Quantitative Software Engineer: Aera

New York City / San Francisco / Los Angeles / Remote
Engineering /
Full Time /
Remote
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.

About Aera

Aera is a non-custodial, autonomous, on-chain asset management protocol that Gauntlet helped develop. Currently, Aera is focused on providing customizable, optimized treasury management solutions for DAOs. Gauntlet acts as the guardian for several core Aera strategies.

Responsibilities

    • Build, test, and operate quantitative on-chain capital allocation strategies that leverage the Aera protocol.
    • Optimize Aera guardian logic to improve risk-adjust yields, trade execution quality, and capital efficiency of strategies such as Protocol Owned Liquidity for Aera Vaults.
    • Collaborate with other cross-functional teams, including both internal and external teams, to develop new features for Aera and Gauntlet’s Protocol Optimization business.
    • 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.

Qualifications

    • Minimum 3 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 production-quality code in Python.
    • Strong communication skills (especially written) and the ability to work collaboratively in a distributed team environment.
    • Excellent problem-solving and analytical skills
    • Ability to work independently and within a team, manage multiple projects, and meet deadlines.

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.

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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