Risk Quants Associate

4 days ago

Gurgaon, India NatWest Markets Full time

Our people work differently depending on their jobs and needs. From home working to job sharing, visit the remote and flexible working page on our website to find out more.

This role is based in India and as such all normal working days must be carried out in India.

Join us as a Risk Quants Associate
- This is a great opportunity for someone with experience in a quantitative role to join our Risk function
- You’ll be working closely with quantitative analysts across asset classes to identify and assess diffusion models and pricer approximations
- This role will provide you with a platform to keep building your knowledge and expertise, and offers you great exposure for you and your work
- This role is available at associate level

**What you'll do**:
As a Risk Quants Associate, you’ll be supporting a team of quantitative analysts and technical specialists, providing quantitative and technical mentoring. This key role will also see you providing model, pricing and functional specifications of the models for the various asset classes, and for the subsequent validation by risk analytics.

Day-to-day, you’ll also be:

- Providing a phased delivery of the simulation models and pricer prototypes
- Producing model documentation to be delivered to the PRA for internal review
- Advising senior management on and actively managing a project’s non-delivery risk
- Making sure that adequate documentation is produced for governance
- Assisting our IT department in implementing the models, and overseeing the implementation of the functional specifications back-testing against the prototypes

**The skills you'll need**:
We’re looking for someone with at least 10 years' professional experience and a background in a quantitative role of specified asset classes, including credit valuation adjustments, expected positive exposure, building valuation models, optimising pricing routines and computing efficiency. Along with knowledge of counterparty credit risk models, market risk models, stress testing models, and capital models, you'll have a strong grasp on statistics, probability theory, calculus, and financial mathematics. Experience designing, prototyping, writing, and testing financial risk and pricing models from an investment banking perspective would be beneficial, as would familiarity with Python.

You’ll also demonstrate:

- Significant experience in a banking environment or other financial institution
- A degree in a mathematical science or engineering
- Knowledge to develop an infrastructure for prototyping and back-testing
- The ability to recognise multiple relationships between problems, issues and situations
- Experience of guiding colleagues and supporting them in developing further
- The ability to work well independently and as part of a team

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