Quantitative Developer - Risk Technology.

Millennium Management; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading global hedge fund in London seeks a Quantitative Developer to join their Risk Technology team. The successful candidate will leverage Python and AWS to develop risk analytics and insights for the firm's risk profile. This position requires a solid educational background in Computer Science or a related field, and at least 2 years of experience in data analysis. Ideal for someone passionate about finance and eager to work in a fast-paced environment.

Qualifications

• Minimum 2 years’ experience working with Python and data analysis libraries.
• Detail oriented, organised, demonstrating thoroughness.
• Prior experience working directly with risk management or trading functions.

Responsibilities

• Work closely with quants, risk managers and technologists to develop risk analytics solutions.
• Develop micro-services, data ingestion pipelines and APIs.
• Analyse data with pandas/polars for impactful presentation.
• Create and manage cloud applications using AWS.

Skills

Python

Data analysis libraries (Pandas/Polars/Numpy)

REST APIs

Cloud services (AWS)

Analytical skills

Problem-solving capabilities

Financial mathematics and risk modelling

Education

Bachelor’s degree in Computer Science, Mathematics, Engineering or similar

Job description

Social network you want to login/join with:

col-narrow-left

Client:

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

e36086d95929

Job Views:

16

Posted:

12.08.2025

Expiry Date:

26.09.2025

col-wide

Job Description:

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.
• Detail oriented, organised, demonstrating thoroughness and strong ownership of work.
• Experience with financial mathematics and risk modelling.
• Prior experience working directly with risk management/trading functions.