Risk Quants Senior Analyst

Join us as a Senior Risk Quantitative Analyst

• 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
• Hone your analytical skills and advance your career in this fast paced, critical role
• We're offering this role at senior analyst level

What you'll do

This key role will see you providing model, pricing and functional specifications of the models for the various asset classes, and for the subsequent validation by risk analytics. We’ll also look to you to support to a team of quantitative analysts and technical specialists, providing quantitative and technical mentoring to help them develop in their roles.

Day-to-day, you’ll also be:

• Supporting 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
• Maintaining and 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 or someone with substantial experience in a quantitative role of specified asset classes, and experience in credit valuation adjustments, expected positive exposure, building valuation models, optimising pricing routines and computing efficiency.

You’ll have a proven ability to facilitate work across organisational boundaries, and you’ll be able to remove barriers that constrain performance excellence and make sure that quality improvements meet the needs and expectation of a diverse population.

We’ll also expect:

• Exceptional Problem-Solving Skills. Ability to approach complex challenges with analytical rigor and creativity.
• Strong Quantitative and Statistical Expertise. Solid foundation in probability theory, statistics, calculus and data analysis techniques.
• Proficient Programming Skills. Python or similar languages for data analysis and model development.
• Financial and Risk Acumen. Good understanding of financial instruments and core risk concepts.
• Attention to Detail. Careful and thorough approach to data, models, and documentation, ensuring accuracy and reliability in all aspects of analysis.
• Effective Communication. Ability to explain technical concepts effectively to both technical and non-technical audiences