QA-Market Risk

Barclays; Mumbai City; On-site; INR 2,500,000 - 6,000,000; Full time

Job summary

Barclays is seeking a Quantitative Analytics Market Risk Modeler in Mumbai to design and implement advanced risk models using Python, R, and C++. You will work in a global quant team and engage with regulators while applying contemporary modeling frameworks.

You will develop end-to-end models, validate methodologies, and collaborate with technology to deploy robust production solutions with strong governance.

Qualifications

• Advanced technical degree in a quantitative field (MS/PhD).
• Hands-on model development and/or validation experience.
• Proficient coding in Python OR R OR C++ and familiarity with ML workflows.
• Knowledge of risk frameworks and regulatory concepts (Basel, VaR, ES) is preferred.

Responsibilities

• Design and implement analytics, statistical and ML models for risk decision-making.
• Collaborate with technology to specify data, environments and tools.
• Develop well-documented analytics solutions and demonstrate their efficacy to stakeholders.
• Operationalize models in production and provide ongoing support.
• Ensure adherence to risk policies, controls and governance.

Skills

Python

R

C++

Statistical Modeling

Machine Learning

Financial Risk

Education

Master’s or PhD in Statistics/Engineering/Mathematics

Tools

Git

Jupyter

SQL

Job description

Job Description

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.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your workand areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as an Quantitative Analytics Market Risk Modeler 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 an Quantitative Analytics Market Risk Modeler you should have experience with:

• You must have knowledge of the following in FRTB, VaR, Expected Shortfall (ES), BASEL, Monte Carlo Simulation, Stress Testing, Exposure Modeling, 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, SS1/23
• 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, Coding and Computer Programming

This role is based out of Mumbai.