The Role
Join us as a < Credit Quantitative Analyst >, developing mathematical models, pricing engines, and risk
management tools for credit financial instruments (CDS, loans, structured products). The role combines
hands-on Front-Office quantitative modelling with strong engagement across Risk, Front Office,
Technology, and Model Risk Management.
What the Business does
This role is based in the < Quant Analytics & Quant Development, India > function at <NWM>. NatWest
Markets is a market leader in the area of derivatives trading across Fixed Income, Credit and Foreign
Exchange. Core derivatives teams are based in London, Stamford and growing in India. The successful
candidate will join NatWest Markets Quants Group in Bangalore and will work with London based
Quant teams.
Your Responsibilities
As a < Credit Quantitative Analyst >, your key responsibilities will include:
Design, develop, and maintain pricing models for flow credit products and structured credit
derivatives, including CDS, loans, repo, CLNs, and CDOs.
Build and enhance risk analytics frameworks to measure market, credit, and counterparty risk.
Develop pre‑trade analytics, relative value measures, and electronic trading algorithms to support
and optimise trading decisions and performance.
Analyse large volumes of market and reference data to identify trends, automate trading signals,
and calibrate model parameters.
Implement advanced quantitative models within a high‑performance C++ analytics library and take
ownership of the production codebase.
Ensure all models and analytics adhere to internal risk frameworks and external regulatory
requirements, supporting governance, validation, and audit processes.
The Skills you’ll need
In order to be successful in this role, you must have the following skills & experience:
Solid understanding of credit markets, stochastic calculus, probability theory, and numerical
methods.
5+ years in front-office investment banking or buy-side hedge fund roles, focusing on fixed income
or credit.
Strong C++ and/or Python programming and model implementation skills.
Strong mathematical background and analytical skills.
Excellent interpersonal and communication skills. Ability to articulate ideas and make
recommendations. The candidate should be able to present their findings to audiences with varying
levels of technical background.
The candidate will hold a Bachelor’s / Master’s degree in a STEM (Science, Technology, Engineering
and Mathematics) subject from a premier academic institution. Candidates from top IITs, NITs, BITS
will be preferred.
