Quantitative Developer (RAD / Front-Office)

This role works directly with traders and quantitative researchers to rapidly design, prototype, and deliver high-impact tools that streamline research, optimize execution workflows, and enhance decision-making.

The ideal candidate combines expert-level programming ability with strong market intuition and thrives in a fast-paced environment where quick iteration, creativity, and technical excellence are essential.

• Work closely with traders and quants to rapidly design and implement tools for signal research, trade analysis, attribution, and reporting.
• Develop, maintain, and extend risk and P&L frameworks , ensuring accurate and timely daily reporting.
• Build and optimize market data pipelines , including ingestion, validation, transformation, and contribution to internal systems.
• Create tactical tools, prototypes, and automation utilities that eliminate manual workflows and reduce operational overhead.
• Develop robust web scraping and external data acquisition utilities for research and analytical use cases.
• Contribute to a high-velocity front-office RAD environment , delivering scalable, maintainable production code under tight timelines.
• Collaborate across technology, data, and quant teams to improve platform efficiency, data quality, system resilience, and researcher productivity.

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related technical discipline.
• 5+ years of software development experience , ideally in a front-office, trading, or quantitative research environment.
• Strong proficiency in Python , including data analysis, visualization, workflow automation, and package ecosystem knowledge.
• Familiarity with big data technologies (e.g., Spark, Hadoop) and database systems (SQL and NoSQL).
• Experience working with financial markets, trading workflows, and risk metrics .
• Ability to prototype quickly , iterate with users, and ship high-quality tools in a dynamic front-office setting.