datasets and develop strategies based on statistical analysis and market behavior. - Python Programming Expertise: Strong skills in building and maintaining APIs, data pipelines, and trading systems. - Problem-Solving: Capable of troubleshooting complex systems and optimizing strategies in real-time. - Communication: Clear ability to explain technical concepts to non-technical teams such as traders and risk managers. - Adaptability: Comfortable working in a fast-paced, dynamic environment with changing market conditions and strategy requirements. Innovative Culture: Join 5paisa Capital Ltd. and be part of a company that is driving innovation in the fintech industry. Your role as a Quantitative Analyst will contribute to the ongoing transformation of how individuals manage and access their finances. Tech-Driven Solutions: You will work on tasks that not only challenge your skills but also contribute to improving tech productivity, efficiency, and customer experience within the organization. Professional Growth: 5paisa values your growth and encourages you to take on challenges, learn, and develop your skills. Join a team that prioritizes your professional development.,

As a Strategic Operations Manager at Amherst Residential, you will play a crucial role in driving strategic planning and operational initiatives aligned with real estate business objectives. Your responsibilities will include: - Building, maintaining, and refining financial models to support investment decisions, rental performance analysis, forecasting, and overall portfolio performance. - Analyzing large volumes of property and market data using SQL and Excel to identify trends, risks, and opportunities. - Developing business case models to assess rental yield, asset performance, and value-add opportunities. - Providing data-driven insights to support key functions such as acquisitions, leasing, and operations. - Creating executive-level reports, dashboards, and visualizations to effectively communicate insights to leadership. - Monitoring and analyzing key performance indicators (KPIs) across the property portfolio to inform strategic decisions and operational improvements. - Collaborating cross-functionally with finance, asset management, and operations teams to drive high-impact strategic projects. - Adapting quickly to changing business needs, managing ad-hoc analysis and reporting requirements with agility. - Presenting clear, concise, and actionable recommendations to senior stakeholders to support data-informed decision-making. Qualifications required for this role include: - Masters and Bachelors degree from Tier 1 colleges preferred. - 5+ years in data science or modeling, preferably in real estate. - Proficiency in Python, R, and visualization tools (e.g., Tableau, Power BI). - Knowledge of statistical modeling and machine learning. - Demonstrated interest in real estate/SFR through experience or studies. - Strong analytical and communication skills. - Strong work ethic with a proactive, results-driven mindset. - Engaging personality with curiosity and creative problem-solving skills. Additionally, the role may involve working in a fast-paced, multitasking environment with the ability to adapt quickly to changing business needs. If you are passionate about real estate, have a solid financial background, and enjoy working with data to drive business growth and decision-making, this opportunity at Amherst Residential might be the perfect fit for you.,

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.,