Overview
A multi-strategy, multi-manager hedge in London is looking to appoint a Treasury Engineer.
The Technology and Strats (Quant) teams build and operate the engineering platform behind the firm’s investment activity and business functions globally. Working alongside the investment teams to create edge in research, portfolio construction, execution and risk management, and applying machine learning and AI across both the investment process and the firm’s platform operations. Strategic Analytics (“Strats”), with its quantitative researchers and developers, partner directly with Portfolio Managers and the businesses on strategy-specific research, models, signals, backtesting and execution, while building the shared pricing, analytics and research infrastructure used across strategies. The core Technology teams own the firm’s market, reference and alternative data platform; the infrastructure including cloud, compute, developer tooling, security and connectivity that everything at the firm runs on.
Key Responsibilities
- Design, build, and maintain systems to calculate and manage margin requirements, financing interest, and funding costs across asset classes.
- Design and build scalable systems for near real-time trade processing and portfolio optimization.
- Collaborate with global team of software engineers, quantitative researchers, Portfolio Finance, Repo traders to deliver robust solutions
- Improve performance and resilience of existing services, and optimize data access patterns.
- Maintain open curiosity and an ownership mentality of all aspects of Treasury systems & workflows
Skills, Knowledge & Experience
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
- 3+ years of hands-on experience in a professional software development environment
- Working experience in Python, Java, or other object-oriented programming languages
- Strong computer science fundamentals, analytical abilities, and problem-solving skills
- Experience with AWS or other cloud technology is a plus
- Familiarity with relational database systems and SQL (e.g., Oracle DB, PostgreSQL)
- Knowledge of global portfolio financing/funding, trading workflows, or post-trade lifecycle processes is a plus
- Excellent communication and teamwork skills to effectively collaborate with global team members
- Ability to manage multiple tasks in a dynamic environment
