Quantitative Software Engineer

Job not on LinkedIn

🕒 May 18

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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1 - 10 employees

Founded 2019

We partner with disruptive organizations to help identify and attract talent. A boutique recruitment agency that focuses on blockchain and web3. We enjoy networking with Web3 and decentralization enthusiasts and help them find their place in the decentralized world.

📋 Description

• 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. • 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.

🎯 Requirements

• 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.

🏖️ 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 • $1,000 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