Quantitative Software Engineer
Description For Quantitative Software Engineer
Gauntlet, a leading force in DeFi economics and risk management, is seeking a Quantitative Software Engineer to join their innovative team. As a Series B company with approximately 75 employees, Gauntlet manages risk and incentives covering over $42 billion in customer TVL as of April 2025.
The role combines software engineering expertise with quantitative analysis, focusing on developing and implementing strategies for managing risk and optimizing DeFi protocols. You'll be working with cutting-edge technology in the blockchain and DeFi space, using Python, SQL, and various statistical modeling tools to build robust solutions.
The ideal candidate brings 4+ years of experience in financial markets analysis or trading, along with strong programming skills and a deep understanding of statistical modeling. You'll be responsible for the entire lifecycle of protocol integrations, from building data pipelines to optimizing risk-adjusted yields and trading execution quality.
Working in a remote-first environment, you'll collaborate with cross-functional teams while enjoying competitive compensation ($150,000 - $205,000 base plus equity) and comprehensive benefits. This is an opportunity to contribute to the forefront of DeFi economic understanding and optimization, working with a team that values deep research and practical outcomes.
The position offers significant growth potential in a rapidly evolving industry, with the chance to work on projects that directly impact the future of financial systems. Gauntlet's commitment to innovation is evident in their status as one of the most cited institutions in peer-reviewed papers addressing DeFi.
This role is perfect for someone who combines technical expertise with financial market knowledge and wants to be part of shaping the future of decentralized finance. The company's remote-first culture, comprehensive benefits package, and focus on work-life balance make it an attractive opportunity for talented professionals looking to make a significant impact in the DeFi space.
Responsibilities For Quantitative Software Engineer
- Design and implement strategies for managing risk and optimizing DeFi protocols using quantitative models, simulations, and machine learning
- Develop tools and engines for parameter recommendations
- Own protocol integrations lifecycle, including building data pipelines
- Architect and refine data models and structures
- Contribute to core modeling platform
- Optimize Aera guardian logic for risk-adjusted yields
- Collaborate with cross-functional teams
- Stay current with industry trends and market conditions
Requirements For Quantitative Software Engineer
- Minimum 4 years of direct hands-on experience trading or analyzing financial markets
- Experience developing statistical or quantitative models for financial markets
- Understanding of blockchain and DeFi protocols
- Proficient at writing code in Python and SQL
- Knowledge of workflow orchestration and distributed data processing technologies
- Excellent understanding of statistical modeling, machine learning, and optimization algorithms
- Experience with scientific computing packages (Numpy/Scipy, Pandas)
- Strong problem-solving skills and attention to detail
- Strong communication skills
Benefits For Quantitative Software Engineer
- Remote first - work from anywhere in the US & CAN
- Competitive packages with incentive-based compensation
- Regular in-person company retreats
- 100% paid medical, dental and vision premiums
- Laptop provided
- $1,500 WFH stipend
- $100 monthly fitness expense reimbursement
- Monthly reimbursement for home internet, phone, and cellular data
- Unlimited vacation policy
- 12 weeks paid parental leave
- Fertility benefits
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