Quantitative Analyst

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. Requirements 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 (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) 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. #J-18808-Ljbffr Confidential