Quantitative Analyst Summer Intern

Quantitative Analyst Summer Intern Location: Irvine, California About the Role At Devz.AI, located in Irvine, California, Quantitative Analyst Summer Interns will have the opportunity to research, develop, and assist in the implementation of systematic, data-driven trading and investment models across equities and macro strategies. Over the course of the summer program, you will work closely with senior analysts and researchers on projects focused on automated trading strategies, quantitative research, and risk modeling using advanced mathematics, machine learning, and large-scale data analysis. This internship is designed to provide hands-on experience in a fast-paced environment, where your work will directly contribute to the firm's investment processes and research initiatives. Key Responsibilities Model Development & Research Assist in conceptualizing, designing, building, and refining mathematical and machine learning models to identify trading signals and investment opportunities. Support the development of systematic models for equities, risk modeling, or broader quantitative strategies under the mentorship of senior team members. Data Analysis Analyze extensive, complex, high-frequency, and alternative datasets to help validate hypotheses and predict market behavior. Apply statistical, econometric, and quantitative techniques to extract actionable insights from large datasets. Strategy Implementation Support Contribute to coding, back-testing, and supporting the deployment of automated trading algorithms and systematic strategies. Help translate quantitative research into actionable trading, investment, or portfolio construction strategies. Strategy & System Enhancement Monitor model performance and market feedback to learn how strategies and risk management are continuously improved. Assist in refining existing models to ensure performance stability and scalability. Collaboration Work closely with portfolio managers, traders, researchers, and engineers to understand and improve trading performance and investment processes. Communicate research findings and project outcomes clearly to both technical and non-technical stakeholders. Required Skills and Qualifications Education Currently pursuing a Bachelor’s, Master’s, or PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field. Expected graduation date within the next 1-2 years. Technical Expertise Strong proficiency in programming languages such as Python, C++, R, or Julia for research and development. Solid foundation in probability, statistics, econometrics, machine learning, and time-series analysis. Experience with or strong interest in working with data management systems and large-scale datasets. Financial & Analytical Skills Demonstrated interest in financial markets, asset classes, and risk models (prior finance experience is a plus but not strictly required). Strong problem-solving ability, with a passion for applying quantitative methods to complex problems. Mindset & Communication Intellectually curious with a strong bias for action and a desire to make an impact. Ability to communicate complex technical research clearly to non-technical audiences. Collaborative, analytical, and detail-oriented team player. Proficiency in Mandarin is preferred. Working at Devz.AI Culture Devz.AI values radical truth and radical transparency, encouraging rigorous thinking, honest debate, and direct communication. Environment Fast-paced, research-driven, and impact-focused. Small, collaborative teams that peer-review, iterate rapidly, and reward merit over hierarchy. An opportunity to work on projects that directly influence trading performance and firm profitability (P&L).