Vice President - Market Risk

Our client is looking to add highly motivated and dedicated individuals to their Market Risk team in Risk Management Services group. This is a highly visible team in the organization, looking for candidates across levels. We are looking for individuals with a strong quantitative aptitude and complex business problem solving skills. It is essential to have an eye for detail and the ability to quickly learn as needed. This is a fast-growing team offering a highly challenging, innovative and dynamic work environment.

While this role is based in Gurgaon, we may require candidates to be flexible to relocate to Bangalore in India or to any of our global offices in New York, London, Costa Rica, Beijing, Colombo or Singapore/HK. Candidates with genuine constraints in terms of relocating to other cities or locations are also welcome to apply.

Responsibilities

- Lead market risk, pricing quant, liquidity risk, ALM modelling teams in delivering various analytical projects & teams

- Developing and validating various risk models and in stress testing them

- Understand regulatory guidelines and advise clients on their implementation - Basel II.5, FRTB, ILAAP, IRRBB, MRR

- Understanding of model risk management guidelines and standards (SR11-7)

- Participate in brainstorming sessions and propose hypothesis, approaches, & techniques

- Worked on pricing model development and/ or market risk model development/validation, enabling a clear understanding of the modelling skills required for regulatory risk calculations viz. VaR, IRC/ DRC, RNIV, EVE, NII, ALM/ behaviour models

- Travel onsite to client locations and other MAKS delivery centres as and when needed

- Mentor and train team members that could comprise AVPs, Sr. Associates and Associates

- Build strong relationship with clients, internal and external, and highly engaged team

- Hire suitable team members keeping tactical and strategic needs in mind

- Help in business development and completing RFPs

Moody's Analytics Knowledge Services:

FOR THE INTENDED RECIPIENTS ONLY :

Required Background

- 6-10 years of relevant experience

- PhD or Post-Graduate Degree in Business/ Statistics/ Mathematics/ Economics/ other quantitative disciplines would be preferred.

- Engineering graduates from premier institutions like an IIT or NIT with relevant work experience are also encouraged to apply.

- Strong knowledge and experience with financial instruments across asset classes and their pricing methodologies

- Understanding of broad risk regulatory landscape - development & validation

- Knowledge of quantitative methods - time series analysis, PDE, stochastic calculus

- Strong problem solving and technical skills

- Programming skills: C++ or Java/ any object oriented language, R, Matlab, Python

- Strong verbal and written communication skills

- Certifications such as CQF, FRM and CFA will be a plus