Location
London

Hours
Full Time

Salary
Negotiable

About the Role
CDSClear is the only CDS clearing house in Europe and the US offering clearing for combined European and US indices and their constituent Single Names. This provides users with opportunities to maximise netting and capital efficiencies through margin offsets. The expansion of clearing services to the US credit derivatives market offers reliable access to a single global pool of deep, cleared CDS liquidity for both US Futures Commission Merchant/Broker Dealer and EU clearing members.

The role is based in London and reports directly to the CDSClear Risk Analytics and Methodology lead. This junior quant position offers an excellent opportunity to join LSEG and contribute to the implementation and enhancement of risk model analytics supporting business development. Responsibilities include defining, prototyping, testing, and documenting model changes, maintaining analytics for model risk monitoring, supporting model validation reviews, and partnering with internal teams to ensure smooth production deliveries.

Key responsibilities include:
- Defining and testing model changes and documenting methodology for governance approval
- Developing business requirements and test cases for risk model changes
- Maintaining risk methodology documentation for members and auditors
- Producing and maintaining regular model risk monitoring reports
- Providing SME support to clients, members, and regulators
- Building and managing relationships with internal stakeholders including model validation, second line risk, IT development, testing, and risk change teams to improve delivery predictability, transparency, and efficiency

Experience
Recent Master’s or PhD graduate, or equivalent experience in Mathematical Finance, Statistics, Physics or related field. Some relevant quant experience is a bonus but not essential as training will be provided.

About you
A keen interest in financial derivatives (both Vanilla and OTC). Well organised and articulate communicator, able to coordinate with other teams to safely introduce market-driven and CDSClear-driven changes in production. Ability to build strong partnerships and work collaboratively across multiple teams.

Qualifications
Proficiency in R is required (or Python with willingness to learn R). A strong academic background in a quantitative discipline is essential.