Quantitative Developer: ML, Cloud APIs & Backtesting

Rachel Paul Recruiting; Greenwich (CT); Hybrid; USD 85,000 - 110,000; Full time

Job summary

Rachel Paul Recruiting is looking for a Quantitative Research Developer to join a global investment firm in Greenwich, CT. This hybrid role involves working with cloud-based APIs, data platforms, and high-performance backtesting engines while supporting the Specialized Investments Group.

The ideal candidate will have over 3 years of experience in Python (NumPy/Pandas) and SQL, as well as a strong grasp of design patterns and cloud architecture. A background in quantitative finance is a plus, and excellent communication skills are essential.

Qualifications

• 3+ years of experience in Python with NumPy/Pandas.
• Strong understanding of OOP and design patterns.
• Familiarity with AI and agentic frameworks is a plus.

Responsibilities

• Develop data platforms and validation engines.
• Build API infrastructure for data handling.
• Create high-performance backtesting engines.

Skills

Python (NumPy/Pandas)

SQL

OOP

Design Patterns

Microservices

Cloud Architecture

AI Frameworks

Quant Finance

Job description

Rachel Paul Recruiting is looking for a Quantitative Research Developer to join a global investment firm in Greenwich, CT. This hybrid role involves working with cloud-based APIs, data platforms, and high-performance backtesting engines while supporting the Specialized Investments Group.

The ideal candidate will have over 3 years of experience in Python (NumPy/Pandas) and SQL, as well as a strong grasp of design patterns and cloud architecture. A background in quantitative finance is a plus, and excellent communication skills are essential.