We are seeking a Quantitative Research professional who will Build models and infrastructure used for the risk management of Market Risk. 

Job Summary

As a Quantitative Research professional in our QRMC team, you will be instrumental in building financial engineering, data analytics, and statistical modeling. You will partner with various stakeholders across all products and regions, contributing to product innovation, valuation, risk management, and portfolio optimization. Your role will also involve electronic trading, market making, and implementing appropriate financial risk controls.

Job Responsibilities

Implementation of the next generation of risk analytics platform and assess model performance, perform back testing analysis and P&L attribution; Improve performance and scalability of analytics algorithms and develop and enhance mathematical models for VaR/Stress/FRTB; Assess the appropriateness of quantitative models and their limitations, identifying and monitoring the associated model risk;  Design efficient numerical algorithms and implementing high performance computing solutions; Design and develop software frameworks for analytics and their delivery to systems and applications.

Required qualifications, capabilities, and skills

Advanced degree (PhD, MSc, B.Tech or equivalent) in Engineering, Mathematics, Physics, Computer Science, Financial Engineering etc. Strong Python and/or C++ coding skills for model development Data analytics using open-source Python packages (pandas / NumPy / scikit-learn) Basic understanding of product knowledge across a range of asset classes – Credit, Rates, Equities, Commodities, FX & SPG; Strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience

Preferred qualifications, capabilities, and skills

Experience in securitized products trading or modeling Experience in VaR/Stress/FRTB