Data Scientist, Technical Lead (New York)

📋 Description

• • Shape the future of AI-driven finance as the Technical Lead for Data Science at Voleon Group in New York. You will sit at the intersection of research, engineering, and trading, guiding a multidisciplinary team that turns petabytes of market and alternative data into actionable, alpha-generating insights.
• • Own the end-to-end vision for analytical excellence: define data-science roadmaps, choose the right statistical and ML techniques, and ensure every model, dashboard, and investigative report meets the highest standards of rigor and reproducibility.
• • Partner daily with Technical Product Owners in Research and Engineering to translate complex business questions into crisp analytical objectives. You will scope projects, allocate resources, and deliver insights that directly influence portfolio construction, risk management, and strategic direction.
• • Lead deep-dive investigations into production behaviors across trading and research systems. When a signal degrades, a latency spike occurs, or a model drifts, you will design robust root-cause analyses, surface anomalies, and present clear remediation paths to both technical contributors and senior leadership.
• • Mentor and manage a growing bench of junior and mid-level data scientists. Provide architectural oversight, conduct rigorous code reviews, and foster a culture where curiosity, statistical creativity, and engineering discipline coexist. Your coaching will accelerate individual growth and multiply team impact.
• • Serve as the technical authority on data quality, statistical methodology, and experimental design. Establish scalable frameworks for data governance, feature engineering, back-testing, and performance monitoring that can withstand the scrutiny of billion-dollar trading decisions.
• • Champion modern development practices—CI/CD, version control, containerization, and automated testing—within the data-science workflow. You will help the team move from ad-hoc notebooks to production-grade pipelines without sacrificing agility or scientific depth.
• • Design and deploy analytical pipelines that continuously monitor live trading systems. These pipelines must detect microstructure anomalies, quantify model risk, and provide real-time feedback loops that keep strategies sharp and compliant.
• • Present complex findings to a demanding audience of researchers, engineers, and C-suite executives. Translate statistical nuance into strategic recommendations, clearly articulating trade-offs, confidence intervals, and business impact.
• • Drive the continual evolution of Voleon’s data-science stack. Evaluate new tools, benchmark emerging techniques, and ensure the team remains at the cutting edge of AI/ML applications in finance.
• • Foster cross-functional collaboration by leading workshops, brown-bags, and hack-days that disseminate best practices and spark innovative research ideas across the firm.
• • Contribute to recruiting and onboarding: define interview loops, craft take-home challenges, and build a diverse pipeline of world-class data-science talent that sustains Voleon’s competitive edge.