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Entry Level Crypto Quant Jobs (NOW HIRING)

Entry Level Crypto Quant information

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$98K

$169.7K

$259.5K

How much do entry level crypto quant jobs pay per year?

As of May 28, 2026, the average yearly pay for entry level 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 the difference between Entry Level Crypto Quant vs Entry Level Data Analyst?

AspectEntry Level Crypto QuantEntry Level Data Analyst
Required CredentialsDegree in finance, mathematics, or computer science; knowledge of crypto marketsDegree in statistics, economics, or related field; proficiency in data tools
Work EnvironmentFinancial firms, crypto exchanges, hedge fundsCorporations, consulting firms, tech companies
Industry UsageCrypto trading, quantitative researchBusiness insights, reporting, data visualization
Common Search IntentCrypto quant roles, crypto trading strategiesData analysis jobs, business intelligence

Entry Level Crypto Quants focus on applying quantitative methods to cryptocurrency markets, often requiring finance and math skills. Entry Level Data Analysts work across various industries analyzing data to support business decisions. While both roles involve data skills, crypto quants specialize in financial modeling within the crypto space, whereas data analysts have a broader business focus.

More about Entry Level Crypto Quant jobs
What cities are hiring for Entry Level Crypto Quant jobs? Cities with the most Entry Level Crypto Quant job openings:
What are the most commonly searched types of Crypto Quant jobs? The most popular types of Crypto Quant jobs are:

Software Engineer - Trading System Developer

XTX Markets

New York, NY • Hybrid

$250/day

Other

Medical, Retirement

Posted 14 days ago


Job description

The Firm

XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani.

We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures.

XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities.

At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do.

The Role


The OTC Trading Development team is currently looking to hire an experienced developer focused on trading system development.

The Team:

  • Architects, implements and maintains a diverse set of trading systems: whilst ETFs will be the immediate focus for this position, the team works to build a wide range of systems which span prop trading on venue and OTC liquidity provision platforms across other asset classes (primarily Equities, FX and Crypto).
  • Receives reference implementations of models from quants, hard control requirements from Risk and Compliance, and system ergonomics requests from Trading Analysts, often working closely with those teams to find the best direction.
  • Is highly autonomous in how we work, maximising safety and velocity. We build and maintain multiple trading systems with a fraction of the headcount of our competitors, so it's critical we can eliminate bureaucracy.
  • This will be the team's first hire in New York. This role will involve working on our ETF trading system. The role will require close platform with stakeholders to the system in NYC e.g. Business Development, as well as with OTC's developers in London.
  • There are no out-of-hours support responsibilities involved in this role.
  • There may be an occasional requirement for travel to our London offices.

The Technology:
 

  • Consists of high-performance trading venue integrations, fair value generation, trading algorithms, risk controls and real time UIs implemented from business requirements.
  • Is predominantly implemented in Kotlin, with limited amounts of C++. Older parts of the codebase may use Python or Java; this is a decreasing minority.
  • Is tailored to a wide range of latency and throughput requirements. Where necessary we use a thread-per-core architecture, implement large parts of the network stack and integrate with network card APIs directly.

Attributes

Someone that would be an excellent fit:

  • Is an experienced coder, with a solid understanding of Computer Science fundamentals.
  • Has several years of experience working in Kotlin or other object-oriented languages like Java, C++, or C#.
  • Knows how to build technology quickly and safely using a variety of testing methods.
  • Unblocks the team with code reviews that prioritise correctness over style preferences.
  • Has experience in systems with requirements of microseconds per request or gigabits per second per thread.
  • A well-founded understanding of ETFs is desirable, though we are open to candidates with any domain knowledge, experience or evidence of interest within finance.


Benefits

  • Extensive medical and wellness benefits including gym membership.
  • Breakfast and lunch provided daily.
  • Beautiful Hudson Yards office.
  • 25 days paid holiday per year + statutory holiday and paid sick days.
  • Generous 401k contributions.
  • We work 4 days per week in the office, 1 from home unless stated otherwise.


The base salary range for this role is between $200,000 to $300,000 depending on relevant job-related skills and experience. You will be eligible for participation in a discretionary annual performance bonus scheme and will enjoy a comprehensive package of benefits. All bonuses, benefits, and any sign-on payments are in addition to the base salary range stated.