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 of risk model analytics changes supporting business development, suggesting model improvements, and documenting methodology for risk governance. The successful candidate will ensure analytics for model risk monitoring reports are maintained, produced, and approved by relevant governance, support regular model validation reviews, and collaborate with multiple internal teams to ensure smooth production deliveries.

Key responsibilities include defining, prototyping, and testing model changes, documenting and obtaining approval from governance, defining business requirements and test cases, maintaining risk methodology documentation, producing model risk monitoring reports, and providing SME support to clients, members, and regulators. The role requires building and managing relationships with internal stakeholders to improve predictability, transparency, and efficiency of all deliveries impacting CDSClear Risk.

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. Proficient in R (or Python and willing to learn R).

Qualifications
Master’s or PhD degree in a relevant quantitative discipline or equivalent experience.