Data Analyst

A premier international private investment firm, recognized as one of the world's most successful hedge funds, is expanding its elite technical presence in Israel.

The firm leverages sophisticated mathematical models and cutting-edge technology to execute complex investment strategies across global financial markets.

Known for its rigorous talent selection and high-performance culture, the organization manages a massive global portfolio and offers a unique opportunity to work on mission-critical systems at the intersection of high-finance and advanced computer science.

The company's R&D center is located in Central Israel (prime location near major transport hubs) and operates an in-office work model..

Role Overview:

• Quantitative Engineering: Joining a specialized global unit to develop and optimize high-performance data processing systems and financial modeling tools.
• Global Collaboration: Working closely with international teams and stakeholders, requiring seamless integration into a high-stakes, global engineering environment.
• Data-Driven Innovation: Architecting and implementing complex data structures and analytical pipelines to support real-time investment decisions.
• Performance Optimization: Utilizing advanced Python-based libraries to handle massive datasets with a focus on speed, accuracy, and scalability.
• End-to-End Ownership: Participating in the full development lifecycle of mission-critical financial software within a highly competitive landscape.

Requirements:

• Academic degree (B.Sc./M.Sc.) in Computer Science, Mathematics, Physics, or a related quantitative field – Mandatory.
• Significant professional experience in Python development – Mandatory.
• Proven expertise in Data Science libraries (specifically NumPy and Pandas) – Mandatory.
• Strong analytical and problem-solving skills, with the ability to navigate complex mathematical challenges.
• Excellent communication skills and the ability to articulate technical concepts effectively.
• Exceptional proficiency in English (written and verbal) for collaboration with international management – Mandatory.