Join a fast-paced hedge fund environment to develop, maintain, and optimize Python-based tools and systems that support trading, risk management, and data analytics. Collaborate with quants, analysts, and IT teams to deliver efficient, scalable solutions that drive investment decisions.
Key Responsibilities:
Design, develop, and maintain Python applications for trading, analytics, and reporting.
Integrate and process large financial datasets from multiple sources.
Collaborate with quantitative researchers to implement algorithms and strategies.
Optimize code for performance, scalability, and reliability.
Assist in building automated data pipelines and workflow tools.
Contribute to code reviews, testing, and documentation.
Skills & Expertise:
Strong Python programming and scripting skills.
Experience with data analysis libraries (Pandas, NumPy, SciPy).
Knowledge of financial markets, instruments, and trading concepts.
Experience with APIs, databases (SQL/NoSQL), and data integration.
Familiarity with version control (Git) and collaborative development practices.
Ability to work in a fast-paced, results-driven environment.
Preferred:
Experience with cloud platforms (AWS, Azure) or high-performance computing.
Knowledge of risk management, portfolio analytics, or quantitative finance.
Familiarity with visualization tools (Matplotlib, Plotly, Power BI).
Bachelor's or Master's in Computer Science, Mathematics, Finance, or related field.