Quantitative Analyst

About the Role

At YUSI, Quantitative Analysts research, develop, and implement systematic, data-driven trading and investment models across equities and macro strategies. This role focuses on automated trading strategies, quantitative research, and risk modeling using advanced mathematics, machine learning, and large-scale data analysis. The work directly contributes to investment performance, market‑making activities, and firm profitability (P&L).

• Conceptualize, design, build, and refine mathematical and machine learning models to identify trading signals and investment opportunities.
• Develop systematic models for equities, risk modeling, or broader quantitative strategies.

• Analyze extensive, complex, high‑frequency, and alternative datasets to validate hypotheses and predict market behavior.
• Apply statistical, econometric, and quantitative techniques to extract actionable insights from large datasets.

• Code, back‑test, and support the deployment of automated trading algorithms and systematic strategies into live production environments.
• Translate quantitative research into actionable trading, investment, or portfolio construction strategies.

• Monitor model performance, market feedback, and risk exposure to continuously improve strategies and risk management.
• Refine and enhance existing models to ensure performance stability, scalability, and alignment with evolving market conditions.

• Work closely with portfolio managers, traders, researchers, and engineers to improve trading performance and investment processes.
• Communicate research findings and model insights clearly to both technical and non‑technical stakeholders.

• Advanced degree (Master’s or PhD) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field.

• Strong proficiency in programming languages such as Python, C, R, or Julia for research and production‑level development.
• Advanced knowledge of probability, statistics, econometrics, machine learning, and time‑series analysis.
• Experience with data management systems and large‑scale datasets.

• Deep understanding of financial markets, asset classes, and risk models.
• Strong problem‑solving ability, applying advanced quantitative methods to complex financial, market, and economic problems.

• Intellectually curious with a strong bias for action and commercial impact.
• Ability to communicate complex technical research clearly to non‑technical audiences.
• Collaborative, analytical, and detail‑oriented.

• YUSI values radical truth and radical transparency, encouraging rigorous thinking, honest debate, and direct communication.

• Fast‑paced, research‑driven, and impact‑focused.
• Small, collaborative teams that peer‑review, iterate rapidly, and reward merit over hierarchy.
• Work directly influences trading performance and firm profitability (P&L).