Quantitative Developer - Risk Technology

• Collaborate cross-functionally with global risk and quant teams to develop advanced risk analytics solutions.
• Design and implement microservices, data ingestion pipelines, and APIs that support real-time risk dashboards and tools.
• Leverage Python and data analysis libraries (e.g. Pandas, Polars) to synthesize complex data into actionable insights.
• Build and manage scalable cloud-based applications using AWS.

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field from a top-tier university.
• A passion for financial markets and a solid understanding of financial instruments.
• At least 2 years’ experience developing in Python with hands-on work in Pandas/Polars/Numpy.
• Experience building and consuming REST APIs and working with cloud infrastructure (preferably AWS).
• Proficient in SQL and comfortable working in Unix/Linux environments.
• Highly detail-oriented, self-motivated, and capable of thriving in a fast-paced environment., * Exposure to financial mathematics, risk modeling, or working alongside trading or risk teams.
• Experience in Java development is a plus.

Permanent / Full Time London, UK Posted 1 year ago

Profectus Fintech is partnering with a premier global hedge fund to identify and attract exceptional talent for a key role within their Risk Technology division. This is a unique opportunity to join a world-class organisation with a strong focus on technology, data science, and financial innovation.