Quantitative Developer

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

Join a global investment firm built at the intersection of financial theory and quantitative research. We apply systematic, research-driven approaches to deliver scalable investment strategies for institutional clients including pension funds, endowments, and sovereign wealth funds.

The Team

You’ll join the Quantitative Research Development (QRD) team — the front-office engineering group that designs and builds platforms powering research and portfolio management workflows. This role focuses on supporting the Specialized Investments Group (SIG), which develops tax-aware and tax-efficient investment strategies, a significant growth area for the firm.

Your Role (Hybrid, 3 days in office)

• Data platforms, optimization, orchestration, and validation engines
• API infrastructure incorporating millions of data points
• Cloud-based research APIs and cutting-edge visualizations
• High-performance backtesting engines for new product launches
• ML and AI-driven applications

What You’ll Bring

• 3+ years of Python (NumPy/Pandas) experience; SQL required
• Strong grasp of OOP, design patterns, microservices, and cloud architecture
• Familiarity with AI and agentic frameworks
• Excellent communication and collaboration skills
• Background in quant finance a strong plus