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Rust Quant Jobs in New York (NOW HIRING)

Partner closely with Quantitative Researchers, Quantitative Developers, and Portfolio Managers to ... Excellent programming skills in languages such as Python, Java, C++, C#, Go, Rust, or similar.

Core Platform- Tech Lead

Manhattan, NY · On-site

$120 - $160/hr

The products you help develop will be used by company CEOs/CFOs, investors and quantitative ... Experience in or willingness to learn Rust * Familiarity working with technologies like DBT ...

New

Research Engineer

Manhattan, NY · On-site

$175 - $225/hr

A strong understanding of quantitative finance and mathematics * Experience with linux-based, large ... Experience with low-level systems programming languages (C/C++, Rust, Zig) * Experience with ...

Senior Software Engineer, C++

Manhattan, NY · On-site

$159.85 - $228.36/hr

... C++, Rust, Python, Typescript Trading Strategies: * Implement trading algorithms based on requirements provided by traders and quants * Acquire and develop the necessary trading knowledge to ...

Research Engineer

New York, NY · On-site

$175K - $225K/yr

A strong understanding of quantitative finance and mathematics * Experience with linux-based, large ... Experience with low-level systems programming languages (C/C++, Rust, Zig) is a plus * Experience ...

Research Engineer

Manhattan, NY · On-site

$175 - $225/hr

A strong understanding of quantitative finance and mathematics * Experience with linux-based, large ... Experience with low-level systems programming languages (C/C++, Rust, Zig) is a plus * Experience ...

... C++, Rust, Python, Typescript Trading Strategies: * Implement trading algorithms based on requirements provided by traders and quants * Acquire and develop the necessary trading knowledge to ...

... C++, Rust, Python, Typescript Trading Strategies: * Implement trading algorithms based on requirements provided by traders and quants * Acquire and develop the necessary trading knowledge to ...

... C++, Rust, Python, Typescript Trading Strategies: * Implement trading algorithms based on requirements provided by traders and quants * Acquire and develop the necessary trading knowledge to ...

Showing results 41-60

Rust Quant information

What is a Rust quant?

A Rust Quant is a quantitative analyst or developer who specializes in using the Rust programming language to build financial models, trading algorithms, or risk management systems. Rust is valued in quantitative finance for its high performance, memory safety, and concurrency support, making it suitable for processing large volumes of financial data. Rust Quants typically work in hedge funds, investment banks, or fintech companies, where they design and implement efficient, reliable software to support trading and analytics. Their work often involves collaborating with data scientists, traders, and other engineers.

How does a Rust quant typically collaborate with other teams within a financial institution?

A Rust Quant often works closely with traders, data engineers, and risk analysts to develop and optimize quantitative models and trading algorithms. Collaboration involves translating financial strategies into efficient, production-ready Rust code, and ensuring that the models integrate seamlessly with existing systems. Regular communication is essential to clarify requirements, troubleshoot issues, and continuously improve performance. This cross-functional teamwork provides valuable exposure to different aspects of quantitative finance and fosters professional growth.

What are the key skills and qualifications needed to thrive as a Rust quant, and why are they important?

To thrive as a Rust Quant, you need a strong background in quantitative finance, advanced mathematics, and proficiency in the Rust programming language, often supported by degrees in math, physics, or computer science. Experience with statistical modeling libraries, version control systems like Git, and knowledge of financial data APIs are typically required. Analytical thinking, problem-solving abilities, and effective communication set top candidates apart in this role. These skills are crucial for developing reliable, high-performance trading algorithms and collaborating with interdisciplinary teams in fast-paced financial environments.

What is the difference between Rust Quant vs Quant Analyst?

AspectRust QuantQuant Analyst
Required CredentialsStrong programming skills, often with C++, Python, and Rust; advanced degrees in math, finance, or computer scienceDegree in finance, economics, or mathematics; certifications like CFA or FRM are common
Work EnvironmentTypically in tech-driven finance firms, hedge funds, or proprietary trading firms; focus on coding and model developmentUsually in investment banks, asset management firms, or hedge funds; focus on market analysis and strategy
Employer & Industry UsageUsed in quantitative trading, risk management, and algorithm developmentUsed in investment analysis, portfolio management, and risk assessment

Rust Quants focus on developing and implementing trading algorithms using programming skills, especially in Rust and related languages. Quant Analysts often analyze markets and develop financial models, with less emphasis on coding. While both roles require strong quantitative skills, Rust Quants are more technical and programming-oriented, whereas Quant Analysts focus more on financial analysis and strategy.

What job categories do people searching Rust Quant jobs in New York look for?

The top searched job categories for Rust Quant jobs in New York are:

What cities in New York are hiring for Rust Quant jobs?

Cities in New York with the most Rust Quant job openings:

Infographic showing various Rust Quant job openings in New York as of August 2026, with employment types broken down into 1% Internship, 94% Full Time, 2% Part Time, 2% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Full-time

Re-posted 29 days ago


Job description

Job Description
Software Engineer

New York (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, where technology sits at the heart of every investment decision. Engineers build the platforms, infrastructure, and systems that enable researchers, portfolio managers, and traders to operate at scale across global financial markets.

This is an opportunity to work on highly complex distributed systems, large-scale data platforms, and mission-critical applications that directly impact business performance. Engineers are given significant ownership and visibility, with their work supporting one of the largest internal user bases within the organisation.

What You'll Do

  • Design, build, and maintain large-scale software systems used across the investment lifecycle.

  • Develop high-performance trading and execution platforms.

  • Build research platforms and backtesting engines that enable quantitative research teams to test and deploy new ideas.

  • Create scalable data pipelines that process and analyse massive datasets.

  • Develop distributed computing infrastructure to support complex modelling and analytics workloads.

  • Partner closely with Quantitative Researchers, Quantitative Developers, and Portfolio Managers to solve challenging technical problems.

  • Continuously improve system reliability, performance, scalability, and developer productivity.

What You'll Have

  • Strong software engineering fundamentals, including system design, algorithms, and data structures.

  • Excellent programming skills in languages such as Python, Java, C++, C#, Go, Rust, or similar.

  • Experience building and operating scalable distributed systems.

  • Strong understanding of databases, data processing, and software architecture.

  • Ability to write clean, maintainable, and high-quality code.

  • Strong analytical and problem-solving abilities.

  • Excellent communication and collaboration skills.

Nice to Have

  • Experience building high-performance systems, data platforms, or cloud infrastructure.

  • Exposure to distributed computing, large-scale analytics, or machine learning systems.

  • Background in Computer Science, Engineering, Mathematics, Physics, or a related technical field.

  • Experience working in data-intensive or highly complex technical environments.

What's In It For You?

  • Work on business-critical systems with direct visibility across the organisation.

  • Solve some of the most challenging engineering problems at scale.

  • Collaborate with world-class engineers, researchers, and quantitative professionals.

  • Access to exceptional technology, data, and computing resources.

  • High levels of ownership and autonomy from day one.

  • Meritocratic environment where impact and technical excellence are rewarded.

  • Highly competitive compensation package with significant performance upside.

Interested in learning more? Contact Revive Recruitment for a confidential discussion.