37 Quantitative Modeling Jobs

Job Description #KGS Roles & Responsibilities Model validation/audit/review primarily for one or more credit loss forecasting models in either retail or wholesale domain primarily for IFRS9/IRB models including PD/EAD/LGD component models. Validation process involves understanding of the relevant regulatory requirements, development document, testing and benchmarking as well as development of challenger models using SAS, R or Python and report writing. Assist with other model validation/audit/review activities in Underwriting scorecard, Credit Scoring, behavioral models, economic scenario models or automation activities related to validation when required Model validation including assessing conceptual soundness, critical assessment of the testing performed by the model developers to support the integrity and accuracy of the model implementation and its fit-for-purpose, designing to evaluate the models predictive power and its robustness uncertainty through the development and use of alternative benchmark models and compliance assessment against the relevant regulatory standards Proactively work with seniors, AM and Managers for key deliverables in line with Project requirement Responsible for key deliverables and engage with Partners/Directors to understand the project scope, business requirements and work with onshore and offshore teams to do successful delivery Advising non audit clients on the impact of changing requirements in provision accounting standards (IFRS9) and helping clients validate or build credit risk measurement models. Responsibilities Job Description #KGS Roles & responsibilities Conduct model validation, audit, and review primarily for credit loss forecasting models in the retail or wholesale domain, specifically for IFRS9/IRB models, including PD/EAD/LGD components. The validation process includes comprehending relevant regulatory requirements, reviewing development documentation, conducting tests and benchmarking, as well as creating challenger models using SAS, R, or Python, and compiling reports. Provide assistance with other model validation, audit, and review tasks as needed, such as Underwriting scorecards, Credit Scoring, behavioral models, economic scenario models, or validation-related automation activities. Perform model validation by assessing conceptual soundness, critically evaluating the testing conducted by developers to ensure the model&aposs integrity and accuracy, and determining its suitability. Design evaluations to test the model&aposs predictive power and robustness under uncertainty, develop alternative benchmark models, and ensure compliance with regulatory standards. Collaborate proactively with seniors, AMs, and Managers to meet key project deliverables. Take responsibility for key deliverables, engage with Partners/Directors to comprehend project scope and business requirements, and coordinate with onshore and offshore teams for successful delivery. Advise non-audit clients on the implications of evolving provision accounting standards (IFRS9) and assist them in validating or developing credit risk measurement models. Qualifications #KGS Required Skills Educational Qualifications An advanced degree in Mathematics, Statistics, Economics, or other analytical disciplines. A graduate degree plus an MBA in Finance, coupled with relevant experience or exposure. Additional certifications such as FRM or CFA are preferred. Work Qualifications Total Experience: Preferred candidates will have 2-12 years of experience in Risk Management/Analytics at major banks, top tier consulting firms like Big 4 or captives of well known banks. Proficient in programming languages: Python, SAS, and R. Advanced skills in statistical and quantitative modeling, including linear regression, logistic regression, ARIMA, Markov Chain, Merton Model, CHAID, and other predictive modeling techniques. In-depth knowledge of regulatory requirements pertaining to model risk management, such as SR11-7, SR15-18, PRA, and EBA guidelines. Show more Show less

You will join ARM Data Science Non-Price Predictive Modeling as a Data Scientist, where you will play a crucial role in applying advanced predictive modeling and analytical analysis to solve complex business problems within the insurance industry. Your responsibilities will include collaborating with various business partners, researching and implementing new statistical methodologies, managing multiple projects, and delivering actionable insights to drive strategic decision-making. To succeed in this role, you should have a Bachelor's degree or higher in Mathematics, Economics, Statistics, or a related quantitative field, along with 2 to 4 years of relevant work experience. You must possess advanced analytical and problem-solving skills, be proficient in predictive analytics, and have experience with languages like R, Python, or SAS for data analysis. Familiarity with statistical techniques such as generalized linear models, survival models, and random forests is essential. In addition to technical skills, strong communication abilities are key in this role. You will be expected to effectively present your findings, share insights, and make recommendations to both technical and non-technical audiences. Knowledge of insurance principles and experience with enterprise-scale database systems are also advantageous for this position. If you are a highly motivated individual with a passion for data-driven decision-making and a desire to make a significant impact in a dynamic industry, we encourage you to apply for this exciting opportunity.,

As a People Analytics Manager at our company, you will have the opportunity to shape and lead the People Analytics function within the People Success team. Reporting directly to the Chief People Officer (CPO), you will collaborate closely with team members to deliver forward-thinking and data-driven insights to support business leaders in making informed decisions regarding the workforce. Your primary responsibilities will include driving business outcomes through proactive and innovative people forecasting, developing quantitative models, and delivering insightful presentations to the CPO. You will transform discussions with the CPO into user-friendly data tools accessible to both technical and non-technical stakeholders. Additionally, you will be tasked with evolving core reporting tools in Workday and Tableau, utilizing Discovery Boards, Dashboards, and tailored presentations to provide updates and insights on recruitment and retention efforts. To excel in this role, you must possess advanced technical skills, including proficiency in Workday reporting and Tableau mastery. Your role will involve maintaining model and system documentation, ensuring data integrity, and conducting ad-hoc analysis to support problem-solving. Furthermore, you will manage centralized recruiting-related survey distribution and reporting, leveraging tools such as Excel, PowerPoint, and data visualization software to analyze and present key business insights to stakeholders. The ideal candidate for this position will have at least 4 years of experience in a cross-functional role at a management consulting firm, technology company, or in an analytically oriented environment. A bachelor's degree in a related field or equivalent work experience is required. Proficiency in Excel and data management, as well as experience with Tableau, SQL, SAS, R, SPSS, and programming, is essential. Strong analytical skills, exceptional project management abilities, and the capacity to develop and deliver insightful presentations to senior audiences are also vital for success in this role. If you are a detail-oriented individual with a passion for data analysis, storytelling, and driving strategic insights, we encourage you to apply for this exciting opportunity to lead our People Analytics function and contribute to the success of our organization.,

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: As Manager, Stress Testing Oversight within our Global Risk Organization, you will lead the design, implementation, and ongoing enhancement of the PayPal Europe stress testing framework in accordance with ECB, EBA, and local regulatory requirements. You will drive the strategic direction for stress testing activities across material risk types, ensuring effective coordination across business teams and robust delivery of regulatory, internal, and ad hoc stress tests. Your work will provide critical insights to senior management, informing strategic direction, risk appetite, capital planning, and supervisory communications. Job Description: Key Responsibilities Define the specifications and methodology for the stress testing program, ensuring alignment with ECB and other applicable EU regulatory requirements, in particular for systemically important institutions. Lead the coordination and definition of key stress testing assumptions (macro, idiosyncratic, and reverse stress scenarios) with internal stakeholders and expert teams across risk, finance, and business lines. Oversee and ensure the ongoing adequacy, calibration, and fit-for-purpose operation of stress testing models and engines. Interpret, review, and document all stress test results, including the rationale for key assumptions and their impacts on capital, liquidity, and solvency positions. Present stress testing methodology and outcomes to senior management, risk committees, and regulatory bodies (ECB, CSSF) as required, articulating material risks and model limitations in a clear and concise manner. Maintain up-to-date documentation and process control for all elements of the stress testing lifecycle, including scenario selection, data inputs, model parameters, and reporting outputs. Monitor market and regulatory developments, proactively enhancing the stress testing framework to ensure best-in-class standards and ongoing regulatory compliance (ECB Guide on ICAAP/ILAAP, EBA Guidelines, CRR). Assist with the integration of stress testing outcomes into risk appetite, capital planning, recovery planning, and other strategic processes (e.g., ICAAP/ILAAP, SREP submissions). Support ad hoc regulatory data requests, internal reviews, audits, and examinations related to stress testing frameworks and outcomes. Ideally, you would have 7+ years of experience in stress testing, risk management, or quantitative analytics within a regulated EU/EEA banking environment, ideally with direct exposure to ECB SSM supervision. Proven track record in leading or coordinating stress testing or capital planning projects Hands-on experience with quantitative modeling and scenario design. Master's degree in finance, economics, quantitative discipline, or related field professional certification (CFA, FRM, PRM, CQF) advantageous. Strong analytical skills and attention to detail, with outstanding verbal and written communication abilities. Capacity to interpret complex technical results for diverse audiences up to senior executive and regulator level. Proven experience working in a fast-paced, international environment, managing multiple stakeholders and deadlines. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit . For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit . Who We Are: to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

As a Business Analyst focusing on bullion trading and treasury operations at our organization, you will be responsible for supporting the design, implementation, and optimization of a bullion trading system. Your expertise in commodities trading, financial markets, and treasury management will play a crucial role in analyzing trading workflows, risk management, and financial compliance. Your key responsibilities will include working closely with traders, treasury teams, and financial stakeholders to gather, analyze, and document business requirements for a bullion trading platform. You will define business rules, trading workflows, pricing mechanisms, and settlement processes. Additionally, you will collaborate with technology teams to design and implement trading system features, risk management tools, and treasury integrations. Ensuring seamless integration of bullion trading functionalities, compliance with regulations, and proposing process improvements will be essential parts of your role. Furthermore, you will be involved in designing and implementing business intelligence dashboards, trade reconciliation reports, and P&L analysis tools. Your ability to track market trends, bullion price movements, and liquidity conditions will provide actionable insights to traders and treasury teams. Acting as a liaison between various stakeholders and optimizing treasury processes will also be part of your responsibilities. To succeed in this role, you should have at least 5 years of experience as a Business Analyst in bullion trading, commodities trading, or treasury operations. A strong understanding of precious metals markets, trading strategies, pricing mechanisms, and treasury functions is required. Proficiency in business analysis tools, knowledge of financial regulations, and experience with trading platforms and risk management systems are crucial. Strong analytical, problem-solving, and communication skills are essential, and certifications such as CBAP, CFA, FRM, or CTP would be advantageous. Preferred experience includes working with precious metals exchanges, bullion banks, or fintech firms specializing in commodities trading, exposure to blockchain-based bullion trading, and knowledge of automated trading algorithms and quantitative modeling.,

The purpose of this role is to set the strategic direction for the team, taking ownership of the overall Insights and analysis discipline in the market and liaising with other channels to ensure an integrated response to people-based marketing objectives. Job Description: Job Description Summary We are seeking an experienced Advanced Analytics Senior Manager to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background, a passion for transforming complex data into actionable insights, an extensive experience into leading mid-to-large sized teams, and the ability to create, assess and implement RFPs, POCs, approaches and frameworks. Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelors or Masters degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 10+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. Location: Coimbatore Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Goldman Sachs Strats is a world leader in developing quantitative models and technologies to solve complex business problems across various divisions such as trading, sales, banking, and asset management. As an Investment Banking Strat, you will utilize your mathematical and scientific training to create financial products, advise clients on transactions, measure risk, and identify market opportunities. You will be involved in marketing, structuring, pricing, and executing transactions for large corporations and institutions in the capital markets and M&A. As part of the Investment Banking M&A Quant Advisory team in Bengaluru, you will work on solving business problems using large and complex financial datasets, collaborating with Investment Bankers in different industries and regions. You will develop innovative client analytics for M&A deals, utilize machine learning and big data analysis tools, and create proprietary targeting solutions. Key Responsibilities: - Develop quantitative and analytical methods for targeting new transaction opportunities. - Provide solutions for internal and external clients, covering deal performance analysis, competitor analysis, and deal execution strategy. - Create tools to make data and analytics accessible to internal users. - Program in Python or other languages using machine learning and statistical methods. - Curate datasets from multiple vendors to serve analytics and business purposes. - Generate reports, analyses, and alerts for internal management, business monitoring, risk management, and opportunity targeting. Basic Qualifications & Skills: - Bachelors or advanced degree in a quantitative/STEM discipline. - 2+ years of quantitative modeling and development experience. - Strong analytical and problem-solving abilities. - Proficient in Python and data querying languages like SQL and MongoDB. - Excellent oral and written communication skills. - Strong interest in finance, investment banking, and capital markets. - Results-oriented work ethic and ability to work in a team. Preferred Qualifications: - Experience in M&A and/or Capital Markets. Goldman Sachs is committed to fostering diversity and inclusion in the workplace, providing growth opportunities for individuals, and offering various benefits and programs. If you require accommodations during the recruiting process, please learn more about our disability statement on our website. Join us at Goldman Sachs to be part of a leading global investment banking firm dedicated to client success and professional development.,

The role involves performing competitive market research, creating excel-driven quantitative models and business assumptions, and utilizing quantitative and qualitative market research. Secondary research is conducted to identify data points such as production and consumption of product commodities. Primary research is undertaken to generate insights into current market trends and forecasting with key opinion leaders. Data analytics techniques are used for trend analysis, data validation, and triangulation. Various sources and technologies are utilized to create high-quality prospect contact lists for integrated marketing campaigns. Company profiling involves analyzing market share, product portfolio, new launches, product recalls, and mergers & acquisitions. Data collected from primary, secondary sources, and databases is collected and analyzed to track marketing and sales trends, estimate market size, and forecast market trends. Reports of findings are prepared, illustrating data graphically and translating complex findings into written text. Additionally, the role may involve performing any other reasonable duties required by management from time to time.,

Support investment portfolio reporting and quantitative analyses for a leading alternative asset manager. Develop and improve workflow efficiency through automation. Assist with development, calibration, prototyping, and documentation of risk models. Assist with preparation of materials for client and senior management. Assist with development of a robust risk management framework and analytics across portfolios. Analyze time series data to identify and report any trends or errors/exceptions, using quantitative techniques and machine learning models. Help foster a culture of risk awareness in partnership with other stakeholders. Keep up to date with topical issues in risk management. Key Skills: Experienced in data science, machine learning, and quantitative modeling. Proficient in programming languages like Python, SQL, and libraries like Pandas, Numpy, Matplotlib. Experienced in AWS/Amazon SageMaker and frameworks like TensorFlow. Has a commanding grasp on Excel and basic knowledge of BI tools like Tableau/Sigma Computing. Has experience with risk analytic platforms (e.g., FactSet, Risk Metrics, Bloomberg). Quantitative background such as Mathematics, Mathematical Finance, Econometrics, Data Science, and Statistics. Understanding of different alternative asset classes and instruments, with a strong knowledge of fixed income securities and their characteristics. Preferred qualification: CFA, FRM, CQF, or a PG degree in finance. Ability to work independently and thrive in a team-oriented environment. Comfortable taking initiative and being resourceful. Rich experience working in an investment risk, data science-related role preferred.

You will be responsible for conducting model validation, audit, and review primarily for credit loss forecasting models in the retail or wholesale domain, specifically for IFRS9/IRB models, including PD/EAD/LGD components. Your role will involve comprehending relevant regulatory requirements, reviewing development documentation, conducting tests and benchmarking, as well as creating challenger models using SAS, R, or Python, and compiling reports. Additionally, you will provide assistance with other model validation, audit, and review tasks as needed, such as Underwriting scorecards, Credit Scoring, behavioral models, economic scenario models, or validation-related automation activities. Your responsibilities will include performing model validation by assessing conceptual soundness, critically evaluating the testing conducted by developers to ensure the model's integrity and accuracy, and determining its suitability. You will design evaluations to test the model's predictive power and robustness under uncertainty, develop alternative benchmark models, and ensure compliance with regulatory standards. Collaboration and proactive engagement with seniors, AMs, and Managers will be essential to meet key project deliverables. You will take responsibility for key deliverables, engage with Partners/Directors to comprehend project scope and business requirements, and coordinate with onshore and offshore teams for successful delivery. Additionally, you will advise non-audit clients on the implications of evolving provision accounting standards (IFRS9) and assist them in validating or developing credit risk measurement models. Qualifications required for this role include an advanced degree in Mathematics, Statistics, Economics, or other analytical disciplines. A graduate degree plus an MBA in Finance, coupled with relevant experience or exposure, is also considered. Additional certifications such as FRM or CFA are preferred. Preferred candidates will have 2-12 years of experience in Risk Management/Analytics at major banks, top tier consulting firms like Big 4, or captives of well-known banks. Proficiency in programming languages such as Python, SAS, and R is required. Advanced skills in statistical and quantitative modeling, including linear regression, logistic regression, ARIMA, Markov Chain, Merton Model, CHAID, and other predictive modeling techniques are essential. In-depth knowledge of regulatory requirements pertaining to model risk management, such as SR11-7, SR15-18, PRA, and EBA guidelines, is also expected.,

As part of Goldman Sachs Asset and Wealth Management (AWM), you will have the opportunity to provide asset management, wealth management, and banking expertise to a diverse range of consumers and institutions globally. Collaborating with various teams within the firm, you will play a crucial role in assisting individuals and institutions in navigating changing markets and taking control of their financial lives. The Fixed Income and Liquidity Solutions team, a part of AWM, offers a comprehensive suite of global products tailored to deliver fixed income and money market portfolio solutions. You will work with a wide array of clients, including pension funds, endowments, foundations, financial institutions, insurers, and high net worth individuals. Focusing on investing and advising across various sectors of the fixed income market, from traditional to more specialized products, your contributions will directly impact clients" financial objectives. As a quantitative engineering strategist within Goldman Sachs Asset Management, you will be at the forefront of the business, utilizing analytical methods to solve real-world challenges. Your collaboration with portfolio managers across different asset classes will provide valuable quantitative insights that drive business and investment decisions. Your proficiency in mathematics, programming, and logical thinking will be instrumental in developing quantitative models that contribute to our success. Your responsibilities will involve closely working with portfolio managers to create quantitative models and tools for portfolio management processes, developing sustainable production systems adaptable to a fast-paced environment, and utilizing advanced statistical techniques to enhance portfolio construction and performance. Additionally, you will be tasked with implementing mathematical models in production-quality software and creating rigorous data management tools to support the investment process. To excel in this role, you should possess a background in a quantitative discipline such as mathematics, engineering, physics, or computer science, with a preference for Masters or PhD qualifications. Experience in municipal and corporate credit markets is advantageous, along with strong mathematical and analytical skills. Proficiency in at least one programming language, a proven track record in software development, excellent communication skills, and the ability to innovate solutions to commercial challenges are essential qualities. Joining the Goldman Sachs engineering culture means being part of a team that strives to make things not just happen but also possible. Engage in solving complex engineering problems, connecting people and capital with innovative ideas, and transforming data into actionable insights through cutting-edge software and systems. Embrace the dynamic environment that demands innovative strategic thinking and offers opportunities to push the boundaries of digital possibilities. Goldman Sachs is committed to leveraging the diversity of its workforce to drive growth and success for its clients, shareholders, and communities globally. By fostering a culture of inclusion, providing professional development opportunities, and supporting personal well-being, the firm aims to empower individuals to reach their full potential. Explore the world of finance, innovation, and opportunity with Goldman Sachs, where your unique skills and perspective can make a meaningful impact.,

As part of the IDRCL team within the BAD BANK project, you will be involved in the resolution of legacy bad loans amounting to ~INR 2 trillion in the Indian banking system. IDRCL operates as an Asset Reconstruction Company (ARC) and Debt Resolution Company in a principal-agent relationship, supported by major scheduled commercial banks. As a public limited company primarily owned by private banks, your responsibilities will include: - Conducting detailed financial analysis, creating financial models in Excel, performing IRR calculations, and preparing investment committee memos/presentations. - Collaborating with bankers and consultants to facilitate structuring, due diligence, negotiation, and preparation of the resolution plan. - Working with consultants/companies to execute the approved resolution plan endorsed by the Board. - Conducting primary and secondary research on sectors/industries to gather data on industry and competitor dynamics, staying updated with industry developments. - Compiling periodic review reports of existing portfolio companies for management review. - Assisting the Resolution Manager in engaging with stakeholders to implement approved resolution and recovery strategies. - Performing scenario analysis in ongoing resolution plans. - Creating teasers, dockets, and presentations for the Board, Investment committee, and potential investors. Functional and behavioral requirements for this role include: - Strong problem-solving and analytical skills. - Proficiency in Excel-based financial modeling, projections, and concise PowerPoint presentations. - Ability to analyze due diligence reports, financial statements, and envision various scenarios translated into quantitative models. - Enthusiastic, taking ownership of work with a professional approach. - Basic understanding of large ticket financing and the bank lending ecosystem in India. Qualifications for this position include a CA/CFA/MBA (Finance) with a minimum of 3 years of experience in financial advisory services.,

Goldman Sachs Strats business unit is a world leader in developing quantitative models and technologies to solve complex business problems. Working within the firm's trading, sales, banking, and investment management divisions, strats use their mathematical and scientific training to create financial products, advise clients on transactions, measure risk, and identify market opportunities. As a FICC CVA Strat within the firm's Global Markets Division, you will collaborate with IRP, GCEM, and Commodity CVA trading desks globally to enhance CVA models and refine the risk management framework. Your role involves developing cutting-edge CVA pricing and risk models, working closely with global CVA traders, and implementing risk management infrastructure to monitor and manage risk effectively. Additionally, you will assist in optimizing capital footprint and enhancing counterparty credit risk monitoring and management framework in light of industry regulations. Your responsibilities include building and enhancing CVA quantitative models, pricing, risk management, and workflow infrastructure for the FICC CVA & Funding trading business. You will conduct systematic and quantitative analysis of risk, pricing, and PNL metrics across various FICC CVA & Funding products, support trading desk activities, analyze trade ideas and hedging strategies, and contribute to cross-business initiatives such as capital optimization and regulatory changes. The ideal candidate for this role possesses strong quantitative and technical problem-solving skills, a drive to explore new ideas, and the ability to deliver quick yet robust solutions. Strong academic background in a relevant STEM field, proficiency in programming languages like Java, C++, Python, excellent interpersonal and communication skills, attention to detail, and the ability to work in a dynamic environment are essential qualifications. If you are passionate about financial markets, financial modeling, and have a quantitative understanding of probability, this opportunity at Goldman Sachs may be the perfect fit for you. Join us in our commitment to fostering diversity and inclusion, providing growth opportunities, and supporting professional and personal development for every individual within our firm. Goldman Sachs is dedicated to accommodating candidates with special needs or disabilities during the recruiting process. To learn more about our culture, benefits, and career opportunities, visit GS.com/careers.,

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. Responsibilities Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitabilityMonitor and update credit policy to optimize for company risk, profitability, and growth targetsPropose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into productionMonitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysisConduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitabilityDevelop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysis Support the marketing and product team with their data needs QualificationsFluency in SQL and R/Python Previous experience in analytics and/or quantitative modeling, using large datasetsExperience analyzing, visualizing and communicating impactful insights to management, investors and/or auditors Strong strategic thinking and problem-solving skills2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industryEnthusiasm for working across cultures, functions and time zones

Job DescriptionYou will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. Responsibilities Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitabilityMonitor and update credit policy to optimize for company risk, profitability, and growth targetsPropose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into production Monitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysis Conduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitability Develop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysis Support the marketing and product team with their data needs Qualifications Fluency in SQL and R/Python Previous experience in analytics and/or quantitative modeling, using large datasets Experience analyzing, visualizing and communicating impactful insights to management, investors and/or auditorsStrong strategic thinking and problem-solving skills 2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industryEnthusiasm for working across cultures, functions and time zones

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. Responsibilities Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitability Monitor and update credit policy to optimize for company risk, profitability, and growth targets Propose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into productionMonitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysisConduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitability Develop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysis Support the marketing and product team with their data needs Qualifications Fluency in SQL and R/Python Previous experience in analytics and/or quantitative modeling, using large datasets Experience analyzing, visualizing and communicating impactful insights to management, investors and/or auditors Strong strategic thinking and problem-solving skills 2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industry Enthusiasm for working across cultures, functions and time zones

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. Responsibilities Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitability Monitor and update credit policy to optimize for company risk, profitability, and growth targets Propose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into productionMonitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysisConduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitability Develop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysis Support the marketing and product team with their data needs Qualifications Fluency in SQL and R/Python Previous experience in analytics and/or quantitative modeling, using large datasets Experience analyzing, visualizing and communicating impactful insights to management, investors and/or auditors Strong strategic thinking and problem-solving skills 2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industry Enthusiasm for working across cultures, functions and time zones

Responsibilities Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitability Monitor and update credit policy to optimize for company risk, profitability, and growth targets Propose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into production Monitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysis Conduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitability Develop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysis Support the marketing and product team with their data needs QualificationsFluency in SQL and R/Python Previous experience in analytics and/or quantitative modeling, using large datasets Experience analyzing, visualizing and communicating impactful insights to management, investors and/or auditorsStrong strategic thinking and problem-solving skills 2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industry Enthusiasm for working across cultures, functions and time zones

We’re hiring a Quant Developer with 1+ years of experience in Python, trading systems, machine learning, and financial markets. Must have skills in MongoDB, Redis, APIs, Websockets, SSH tunneling & cloud computing. Good to have Stock market knowledge

Your Impact We are looking for a professional with quantitative skills to join the Emerging Markets Delta1 Trading Strat team to develop market making models to facilitate client flow and investment logic to manage the associated risk. The trading horizon of this activity is from intraday to weeks and requires understanding of quantitative modelling, client demand, macroeconomic environment and equities fundamentals. Global Markets Our core value is providing liquidity and building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers.We help our clients buy and sell financial products around the world. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a very motivated trading floor. Team Description The team is responsible for managing the quantitative aspects of EM ETF trading. We aim to solve for pricing, hedging, analytics using a data driven decision process and with a systematic and scalable approach. How You Will Fulfill Your Potential As a Delta1 Trading Strat, you will play an integral role in the business. You will work very closely with traders and liaise with different stakeholders. We run a flat structure, you will be exposed to the business from various angles, and you will be given lots of responsibility from day one. You will work on supporting and improving our pricing & risk management models. You will build a central risk book grounds up and improve execution stack thereby directly contribute to team PnL. Responsibilities & Qualifications Skills & Experience We're Looking For Qualifications Relevant market experience at a top sell-side/buy-side firm Quantitative background in computer science, electronic engineering, mathematics, physics, or another relevant field Advanced coding and software design skills Advanced knowledge of statistical analysis Ability to manage multiple stakeholders, demonstrating initiative and impact

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. Responsibilities: Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitability Monitor and update credit policy to optimize for company risk, profitability, and growth targets Propose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into production. Monitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysis Conduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitability Develop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysis Support the marketing and product team with their data needs. Qualifications - Fluency in SQL and R/Python. Previous experience in analytics and/or quantitative modeling, using large datasets Experience analyzing, visualizing and communicating impactful insights to management, investors and/or auditors Strong strategic thinking and problem-solving skills. 2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industry. Enthusiasm for working across cultures, functions and time zones.

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. Responsibilities Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitability Monitor and update credit policy to optimize for company risk, profitability, and growth targetsPropose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into production Monitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysis Conduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitability Develop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysis Support the marketing and product team with their data needs Qualifications Fluency in SQL and R/Python Previous experience in analytics and/or quantitative modeling, using large datasets Experience analyzing, visualizing and communicating impactful insights to management, investors and/or auditors Strong strategic thinking and problem-solving skills 2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industry Enthusiasm for working across cultures, functions and time zones

As a member of the Internal Audit Model Risk team, you will be responsible for the execution of audits related to model risk management . This requires effective time management and adherence to the department's internal audit methodology. You will support the project manager in defining and executing the audit scope through walkthroughs and discussions with various modeling and model validation teams. Furthermore, you will present and discuss audit findings with both local and global management within the firm. Specific Responsibilities Develop and maintain an in-depth technical knowledge of modeling encompassing both theory and coding. Critically review models , including their conceptual soundness, documentation, code implementation accuracy, and independent validation. Conduct meetings with stakeholders , including modelers and model validators. Execute risk-focused audits of modeling and model risk management. Engage in continuous monitoring of modeling and model risk areas. Communicate modeling problems and issues to senior management. Basic Qualifications Advanced Degree (preferably Master's) in a quantitative discipline (Math, Statistics, Economics, Physics, Engineering, Computer Science). 2-5 years of experience in model development, independent model validation, or model risk audit . Model risk management knowledge , including model risk governance, model development, implementation, testing and change management, and model validation. Team-oriented with a strong sense of ownership and accountability . Strong leadership, interpersonal, and relationship management skills . Strong verbal and written communication skills and presentation skills (PowerPoint, Visio, etc.). Highly motivated with the ability to multi-task and remain organized in a fast-paced environment. Preferred Qualifications Experience within the financial services industry is a plus . Knowledge of financial modeling concepts , including (any combination): Options pricing, credit default, structured products, econometrics, stress scenario creation. Any combination of risk management disciplines: credit risk, market risk, operational risk, funding/liquidity risk. Programming experience in quantitative and object-oriented languages .

Perform validation and approval of the firm's models by verifying conceptual soundness, methodology, and implementation, and by identifying limitations and uncertainties Assess and quantify model risk by developing alternative benchmark models Oversee monitoring of ongoing model performance Communicate validation outcomes to key stakeholders and management SKILLS AND RELEVANT EXPERIENCE Excellent quantitative problem solving skills Experience in stochastic modeling, numerical simulation, and data analysis Machine learning knowledge Good communication skills with the ability to explain complex problems in a simple way Eagerness and ability to learn new technologies and programming languages Excellent organizational skills Team orientation and ability to work in a fast paced environment

Were a team of specialists charged with managing the firm s funding, liquidity, capital and relationships with creditors and regulators. Corporate Treasury manages the firm s financial resources and minimizes interest expense through liability planning, asset liability management, and liquidity portfolio yield enhancement. The division is ideal for collaborative individuals who have strong quantitative analysis skills and risk management capabilities since Treasury actively manages the firm s financial resources which are constantly changing due to business activity, markets, risk appetite, regulations and other factors. OUR IMPACT Corporate Treasury plays a central role in the firm s overall strategy with responsibility for providing appropriate funding to support all firmwide activity while maximizing net interest income. The division raises funding and capital via public and private markets, allocates financial resources to facilitate client activity/ strategic initiatives, and dynamically manages the firm s asset-liability risk and liquidity portfolio. Corporate Treasury actively engages with public and private capital markets, ratings agencies, regulatory agencies, and internally with the firm s business lines. YOUR IMPACT Professionals in Corporate Treasury have an analytical mind set, exhibit intellectual curiosity and are from diverse academic backgrounds. We re looking for candidates who will thrive in a dynamic environment where attention-to-detail, multitasking and time management skills are essential. The division is ideal for collaborative individuals with strong quantitative skills, intellectual curiosity, and a commercial yet risk-conscious mindset. Working in the Corporate Treasury division, you will have exposure to all aspects of the firm, including new business activities and critical strategic programs. Strong communication and interpersonal skills are necessary to work successfully with internal and external stakeholders including leadership of the firm s business lines, its creditors, regulators and external counterparties. BUSINESS UNIT OVERVIEW Within Corporate Treasury, Resource Analytics (RA) is a unique opportunity for individuals at all levels to directly contribute to the development and execution of the firm s resource management strategy. Working closely with the Global Treasurer and other members of senior management, RA model and analyse the firm s balance sheet and funding plan across a range of market scenarios and time horizons. The team seeks to support the firm in optimizing its funding mix in a controlled, risk-conscious manner whilst supporting overall firm strategy. A key element to successfully executing this role is the development of meaningful partnerships with internal stakeholders within Corporate Treasury as well as business and Federation groups. JOB SUMMARY AND RESPONSBILITIES Develop and iteratively optimize the firm s funding liability strategy, considering cost, channel diversification, maturity concentration, and impact to key liquidity and capital metrics across baseline and designed stress scenarios Build and develop models, tools and analytical frameworks to enhance decision-making capabilities Conduct scenario analysis to help inform marginal liability management and resource allocation decisions based on liquidity availability, marginal costs, return profile, and franchise benefits Create presentations for discussion with the Board of Directors, senior management, regulators and other key stakeholders BASIC QUALIFICATIONS Highly-motivated, detail-oriented self-starter who is comfortable operating in a fast-paced environment and balancing multiple priorities Excellent analytical skills, with ability to formulate problems, test hypotheses, and condense complex problems into plain language Experience managing and interpreting large amounts of data, and analyzing the output to identify trends and present solutions through business intelligence tools such as Tableau Functional understanding of financial institution financial reports, Bank Holding Company (BHC) and subsidiary liquidity and capital requirements such as the LCR, NSFR, and G-SIB surcharge Strong written and oral communication skills with ability to produce polished presentation materials for senior executives Strong teamwork and interpersonal skills to collaborate with global team members across time zones PREFERRED QUALIFICATIONS Experience working in Consulting, Treasury or another finance-related function in a corporate or major financial institution Exposure to banking funding products, capital or money markets a plus Experience with Business Intelligence toolkits, such as tableau, aqua studio (SQL) or Jupyter notebook (Python)