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:

• At least two years of relevant experience
• Degree in a quantitative discipline such as Engineering, Mathematics, Statistics, Finance, or Economics is mandate.
• Strong analytical, problem-solving, and quantitative skills with expertise in statistics, probability, and data analysis.
• Proficiency in Python or similar programming languages for data analysis and model development.
• Good understanding of financial risk concepts, with strong attention to detail and effective communication skills.
• Significant experience in a banking or other financial institution
• The ability to recognise multiple relationships between problems, issues and situations

Hours

Job Posting Closing Date: