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). Key Responsibilities Model Development 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. Data Analysis 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. Strategy Implementation 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. Strategy & System Enhancement 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. Collaboration 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. Required Skills and Qualifications Education Advanced degree (Master’s or PhD) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field. Technical Expertise 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. Financial & Analytical Skills 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. Mindset & Communication 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. Working at YUSI Culture YUSI 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. Work directly influences trading performance and firm profitability (P&L). #J-18808-Ljbffr