Consultant - Market Risk - New Ventures Risk Dynamics - Knowledge Center - BFS

Who You'll Work With -

You'll be based in our Gurgaon Knowledge Center in India,

- The team is a specialized team conducting in-depth validation and model risk advisory services for banks, asset managers, insurance firms, and other leading financial institutions. These assessments require a rigorous understanding of both underlying modeling techniques and the overall business context in which such models are being used. Our model validation and model risk advisory work spans multiple risk functions, markets, operating challenges, and modeling techniques.

It is driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client work. It is helping to shift our model toward asset-based consulting and is a foundation for, and expands our investment in, our entrepreneurial culture. Through innovative software as a service solutions, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with us.

What You'Ll Do -

- As an integral part of the team, you will help clients validate their models and assess their modeling frameworks across a variety of risk functions, including market and trading risk, credit risk, and model risk management.

- You will be part of a team of exceptional risk analytics professionals with similarly deep industry experience and will be expected to communicate complex analytics concepts in a clear and concise manner to key client stakeholders. We are therefore looking for candidates who can establish connections between sophisticated modeling techniques and strategic decision-making processes. We have a global client base and you will be exposed to a highly international environment.

- You will also have the opportunity to advance Company's overall knowledge base by providing rigorous analysis to and problem solving for our proprietary knowledge investments. At more senior levels, you'll also focus on developing new analytical approaches and techniques, working with an outstanding knowledge structure and international network of experts in order to codify existing knowledge and develop new knowledge.

- Some work at the client site is expected. Working on projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills.

Your background:

- A track record of academic excellence including a Master's or PhD from a reputable college/university in a quantitative field such as economics, mathematics, computational finance, statistics, engineering, or physics; industry qualifications including CFA, FRM, PRM or similar would be considered an asset

- 2-5 years of relevant professional/industry experience combining risk management and/or advanced quantitative modeling techniques, preferably within a financial services related industry (e.g., banking and securities, asset management)

- Experience in model development, validation, and benchmarking, specifically related to single and multifactor models, and other modeling techniques (e.g., Merton, Longstaff-Schwartz, Black-Sholes, etc.) within a regulatory context (e.g., CCAR)

- Hands on experience in developing/validating derivative pricing models

- Knowledge of VaR (historic, parametric, MonteCarlo), EOD or intra-day risk & valuation, as well as stress-testing and scenario analysis

- Understanding of financial mathematics including stochastic calculus and probability theory, as well as derivative pricing models and other numerical techniques across a variety of asset classes (e.g., equities, rates, credit, FX and commodities)

- Experience programming in a modern scientific language (e.g., Python, Matlab, R) and some experience with Java, C#, C++, or C. Knowledge of SQL, SAS, and VBA would be a plus

- Exceptional verbal and written communication skills, especially around translating technical knowledge into forms that can be digested by leadership and non-technical project teams; ability to produce independent opinion and actionable recommendations