Quantitative Jobs in Web3

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Job Position Company Posted Location Salary Tags

Gauntlet

New York, NY, United States

$160k - $200k

Stealth

New York, NY, United States

$140k - $150k

Paradex

New York, NY, United States

$72k - $77k

Paradigm

New York, NY, United States

$89k - $100k

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Panama City, Panama

$89k - $102k

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Jakarta, Indonesia

$89k - $102k

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Casablanca, Morocco

$89k - $102k

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Cairo, Egypt

$89k - $102k

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Remote

$89k - $102k

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Remote

$89k - $102k

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Bratislava

$89k - $102k

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Lagos, Nigeria

$89k - $102k

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Mumbai, India

$89k - $102k

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Manila, Philippines

$89k - $102k

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Remote

$89k - $102k

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Kuala Lumpur, Malaysia

$89k - $102k

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Karachi, Pakistan

$89k - $102k

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Istanbul, Turkey

$89k - $102k

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Islamabad, Pakistan

$89k - $102k

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Hyderabad, India

$89k - $102k

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Ho Chi Minh

$89k - $102k

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Hanoi, Vietnam

$89k - $102k

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Delhi, India

$89k - $102k

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Bucharest, Romania

$89k - $102k

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Remote

$89k - $102k

Gauntlet
$160k - $200k
New York City Metropolitan Area US
Apply

Gauntlet is a leader in quantitative research and DeFi economics optimization, specializing in risk management, growth facilitation, and ensuring the economic robustness of key DeFi protocols. Managing over $13 billion in customer TVL as of January 2024, our efforts are vital to the industry's leading protocols.

We are known for our significant research contributions, paralleling the impact of top academic institutions in DeFi. As a Series B company with a 60-member team, we operate on a remote-first basis from 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 a highly skilled and motivated Quantitative Software Engineer to join our team. The ideal candidate is one who possesses strong statistical and engineering skills, has a passion for problem-solving, and be able 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


Qualifications

  • 5+ years of professional engineering experience, preferably within the financial services and quant trading.
  • 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


Bonus Points

  • Experience working in the crypto industry is a plus
  • Enthusiasm for the space, especially DeFi, is very much desired
  • Master‚Äôs or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields is a plus
  • Smart contract development experience (e.g. Solidity)
  • Published or presented research in the space


Benefits and Perks

  • Remote first - work from anywhere in the US & CAN!
  • Regular in-person company retreats and cross-country "office visit" perk
  • 100% paid medical, dental and vision premiums for employees
  • Laptop, monitor, keyboard and mouse setup provided
  • $1,000 WFH stipend
  • Monthly reimbursement for home internet, phone, and cellular data
  • Unlimited vacation
  • 100% paid parental leave of 12 weeks
  • Fertility benefits
  • Opportunity for incentive compensation


Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.

The national pay range for this role is $160,000 - $200,000 base plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.

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What is a quantitative career?

A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology

A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications

Some examples of quantitative careers include:

  1. Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
  2. Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
  3. Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
  4. Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
  5. Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.