Quantitative Developer: Build Scalable Research Tools

Fintal Partners; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Fintal Partners in New York is seeking a Quantitative Developer to join research and trading teams, building tools, infrastructure, and production systems used by researchers and traders.

You will collaborate with researchers to deploy models, optimize data pipelines, and improve the performance of live trading platforms. This role blends software engineering with quantitative research in a fast-paced environment.

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Qualifications

• 3+ years of professional software development experience.
• Experience with scientific computing libraries (NumPy, Pandas, Polars) or similar.
• Experience building scalable software, data pipelines, or distributed systems.
• Strong understanding of algorithms and data structures.
• Excellent problem-solving skills in a fast-paced, collaborative environment.

Responsibilities

• Build and enhance the software infrastructure used by quantitative researchers and traders.
• Design and develop scalable Python applications for research and live trading.
• Develop tools and frameworks to accelerate quantitative research workflows.
• Deploy models and strategies into production in collaboration with researchers.
• Improve performance, reliability, and scalability of research and trading platforms.
• Build and maintain data pipelines, APIs, and distributed systems for market data and analytics.
• Participate in architecture discussions, code reviews, and technical design decisions.

Skills

Python

NumPy

Pandas

Data pipelines

Algorithms

Problem solving

Education

Bachelor's or Master's in CS/Engineering/Math/Physics

Tools

Polars

Linux

C++

Job description

Fintal Partners in New York is seeking a Quantitative Developer to join research and trading teams, building tools, infrastructure, and production systems used by researchers and traders.

You will collaborate with researchers to deploy models, optimize data pipelines, and improve the performance of live trading platforms. This role blends software engineering with quantitative research in a fast-paced environment.

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