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Rust Quant Jobs in Oregon (NOW HIRING)

OR · On-site

$100K - $250K/yr

Strong programming ability with hands-on experience in C++ or Rust (Python acceptable for research). * STEM degree from a top university or equivalent practical experience in quantitative trading or ...

OR · On-site

A stickler for metrics and quantitative, if not, qualitative measure of progress, launch success ... JavaScript, TypeScript, Python, Java, Golang, Rust, Ruby, C#, C/C++, or PostgreSQL. * Strong ...

Rust Quant information

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.

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 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.

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 Oregon? For Rust Quant jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Rust Quant jobs? Cities in Oregon with the most Rust Quant job openings:

HFT Trader/Market Maker (New York/Taipei/ Remote)

Anti Capital

On-site

$100K - $250K/yr

Full-time

PTO

Posted 10 days ago


Job description

We are a leading full-stack, high-frequency proprietary trading firm strategically located in New York and Taipei. Our company is equipped with a proprietary, latency-sensitive trading system, state-of-the-art trading algorithms, and a highly efficient execution platform designed to optimize trading strategies across various asset classes. Moreover, we maintain comprehensive access to major exchanges worldwide, allowing us to execute complex trades efficiently and at scale. This global reach, combined with our technological expertise, positions us at the forefront of the financial trading industry.


About the Role:

In this role, you will apply quantitative research, statistical modeling, and execution-focused engineering to identify and capture trading opportunities across crypto markets. You will work directly with live market data, design and deploy automated trading strategies, and take ownership of strategy performance and P&L outcomes.

Responsibilities:

  • Conduct in-depth research on centralized exchange (CEX) and decentralized exchange (DEX) market data, including order books, trade flows, and on-chain signals.
  • Design, implement, and deploy algorithmic trading strategies into live production environments.
  • Own strategy lifecycle from research to execution, including continuous iteration based on live P&L and risk performance.
  • Expand automated trading systems into new crypto products, venues, and liquidity pools; optimize execution quality and capital efficiency.
  • Monitor and report daily market conditions, portfolio exposure, risk metrics, and P&L performance.
  • Perform post-trade analysis to evaluate strategy effectiveness, identify inefficiencies, and improve risk-adjusted returns.
  • Collaborate with engineering and trading teams to enhance infrastructure, latency, and execution systems.

Requirements:
  • Proven track record of developing and deploying profitable trading strategies in crypto markets.
  • Demonstrated history of building trading strategies from 0-1, with measurable P&L outcomes or strong performance evidence.
  • Strong understanding of crypto market structure, including CEX/DEX mechanics, liquidity behavior, and volatility dynamics.
  • Experience with short-horizon, high-frequency, high-turnover trading strategies.
  • Strong programming ability with hands-on experience in C++ or Rust (Python acceptable for research).
  • STEM degree from a top university or equivalent practical experience in quantitative trading or systems development.


General Requirements:

  • This role can be remote or based in our New York or Taipei offices. Candidates may work fully remote or in a hybrid/on-site setup depending on preference and team alignment.
  • Candidates should expect 2–3 rounds of coding tests, each lasting 2–3 hours.
  • Excellent written and spoken English, any other languages will be a plus.


Benefits:

  • Highly competitive salary
  • Semi-annual discretionary bonus
  • Relocation assistance if needed
  • Dedicated mentors to accelerate your growth
  • Fully stocked kitchen
  • Unlimited sick days
  • Friendly start-up working environment
  • 20 days of PTO on an accrual basis
  • Team lunch / dinner
  • Gym subsidy
  • Breakfast catering 
  • Opportunity to visit and work from our global offices

(For NYC candidates, 100,000 - 250,000 USD per year)

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