
Quantitative Analytics Market Risk Modeler
Barclays · Posted Oct 6
Banking, credit card, corporate, investment banking, and wealth management services
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About the role
The Barclays Quantitative Analytics Team is responsible for developing best in class market risk models using industry leading model development frameworks and methodologies, working in a global quant team alongside regulators across the world and cutting-edge technology. The role sits within market risk modelling, covering areas such as FRTB IMA & SA, VaR, Expected Shortfall, CCAR, stress testing and risk factor modelling. The modeler will design, develop, implement and support mathematical, statistical and machine learning models and analytics used in business decision-making, partnering with technology to operationalise them.
What you will do
- 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.
- To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
- Collaborate closely with other functions/ business divisions.
- Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
- Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
- Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
- Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
- Take ownership for managing risk and strengthening controls in relation to the work done.
- Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
- Communicate complex information.
- Influence or convince stakeholders to achieve outcomes.
Skills used in this role
What the employer is looking for
- You must have experience working as model developer in one or more of the following areas: FRTB IMA & SA, VaR, IRC / DRC, Expected Shortfall (ES), Economic Risk Capital, CCAR, Stress Testing, CVA, Exposure & Risk Factor Modelling (Interest Rates, Equities, Credit, Commodities etc.), Back-testing, Numerical Analysis.
- 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).
- Desired Qualification ; Advanced Technical Degree (Master's / PhD / similar or equivalents) - Statistics, Engineering, Numerical Analysis, Mathematics, Physics, Econometrics, Financial Engineering, Computer Science, Financial Mathematics
- Certification - GARP-FRM, PRM, CQF, AI/ML Courses, Programming.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Barclays
Barclays is a British multinational universal bank that provides consumer, corporate, and investment banking, as well as wealth management services. Tracing its origins back to 1690 in London, the institution operates globally to serve millions of retail and institutional clients. The bank leverages cutting-edge technology and digital platforms to drive operational efficiency across its international network.
- Industry
- Banking
- Company size
- 93000+ employees
- Founded
- 1690
- Location
- London, United Kingdom
- Funding stage
- Public Company
Leadership
Group Chief Executive
Group Finance Director
Group Chief Operating Officer
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