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Crypto Quant Jobs (NOW HIRING)

Savoia Investments LLC

Quantitative Trader

We are also not hiring quant researchers, quant developers, or portfolio allocation quants. We are ... Crypto, spot or derivatives * FX * Fixed income and credit * OTC or non-US listed instruments

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Crypto Quant information

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$98K

$169.7K

$259.5K

How much do crypto quant jobs pay per year?

As of Sep 12, 2026, the average yearly pay for crypto quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a crypto quant?

A Crypto Quant, short for 'cryptocurrency quantitative analyst,' is a professional who uses mathematical models, statistical techniques, and computer programming to analyze cryptocurrency markets and develop trading strategies. These analysts often work for hedge funds, trading firms, or research institutions, applying quantitative methods to identify trends, manage risk, and optimize trading performance. Crypto Quants typically have backgrounds in mathematics, computer science, or finance, and are skilled in programming languages like Python or C++. Their work is essential for making data-driven decisions in the fast-paced and volatile crypto market.

What skills and qualifications are needed to thrive as a crypto quant?

To thrive as a Crypto Quant, you need a strong background in mathematics, statistics, programming (often Python or C++), and a relevant degree such as in quantitative finance, mathematics, or computer science. Familiarity with blockchain technology, algorithmic trading platforms, and data analysis tools like Pandas, NumPy, and data visualization libraries is crucial. Analytical thinking, attention to detail, and the ability to adapt quickly to volatile markets are standout soft skills in this role. These skills are essential to develop effective trading strategies, manage risk, and stay ahead in the rapidly evolving crypto markets.

What are common challenges faced by crypto quants when building trading models?

Crypto Quants often encounter unique challenges such as high market volatility, fragmented liquidity across multiple exchanges, and rapidly evolving market structures. Unlike traditional financial markets, crypto markets operate 24/7, requiring robust, real-time risk management and monitoring systems. Additionally, the lack of long-term historical data and frequent changes in regulations can make backtesting and model validation more complex. Collaborating closely with software engineers and traders is essential to ensure models are both technically sound and practically executable.

What is the difference between Crypto Quant vs Crypto Analyst?

AspectCrypto QuantCrypto Analyst
Required CredentialsDegree in finance, mathematics, or computer science; programming skills; certifications like CQF or CFADegree in finance, economics, or related field; strong analytical skills; certifications like CFA beneficial
Work EnvironmentQuantitative research teams, trading firms, hedge funds; focus on data modeling and algorithm developmentResearch teams, investment firms, media outlets; focus on market analysis and reporting
Employer & Industry UsageFinancial institutions, hedge funds, crypto trading firmsInvestment firms, media, research agencies, crypto companies

Crypto Quants primarily develop quantitative models and algorithms to inform trading strategies, often working with large datasets and programming. Crypto Analysts focus on analyzing market trends, providing insights, and reporting on cryptocurrency markets. While both roles require strong analytical skills and knowledge of cryptocurrencies, Quants are more technical and data-driven, whereas Analysts focus on market interpretation and communication.

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Crypto Quant jobs near you
Infographic showing various Crypto Quant job openings in the United States as of September 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Gauntlet - Quantitative Software Engineer

New York, NY • On-site, Remote

De Circle
See more jobs at De Circleexternal

Full-time

Medical, Dental, Vision, PTO

Re-posted 21 days ago

Job description

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL.
Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution - including academic institutions - in terms of peer-reviewed papers addressing DeFi as a subject. We're a Series B company with around 75 employees, operating remote-first with a home base in New York City.
Our mission is to drive adoption and understanding in the financial systems of the future. The unique challenges of decentralized systems call for innovative approaches in mechanism design, smart contract development, and financial product utilization. Gauntlet leads in advancing this knowledge, ensuring safe progression through the evolving landscape of financial innovation.
We are seeking highly skilled and motivated Quantitative Software Engineers to join our team. The ideal candidate possesses strong statistical and engineering skills, a passion for problem-solving, and the ability to work effectively in a fast-paced and collaborative environment.
Responsibilities:
  • Designing and implementing strategies for managing risk and optimizing DeFi protocols using quantitative models, simulations, and machine learning.
  • Develop tools and engines for parameter recommendations and drive impact to protocols.
  • Own the whole lifecycle of protocol integrations, including building data pipelines, working closely with cross-functional teams to define the data requirements and product offering.
  • Architect and refine data models and structures to support the evolving needs of DeFi analytics, simulations, methodologies and research development.
  • Contribute to making our core modeling platform world-class.
  • Maintain up-to-date knowledge of the latest industry trends, technologies, and techniques in software engineering.
  • Optimize Aera guardian logic to improve risk-adjusted yields, trade execution quality, and capital efficiency of strategies such as Protocol-Owned Liquidity for Aera Vaults.
  • Collaborate with other cross-functional teams, including internal and external teams
  • Stay current with the latest industry trends, market risk vectors, and market conditions to ensure that Aera strategies stay on the cutting edge of crypto and DeFi innovation.

Bonus Points:
  • Contribute to the forefront of DeFi economic understanding and optimization.
  • Work on projects that value deep research, quality, and practical outcomes.
  • Collaborate with a team committed to defining future financial systems.
  • Master's or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields is a plus.

Benefits and Perks
  • Remote first - work from anywhere in the US & CAN!
  • Competitive packages with the added opportunity for incentive-based compensation
  • Regular in-person company retreats and cross-country "office visit" perk
  • 100% paid medical, dental and vision premiums for employees
  • Laptop provided
  • $1,000 WFH stipend upon joining
  • $100 per month reimbursement for fitness-related expenses
  • Monthly reimbursement for home internet, phone, and cellular data
  • Unlimited vacation policy
  • 100% paid parental leave of 12 weeks
  • Fertility benefits

Qualifications
  • Minimum 4 years of direct hands-on experience trading or analyzing financial markets (crypto or traditional) professionally.
  • Experience developing statistical or quantitative models for financial markets.
  • Understanding of blockchain and DeFi protocols, concepts, and best practices (or a strong desire to learn).
  • Proficient at writing code in Python and SQL with a solid understanding of software engineering principles.
  • Knowledge of workflow orchestration (e.g., Dagster, Airflow) and distributed data processing technologies (Spark).
  • Excellent understanding of statistical modeling, machine learning, and optimization algorithms.
  • Experience with scientific computing packages such as Numpy/Scipy, Pandas, etc.
  • Ability to quickly internalize abstract concepts in new domains, coupled with strong problem-solving skills and attention to detail.
  • Ability to work independently and within a team, manage multiple projects, and meet deadlines.
  • Strong communication skills and the ability to work collaboratively in a distributed team environment.

Apply