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Rust Quant Jobs in Washington, DC (NOW HIRING)

Senior Software Engineer

Rockville, MD · On-site

$180 - $240/hr

Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field. * 12 ... Rust, Go, Python, TypeScript, Django. * Familiarity with Azure/C2S, hardware platforms, and ...

Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Software ... Familiarity with Rust, Go, Python, TypeScript, Django. Core Competencies Demonstrates expertise in ...

Senior Software Engineer

Alexandria, VA · Hybrid

$131K - $237K/yr

What You Bring: * Bachelor's, Master's, or equivalent graduate degree in a quantitative or ... Preferred Languages * Rust * Go * Python * TypeScript * Django Preferred Qualifications:

Senior Software Engineer

Rockville, MD · Hybrid

$131K - $237K/yr

What You Bring: * Bachelor's, Master's, or equivalent graduate degree in a quantitative or ... Preferred Languages * Rust * Go * Python * TypeScript * Django Preferred Qualifications:

Senior Software Engineer

Rockville, MD · On-site

$131K - $237K/yr

What You Bring: * Bachelor's, Master's, or equivalent graduate degree in a quantitative or ... Preferred Languages * Rust * Go * Python * TypeScript * Django Preferred Qualifications:

Senior GraphQL Devops Engineer

Bethesda, MD · On-site

$138K - $178K/yr

Experience with Rust or other emerging web technologies and frameworks. * Experience collaborating ... Performs complex quantitative and qualitative analyses for service delivery processes and projects.

Rust Quant information

See Washington, DC salary details

$111K

$192.2K

$293.9K

How much do rust quant jobs pay per year?

As of Aug 12, 2026, the average yearly pay for rust quant in Washington, DC is $192,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $152,300.00 and $225,400.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Rust Quant jobs in Washington, DC? For Rust Quant jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Rust Quant jobs in Washington, DC look for? The top searched job categories for Rust Quant jobs in Washington, DC are:

Senior Software Engineer

Jobtailor

Rockville, MD • On-site

$180 - $240/hr

Other

Posted 7 days ago


Job description

Responsibilities
  • Support the development of distributed backend services, APIs, and platform microservices supporting enterprise AI operations.
  • Collaborate with multidisciplinary teams of analysts, engineers, and developers.
  • Apply cutting‑edge techniques in statistical analysis, predictive analytics, and more.
  • Contribute to the integration of software development, AI, DevSecOps, data engineering, and more in a fast‑paced environment.
Requirements
  • Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field.
  • 12+ years of experience in software engineering, data science, analytics, or quantitative intelligence analysis.
  • Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
  • Demonstrated experience collaborating with hybrid teams.
  • Ability to analyze and assess software development or data acquisition requirements.
  • Experience with Backend microservices, distributed systems, API development, event‑driven architectures, Kubernetes‑native application development, and cloud‑native engineering.
  • Preferred languages: Rust, Go, Python, TypeScript, Django.
  • Familiarity with Azure/C2S, hardware platforms, and advanced analytical methodologies.
Core Competencies

Demonstrates expertise in developing distributed backend services, APIs, and microservices for enterprise AI operations, with a strong foundation in statistical analysis and predictive analytics. Proven ability to collaborate effectively within multidisciplinary teams and adapt to fast‑paced environments.

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