Quantitative Developer

Revive IT Recruitment; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Performance bonus

Job summary

Revive IT Recruitment is sourcing a Quantitative Developer for on-site roles in New York, Miami or Chicago. You will build infrastructure, tooling, and production systems that turn research ideas into live trading strategies.

You will work at the intersection of research and engineering, partnering with researchers and portfolio managers to deploy scalable analysis pipelines and backtesting environments. A strong background in math, programming, and distributed systems is essential.

Qualifications

• Strong programming skills in Python, C++, Java, Rust, or similar languages.
• Excellent understanding of software engineering principles, algorithms, and distributed systems.
• Strong mathematical and analytical problem-solving skills.
• Experience with large datasets and high-performance computing environments.

Responsibilities

• Build and maintain research frameworks used by quantitative researchers.
• Develop large-scale backtesting and simulation environments.
• Design and optimise signal generation and production pipelines.
• Create portfolio construction, execution, and analytics tooling.
• Collaborate with researchers to productionise models.

Skills

Python

C++

Java

Rust

Distributed systems

Education

Computer Science or related quantitative field

Tools

Backtesting frameworks

Cloud computing

Job description

Quantitative Developer

Quantitative Developer New York / Miami / Chicago (On-Site) Highly Competitive Compensation + Significant Performance Bonus Global Quantitative Investment Firm

The Opportunity

Our client is one of the world's leading quantitative investment firms, combining cutting-edge technology, advanced mathematics, and large-scale data analysis to drive investment decisions across global markets.

They are looking for exceptional Quantitative Developers to sit at the intersection of research and engineering, partnering directly with researchers and portfolio managers to build the infrastructure, tooling, and production systems that transform investment ideas into live trading strategies.

This is a highly impactful role where your work will influence how research is conducted, tested, deployed, and scaled across the organisation.

What You’ll Do

• Build and maintain research frameworks used by quantitative researchers.
• Develop large-scale backtesting and simulation environments.
• Design and optimise signal generation and production pipelines.
• Create portfolio construction, execution, and analytics tooling.
• Work closely with Quantitative Researchers to transition models from research into production.
• Improve the performance, reliability, and scalability of research infrastructure.
• Partner with engineers, researchers, and portfolio managers to solve complex technical and quantitative challenges.

What You’ll Have

• Strong programming skills in Python, C++, Java, Rust, or similar languages.
• Excellent understanding of software engineering principles, algorithms, and distributed systems.
• Strong mathematical and analytical problem-solving skills.
• Experience working with large datasets and high-performance computing environments.
• Ability to collaborate effectively with both researchers and engineers.
• Passion for building tools and systems that enable others to move faster and make better decisions.

Nice to Have

• Experience in quantitative finance, systematic trading, machine learning, or data-intensive environments.
• Exposure to backtesting frameworks, simulation systems, or research platforms.
• Background in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative discipline.
• Experience working with cloud infrastructure, distributed computing, or high-performance systems.

What’s In It For You?

• Work alongside world-class researchers, engineers, and portfolio managers.
• Build the infrastructure that powers investment decisions across billions of dollars in capital.
• Solve highly complex technical and quantitative problems at scale.
• Direct visibility and impact on research productivity and trading outcomes.
• Access to exceptional technology, data, and computational resources.
• Highly competitive compensation with significant upside tied to performance.
• Join a meritocratic environment where technical excellence and innovation are highly valued.