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We are assembling a strong Quant Technology team to help the firm with stress liquidity management, analysis, and optimization. You will play a pivotal role in driving the development and delivery of high-performance engineering solutions, collaborating with stakeholders across Trading, Treasury, and top-level Management. You will work in a team of engineers and work closely with researchers to develop and maintain in-house models, as well as integrate them into the firm's broader cash management processes.

Responsibilities

• Take part in the development and enhancement of the back-end distributed system, providing high performance and high availability margin and stress cash calculations and simulations to Senior Management, Portfolio Managers and Treasurers.
• Work closely with Quant researchers and developers, tech teams, middle office and business management teams in London, New York, Tel Aviv & Miami.
• Design, develop and maintain data models, pipelines and warehouse and caching stores

Requirements

Must-have qualifications/skills:

• Minimum 5+ years of experience developing systems in Python or other OOP background with Python knowledge.
• B.A. in computer science or another quantitative field.
• Experience with Cloud technologies
• Experience working with RDBMS (Postgres preferred) and other database technologies (data lakes, DuckDB, NoSQL)
• Good understanding of Design Patterns, Algorithms & Data structures
• Experience working with Git / GitHub and with CI/CD pipelines
• Ability to communicate effectively with senior stakeholders across the organization
• Able to work independently in a fast-paced environment.
• Detail oriented, organised, demonstrating thoroughness and strong ownership of work.

Nice-to-have qualifications/skills:

• Knowledge of Treasury cash management and margin methodologies