Quantitative Software Engineer: Applied Research @ Gauntlet Networks

Software Engineering (1)

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’s 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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Quantitative Software Engineer: Applied Research

Gauntlet Networks

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