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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Gauntlet - Quantitative Software Engineer - **Company:** The Gauntlet Corporation - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Airflow, Distributed Computing Environment, Python (Programming Language), Machine Learning, NumPy, Blockchain, Scientific Computating, SciPy, Software Engineering, SQL Databases, Workflow Management Systems, Apache Spark, Pandas, Information Technology, Optimization Algorithms, Software Coding, Data Pipelines - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/gauntlet-quantitative-software-engineer-decircle-8349813 ## About the Role 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., * 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. ## 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. 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. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Quantum DevOps - Quantum Application Development](https://www.wearedevelopers.com/videos/1441-quantum-devops-quantum-application-development) - [Vectorize all the things! 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