Quantitative Software Engineer: Strategic Risk Optimization Specialist
4 days ago
Company Overview
Gauntlet is a leading company in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi.
We have developed cutting-edge research that informs our risk models, alerts, and analysis, and are among the most cited institutions - including academic institutions - in terms of peer-reviewed papers addressing DeFi as a subject.
We're a Series B company with around 75 employees, operating remote-first with a home base in New York City.
Salary
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.
Job Description
Overview
We are seeking highly skilled and motivated Quantitative Software Engineers to join our team. The ideal candidate possesses strong statistical and engineering skills, a passion for problem-solving, and the ability 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.
- Optimize Aera guardian logic to improve risk-adjusted yields, trade execution quality, and capital efficiency of strategies such as Protocol-Owned Liquidity for Aera Vaults.
- Collaborate with other cross-functional teams, including 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 4 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 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
- 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.
- Master's or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields is a plus.
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