Overview
Quantitative Analyst Jobs in United States at hydra fund
Title: Quantitative Analyst
Company: hydra fund
Location: United States
Company Description Hydra Fund is the world’s first AI-native investment fund, built from the ground up to integrate advanced machine learning and quantitative research into every stage of the investment process. The firm leverages large-scale data, automated research pipelines, and algorithmic decision-making to identify and capture differentiated market opportunities. Team members collaborate closely with technologists and data scientists to design scalable, research-driven strategies. Hydra Fund offers a fully remote, high-impact environment for professionals who want to work at the intersection of finance, AI, and quantitative research.
Role Description As a Quantitative Analyst at Hydra Fund, you will design, test, and implement quantitative models that support trading, portfolio construction, and risk management in a fully remote, full-time capacity. You will work with large, complex datasets to develop predictive signals, backtest strategies, and evaluate model performance. Day-to-day responsibilities include conducting statistical analysis, building and refining risk and pricing models, and collaborating with engineering teams to productionize research. You will help monitor model behavior in live environments, investigate anomalies, and continuously improve tools and methodologies. The role involves close collaboration with other quants, data scientists, and investment professionals to ensure research is rigorous, explainable, and aligned with the fund’s AI-native approach.
Qualifications
- Strong foundation in quantitative disciplines, including Statistics and Mathematics, with the ability to apply these methods to real-world financial data.
- Experience in Quantitative Analytics, including model development, backtesting, and performance evaluation for trading or investment strategies.
- Knowledge of Market Risk concepts and tools, with the capability to assess, quantify, and report portfolio risks.
- Proven Analytical Skills, including data exploration, hypothesis testing, and clear communication of findings to technical and non-technical audiences.
- Proficiency in at least one programming language commonly used in quantitative finance (e.g., Python, R, or MATLAB) and familiarity with data manipulation and visualization libraries.
- Advanced degree in a quantitative field such as Statistics, Mathematics, Physics, Engineering, Computer Science, or a related discipline, or equivalent practical experience.
- Ability to work effectively in a remote, distributed team environment, manage priorities, and deliver high-quality work with minimal supervision.
- Experience with machine learning techniques, financial markets, or algorithmic trading is a plus.
- Previous work experience is an extra, can really help in this application
- We prefer people at top of their field, such as MITians, Harvard alums, etc are welcome