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Crypto Quant Jobs (NOW HIRING)

FalconX

Core Quantitative Developer

New York, NY · On-site

$213K - $240K/yr

... crypto industry trends and market movements. With your experience, you will shape our company's trading strategies according to our core values - speed, transparency and trust. As a core quant ...

Unchain Data

Build quantitative risk models for perpetuals and commodity derivatives, covering margin ... crypto derivatives, or other non-traditional asset classes where standard risk frameworks needed to ...

FalconX

Core Quantitative Developer

New York, NY · On-site

$213K - $240K/yr

... crypto industry trends and market movements. With your experience, you will shape our company's trading strategies according to our core values - speed, transparency and trust. As a core quant ...

Polymarket

Quant Risk Analyst

New York, NY · On-site

$100K - $150K/yr

Build quantitative risk models for perpetuals and commodity derivatives, covering margin ... crypto derivatives, or other non-traditional asset classes where standard risk frameworks needed to ...

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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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Cities with the most Crypto Quant job openings:

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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.

Core Quantitative Developer

New York, NY • On-site

FalconX
See more jobs at FalconXexternal

$213K - $240K/yr

Full-time

Posted 18 days ago

Job description

Impact 

At FalconX, you'll help make crypto assets a successful asset class. Some of the largest financial institutions from Wall Street to Silicon Valley and around the world will turn to you for the best market prices and insights on the crypto industry. You will become the expert on crypto industry trends and market movements. With your experience, you will shape our company's trading strategies according to our core values - speed, transparency and trust. 

As a core quant developer you'll: 

As a Quant Developer you'll be focused on end to end ownership of electronic products and services. You will play a critical role in developing models and strategies to manage and mitigate financial risks associated with complex trading. You will work closely with cross-functional teams to ensure robust risk management frameworks are in place.You will ensure the pricing and risk management framework of our electronic products are up to the highest standards.

Key Responsibilities
  • Model Development: Design and implement quantitative models to assess and manage financial risks, including market, credit, and operational risks.
  • Pricing and Risk Pipeline development: Conduct comprehensive risk assessments of our electronic pricing pipelines and scenario analyses to identify potential vulnerabilities and develop mitigation strategies.
  • Data Analysis: Utilize advanced statistical techniques and machine learning algorithms to analyze large datasets and extract actionable insights.
  • Collaboration: Work closely with traders, product managers, and other researchers to integrate risk management solutions into trading strategies.
Qualifications
  • Advanced Degree: Master's or Ph.D. in Mathematics, Statistics, Finance, or a related field.
  • Technical Proficiency:
    • Strong experience with programming languages such as Python, R, or MATLAB.
    • Familiarity with financial instruments, derivatives, and risk management frameworks.
  • Analytical Skills: Strong problem-solving skills with a focus on delivering high-quality research and insights.
  • Communication: Excellent communication skills with a collaborative mindset and attention to detail.
  • Adaptability: Ability to thrive in a fast-paced, agile environment and adapt to changing priorities.
Bonus Criteria
  • Experience with exotic products
  • Experience with infrastructure systems. 
  • Experience managing risk
  • Experience with numerical methods and optimization 
  • Experience with React 

The base pay for this role is expected to be between $213,000 and $240,000 in the New York City Area. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance linked bonus, equity, and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as location, skillset, experience, qualifications and the level at which the candidate is hired.

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