Quantitative Analyst

Responsibilities

• Design, implement, and maintain the team’s core research, enabling scalable development of systematic and discretionary strategies.
• Develop high-performance back-testing and simulation frameworks to evaluate investment hypotheses, strategy performance, and portfolio construction approaches.
• Engineer robust data pipelines to integrate, clean, and manage market, factor, and alternative datasets
• Partner with Technology and central Quant Engineering to align investment team infrastructure with firmwide standards and shared systems.
• Build visualization and analytics tools to present real-time portfolio metrics, risk exposures, and performance attribution in intuitive, interactive formats.
• Enhance portfolio construction and optimization frameworks, supporting both systematic and hybrid investment approaches.
• Champion engineering best practices, including modular architecture, rigorous testing, version control, and continuous integration — ensuring infrastructure is reliable, maintainable, and production-grade.

• Advanced degree (MS or PhD) in Computer Science, Engineering, Applied Mathematics, Physics, or a related quantitative field.
• 2-15 years experience implementing code in production platforms within a front-office quant or investment team environment.
• Expert-level proficiency in Python, with demonstrated experience building quantitative research frameworks, data pipelines, and performance-sensitive analytics.
• Strong understanding of investment data structures, including time series, tick-level, and corporate action data
• Experience in signal research, alpha modeling, and back-testing, with practical understanding of portfolio optimization and risk modelling.
• Deep familiarity with data science and ML tools (Num Py, Pandas, scikit-learn, PyTorch/Tensor Flow) and software engineering practices (Git, CI/CD, testing frameworks).
• Excellent communication and collaboration skills, capable of operating within a flat, fast-paced investment environment.
• High attention to detail and a commitment to code quality, reliability, and production-readiness.
• Proactive, and delivery-oriented, with a passion for building systems that directly drive investment performance.