Python Quantitative Developer

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 who has a strong mathematical background, is passionate about finance, and is a quick learner.

The developer will use Python, AWS and data manipulation libraries to provide risk managers with data-driven insights on our fund’s risk profile.

This is a singular opportunity to join one of the top hedge funds in the world and enter the fast-growing world of FinTech, learning from the best in the field how it is done at the highest level.
Our Israel office is located in the Bursa area of Ramat Gan and offers a hybrid work model.
As a global firm, English proficiency is a must.

Responsibilities:

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

Requirements:

• Bachelor’s degree in Computer Science, Mathematics, Engineering or similar, from a leading university. (M.A. degree is a plus)
• Passion for working in finance.
• Strong analytical skills & problem-solving capabilities.
• Minimum 2-3 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.
• Ability to work independently in a fast-paced environment.
• Detail oriented, organised, demonstrating thoroughness and strong ownership of work.

Desirable skills/experience:

• Experience with financial mathematics, statistics and broad understanding of financial services/instruments.
• Prior experience of working directly with risk management/trading functions.
• Experience in JavaScript development, especially in AngularJS or ReactJS.
• Experience in Java development.