Software Engineer – Quantitative Trading

Block Pulse Talent; New York (NY); On-site; USD 200,000 - 350,000; Full time

Job summary

Block Pulse Talent is partnering with a leading quantitative investment firm in New York to hire exceptional Software Engineers. You will build infrastructure, research platforms and systems at the core of quantitative investing, with no prior finance experience required.

Expect 2-8+ years of experience, strong CS/Math background, and expertise in Python and/or C++. Work closely with researchers and engineers on data-intensive, high-performance systems, with a compensation range of

Qualifications

• 2-8+ years of software engineering experience.
• Strong CS, Engineering, Mathematics or related technical background.
• Strong Python and/or C++.
• Clear evidence of technical ownership and measurable impact.
• Experience working on complex, data-intensive or research-driven systems.

Responsibilities

• Build infrastructure, research platforms and systems at the core of quantitative investing.
• Collaborate with world-class engineers and quantitative researchers.
• Own components with measurable impact on research and investment outcomes.

Skills

Distributed systems

Research platforms

Search/Ranking/Recommendations

Data and ML infrastructure

Python/C++

Developer tooling

Performance at scale

Education

CS/Engineering/Math background

Job description

Block Pulse Talent is partnering with a leading quantitative investment firm undergoing significant growth across its engineering organisation in New York.

We're looking for exceptional Software Engineers to build the infrastructure, research platforms and systems that sit at the core of quantitative investing.

You do not need previous finance experience.

We're particularly interested in engineers from Big Tech, AI/ML organisations, high-growth startups and leading quantitative firms who have worked on problems across:

• Distributed systems and large-scale infrastructure
• Research, simulation and experimentation platforms
• Search, ranking, recommendations or ads
• Data and ML infrastructure
• High-performance Python and/or C++
• Developer tooling and research infrastructure
• Performance, reliability and optimisation at scale

What stands out

• 2-8+ years of software engineering experience
• Strong CS, Engineering, Mathematics or related technical background
• Strong Python and/or C++
• Clear evidence of technical ownership and measurable impact
• Experience working on complex, data-intensive or research-driven systems
• Exceptional academic backgrounds, rapid progression or significant technical achievements

You'll work closely with world-class engineers and quantitative researchers on problems where engineering has a direct impact on research and investment outcomes.

Compensation: $200,000-$350,000+ base, plus significant performance-based bonus.

If you're a strong engineer from technology and have considered exploring quantitative trading, we would be interested in speaking.