Quantitative Research Role - Model Development/Model Validation - Investment Bank

One of the top investment banks is looking to expand its Quantitative Research team in areas like analyzing business strategies, informing business decisions, identifying and measuring risk, valuing exposures or instruments, hedging derivative positions, conducting stress testing, assessing capital adequacy, managing clients assets, informing investment process, calculating the model risk of complex models used in the context of valuation, risk measurement, capital calculation, and more broadly for decision-making purposes.

Looking for Strong Quantitative researchers who have worked across various asset classes - Equities, Credit, Macro, Fx, Fixed Income Derivatives.

Technical Expertise Includes:

1. Risk & Pricing: Use probabilities, stochastic processes & other mathematical methods to model financial instruments & risks. Extensive model development (e.g. model design, model implementation, desk support) experience at Financial Firm with top 10 ranking in Tier 1 hybrid/exotic derivatives products

2. Excellence in probability theory, stochastic processes, partial differential equations, numerical analysis, option pricing theory (i.e. quantitative models for pricing and hedging derivatives)

2. Well versed with complex auto-callable products, kinds of models that can be developed- e.g. local volatility models, stock volatility models, jump-diffusion models, etc.

3. Expertise in Hull's method, Monte-Carlo simulation

4. Strong hands-on experience in Python, C/C++ programming, Visual Basic

Experience - 4-14 years

Educational Qualifications include:

1. M.S. or Ph.D. in Financial Engineering, Operations Research, Statistics, Computational Finance, ComputerScience, Physics, Applied Mathematics,