Quantitative Software Engineer

This is a fully remote position, open to applicants in New York.

📋 Description

• Crafting and executing strategies for risk management and optimization of DeFi protocols through the use of quantitative models, simulations, and machine learning techniques.

• Create tools and engines that provide parameter recommendations and significantly impact protocols.

• Oversee the entire lifecycle of protocol integrations, which includes constructing data pipelines and collaborating closely with cross-functional teams to establish data requirements and product offerings.

• Design and enhance data models and structures to accommodate the changing demands of DeFi analytics, simulations, methodologies, and research advancements.

• Play a key role in elevating our core modeling platform to a world-class standard.

• Keep abreast of the latest industry trends, technologies, and techniques in software engineering.

• Enhance Aera guardian logic to boost risk-adjusted yields, improve trade execution quality, and increase the capital efficiency of strategies such as Protocol-Owned Liquidity for Aera Vaults.

• Collaborate with various cross-functional teams, both internal and external.

• Remain updated on current industry trends, market risk factors, and market conditions to ensure that Aera strategies remain at the forefront of crypto and DeFi innovation.

⛳️ Requirements

• At least 4 years of direct, hands-on experience in trading or analyzing financial markets (whether crypto or traditional) in a professional capacity.

• Proven experience in developing statistical or quantitative models for financial markets.

• Familiarity with blockchain and DeFi protocols, concepts, and best practices (or a strong eagerness to learn).

• Skilled in coding with Python and SQL, with a solid grasp of software engineering principles.

• Knowledge of workflow orchestration tools (e.g., Dagster, Airflow) and distributed data processing technologies (like Spark).

• Strong understanding of statistical modeling, machine learning, and optimization algorithms.

• Proficient with scientific computing packages such as Numpy/Scipy, Pandas, etc.

• Capable of quickly assimilating abstract concepts in new areas, combined with strong problem-solving abilities and meticulous attention to detail.

• Able to work autonomously and as part of a team, manage multiple projects, and adhere to deadlines.

• Excellent communication skills and the ability to collaborate effectively in a distributed team environment.

🏝️ Benefits

• Remote-first - work from anywhere within the US & CAN!

• Competitive compensation packages with the potential for incentive-based pay.

• Regular in-person company retreats and cross-country "office visit" perks.

• 100% coverage of medical, dental, and vision premiums for employees.

• A laptop is provided.

• $1,000 work-from-home stipend upon joining.

• $100 monthly reimbursement for fitness-related expenses.

• Monthly reimbursements for home internet, phone, and cellular data.

• Unlimited vacation policy.

• 100% paid parental leave for 12 weeks.

• Fertility benefits.