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Company

Gauntlet · 6 hours ago

Quantitative Software Engineer: Gauntlet

NYC Metro Area

Full-time

Remote

Mid Level

$160K/yr - $200K/yr

4+ years exp

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BlockchainCryptocurrency

H1B Sponsor Likely

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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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Financial markets analysisStatistical models developmentPython programmingStatistical modelingMachine learningBlockchain understandingSQL proficiencyWorkflow orchestrationDistributed data processingOptimization algorithmsScientific computing packagesTeamwork ability

Required

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

Preferred

Master’s or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields

Benefits

Remote first - work from anywhere in the US & CAN!

Competitive packages with the added opportunity for incentive-based compensation

Regular in-person company retreats and cross-country "office visit" perk

100% paid medical, dental and vision premiums for employees

Laptop provided

$1,600 WFH stipend upon joining

$100 per month reimbursement for fitness-related expenses

Monthly reimbursement for home internet, phone, and cellular data

Unlimited vacation policy

100% paid parental leave of 12 weeks

Fertility benefits

Company

Gauntlet

Solving DeFi's most complex economic problems to drive adoption and understanding of the financial systems of the future

Founded in 2018

New York, New York, USA

51-200 employees

https://www.gauntlet.xyz

H1B Sponsorship

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2023 (5)

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2020 (2)