Quantitative Software Engineer: Applied Research
Gauntlet
This job is no longer accepting applications
See open jobs at Gauntlet.See open jobs similar to "Quantitative Software Engineer: Applied Research" Coinbase.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
This job is no longer accepting applications
See open jobs at Gauntlet.See open jobs similar to "Quantitative Software Engineer: Applied Research" Coinbase.