Quantitative Researcher
4 weeks ago
This is an opportunity for an experienced Quant Researcher to join a leading multi-asset prime brokerage and clearing firm.
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.
Primary Accountabilities / Responsibilities
- Develop and prototype models for regulatory capital calculation and liquidity stress testing, compliant with various jurisdictions.
- Implement scalable, supportable models for capital and liquidity management in collaboration with the Engineering team.
- Develop historical analysis and perform data research to back capital & liquidity models.
- Ensure balanced focus on internal management and external reporting for both capital and liquidity.
- Deploy production-grade code and manage data pipelines as a full-time member of the Engineering team.
- Work closely with Risk, Structuring, Finance, and Compliance teams for regulatory interpretations, focusing equally on capital and liquidity management.
Knowledge, Skills & Abilities
- Strong data science skills, particularly in Python and SQL, for data manipulation and model development.
- Proven ability in building and integrating processes into the firm’s strategic architecture, with a focus on capital and liquidity.
- Excellent communication skills, capable of bridging quantitative and non-quantitative teams.
- Autonomous working capability, effective in a distributed team environment.
- Proficiency in large-scale, production-grade coding.
- Creative and independent problem-solving skills, with the ability to communicate complex ideas clearly.
Education & Experience
- Degree in a technical or quantitative subject, with a strong preference for a graduate degree.
- Minimum 8 years of experience in quantitative finance and engineering roles.
- Proven experience in regulatory interpretation and reporting, especially in IFPR, EMIR regimes, and their application to prime brokerage, secured financing, and digital assets.
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