Pricing Model Validation Lead
1 week ago
Description
Model Risk Management’s mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for:
Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policiesThe Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank.
What we’ll offer you
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and aboveYour key responsibilities
The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders including: Front Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers.Your skills and experience
Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in Python an advantage. Excellent communication skills – both written and oral.Education/Qualifications
Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application.How we’ll support you
Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs-
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