Quantitative Analytics

**Date live**: 06/11/2025 **Business Area**: Risk **Area of Expertise**: Risk and Quantitative Analytics **Contract**: Permanent **Reference Code**: JR-0000046528 In Risk Barclays develops, recommends, and implements controls and cost-effective approaches to minimise Barclay's risks, identifies and analyses potential sources of loss to minimise risk and estimate the potential financial consequences of an occurring loss. See your commute Join us as a " Wholesale Credit Risk/ Counterparty Credit Risk OR Market Risk Assistant Vice President “ at Barclays Quantitative Analytics Team where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You will be responsible for developing best in class credit risk models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology. You may be assessed on the key critical skills relevant for success in role, such as experience with end-to-end model development, experience on coding languages like Python OR R OR C++, as well as job-specific skillsets. To be successful as a Quant Analytics Wholesale Credit Risk Assistant Vice President you should have experience with: Hands on coding experience (as a full-stack developer / agile developer etc.) Preferable language is Python, C/C++. You must have knowledge of the following in Credit Risk (Pillar 1 - Probability of Default (PD), Loss Given Default (LGD), Exposure of Default (EAD), Experience in IFRS9/CECL/ CCAR can also be considered You must have stress Testing/Scenarios Modelling), Model Development and/or Model Validation (core development experience), Statistical Modelling (preferably for Wholesale credit book). To be successful as a Quant Analytics Counterparty Credit Risk (CCR) Assistant Vice President you should have experience with: You must have knowledge of the following in CCR - IMM Models, SA-CCR, CVA, BASEL Framework, Monte Carlo Simulation, Exposure / Collateral Modelling, PFE (Potential Future exposure), EPE, EPPE, Derivatives Pricing, Greeks, Risk Factor Modelling (Interest Rates, Equities, Credit, Commodities etc.), Back-testing, Numerical Analysis, SR 11/7, SS1/23. SS12/13 etc Hands on coding experience (as a full-stack developer / agile developer etc. Preferable language is Python, C/C++ etc) Hand on experience in Model Development and/or Model Validation (core development experience preferred) Experience in Stress Testing/Scenarios Modelling), Statistical Modelling (preferably for Wholesale credit book), Regulators and regulatory frameworks, Stakeholders - Model Owners, Audit, Validation To be successful as a Quant Analytics Market Risk Assistant Vice President you should have experience with: You must have knowledge of the following in Market Risk - FRTB - IMA and/or SA, VAR, Expected Shortfall (ES), BASEL Framework, Monte Carlo Simulation, Stress Testing, Exposure Modelling, CVA, Pricing Models, Desk Quants and Strategists, Black-Scholes, Economic Risk Capital, Incremental Risk Charge (IRC), Risk Factor Modelling (Interest Rates, Equities, Credit, Commodities etc.), Back-testing, Numerical Analysis, SR 11/7, SS1/123, SS13/13 etc Experience in Model Development and/or Model Validation (core development experience). Experience in Stress Testing/Scenarios Modelling Statistical Modelling (preferably for Market Risk), Regulators and regulatory frameworks, Stakeholders - Model Owners, Audit, Validation Hands on coding experience (as a full-stack developer / agile developer etc. Preferable language is Python, C/C++, R etc This role is based out of Mumbai. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with ot