Quantitative Developer - Risk Technology.

Millennium Management; London; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading global hedge fund, Millennium Management, seeks a Quantitative Developer to join their Risk Technology team in London. This role involves developing risk analytics solutions, utilizing Python and AWS, and collaborating with teams across New York, Tel Aviv, and Singapore. Ideal candidates will have a strong finance background, analytical skills, and experience working independently in a fast-paced environment.

Qualifications

• Minimum 2 years’ experience with Python and data analysis libraries.
• Detail-oriented and organized.
• Passion for finance and understanding of financial instruments.

Responsibilities

• Develop risk analytics solutions for the Fixed-Income business.
• Create cloud applications and manage data pipelines.
• Analyze data using pandas/polars for impactful presentations.

Skills

Analytical Skills

Problem Solving

Data Analysis

Independent Working

Education

Bachelor’s degree in Computer Science, Mathematics, Engineering

Tools

Python

AWS

Pandas

Polars

REST APIs

SQL

Unix/Linux

Job description

Quantitative Developer - Risk Technology

Millennium is a top tier global hedge fund with a strong commitment to technology and data science.

We are looking for a Quantitative Developer to join our Risk Technology team in London. The developer will use Python, AWS and data manipulation libraries to provide risk managers with data-driven insights on our fund’s risk profile.

Responsibilities

• Work closely with quants, risk managers and other technologists in New York, Tel Aviv and Singapore to develop risk analytics solutions for our Fixed-Income business.
• Develop micro-services, data ingestion pipelines and APIs to feed tools and dashboards that monitor Millennium’s market risks.
• Analyse data with pandas/polars to present data in the most impactful way possible.
• Create and manage cloud applications using AWS.

Required skills/experience

• Bachelor’s degree in Computer Science, Mathematics, Engineering or similar, from a leading university.
• Passion for working in finance, and broad understanding of financial instruments and services.
• Strong analytical skills & problem-solving capabilities.
• Ability to work independently in a fast-paced environment.
• Minimum 2 years’ experience working with Python, and data analysis libraries (Pandas/Polars/Numpy).
• Experience with REST APIs and cloud services.
• Relational SQL database development experience.
• Unix/Linux command-line experience.
• Detail oriented, organised, demonstrating thoroughness and strong ownership of work.

Desirable skills/experience

• Experience with financial mathematics and risk modelling.
• Prior experience working directly with risk management/trading functions.
• Experience in Java development.