Quantitative Developer, Trading Research

A Career with Point72’s Trading Research Team

WHAT YOU’LL DO

• Build and scale the research-to-trading platform that enables to support the design, testing, and deployment of quantitative strategies from prototype to production
• Design and implement high-performance analytics and pricing libraries in C++ and Python to support back testing, simulation, and real-time decision making
• Partner with investment professionals across the global business to translate ideas into robust, production-grade code and reproducible experiments
• Develop and maintain data pipelines and storage solutions that ingest, validate, and serve large historical and real-time market datasets
• Deploy, monitor, and operate production services, including automated testing, release processes, and incident response
• Drive performance and latency optimizations across code paths and infrastructure using profiling and benchmarking techniques
• Create tooling for experiment management, post-trade analysis, and model validation to measure strategy behavior and market impact
• Lead and contribute to the technical roadmap, increasing automation, resilience, and scalability of the research infrastructure
• Mentor junior developers, share best practices for software engineering, and promote a culture of continuous improvement and technical excellence

WHAT’S REQUIRED

• Bachelor’s degree or higher in computer science, engineering, mathematics, physics, or a related quantitative discipline
• 3+ years of professional software engineering experience building production systems in a collaborative environment
• Strong proficiency in Python for data analysis and tooling and fluency in modern C++ for performance-sensitive components
• Practical experience building and querying relational databases or columnar data stores using SQL and hands‑on experience with Linux development
• Proven experience designing and operating production services, including testing, deployment, and monitoring practices
• Demonstrated ability to profile, debug, and optimize code and system performance for low‑latency or high‑throughput workloads
• Working knowledge of financial markets and instruments across equities, futures, or foreign exchange, and how market data is used in research
• Strong analytical problem‑solving skills and attention to detail when validating models and calculations and excellent communication with experience working directly with researchers and portfolio managers
• Commitment to the highest ethical standards

WE TAKE CARE OF OUR PEOPLE

• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee‑led affinity groups representing women, people of color and the LGBT+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement

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