Principal Python Engineer | Multi-Strat Hedge Fund

Location: London, UKFirm OverviewA leading multi-strategy investment firm with over $7 billion in assets under management and more than 350 employees across five main offices. The firm focuses on three core principles: approach, platform, and people. They allocate risk capital where there is a compelling opportunity and a clear ability to define a tangible edge, leveraging sophisticated infrastructure, technology, and their balance sheet. The platform, developed over two decades, supports the firm''s operations, evolving with business complexities and technological advancements. The firm values its people, fostering an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity.Principal Engineer CRBThe Central Risk Book (CRB) Engineering team is seeking a Principal Python Engineer to act as a quantitative overlay on global equity trading operations. The engineering team''s goal is to continually improve the entire ecosystem-spanning data, research, trading, and post-trade analytics. As a Principal Engineer, you will own end-to-end delivery of new features and projects, engaging in everything from trading framework design, back-end strategy implementation, and research infrastructure and tool development. You will collaborate closely with quants, traders, and other engineering teams to build a robust and scalable CRB platform.Responsibilities:Platform Development:

Enhance and maintain the CRB ecosystem, including research tools, data pipelines, trading frameworks, back-testing infrastructure, and post-trade analysis systems.End-to-End Project Ownership:

Collaborate with stakeholders to define requirements, design solutions, implement code, and oversee production deployments.Collaboration and Mentorship:

Partner with teammates and business stakeholders to align technical solutions with strategic goals and provide guidance to junior engineers.Light DevOps and Infrastructure:

Contribute to operational monitoring (e.g., Prometheus), CI/CD pipelines, and other essential tooling.Performance Optimization:

Identify and fix performance bottlenecks in multi-threaded systems, ensuring high availability and low latency.Technical Exploration:

Investigate emerging technologies-particularly in data analysis and machine learning-and adapt them to evolving platform needs.Ideal Candidate Background:Experience:

7+ years of professional software development with exposure to capital markets or trading (equities and/or execution).Technical Skills:

Proficient in Python with some exposure to data analysis (Pandas, NumPy) or similar (R, MATLAB). Solid background in object-oriented programming (Java preferred; C++ or C# also valued). Familiarity with Linux-based systems (configuration, scripting, deployment). Docker and/or Kubernetes experience is a plus. Knowledge of statistics or machine learning is a plus (interactions with quant and analytics systems). Understanding of concurrency, networking, and real-time applications.Personal Attributes:

Versatile and passionate about technology, comfortable exploring new tools and frameworks. Demonstrated ability to work independently and take ownership in a self-service environment. Thrives in a fast-paced setting where adaptability and accountability are paramount.Apply Now!Seniority level

Entry levelEmployment type

Full-timeJob function

FinanceInvestment Management

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