Sr Python Developer

Job Summary. We are seeking a hands-on Quantitative Developer / Quant Analyst to support the migration of a legacy QIS platform into a modern, strategic architecture. This role is focused on quant development, platform migration, and delivery, rather than pure research.

Requirements. 5+ years in Investment Banking or Capital Markets. Technology Expert Python development skills. Experience with derivatives or structured products. Built or maintained pricing engines, risk engines, or quantitative libraries. Worked on platform modernization or legacy migration projects. Strong numerical and quantitative aptitude. Experience with APIs, distributed systems, and production software. Hands-on experience with reconciliation, validation, and regression testing. Comfortable working with quants, traders, and technology teams. Candidates from Goldman Sachs, JPMorgan, Morgan Stanley, Barclays, Deutsche Bank, UBS, Murex, Bloomberg, MSCI, FactSet, LSEG, WorldQuant, Tower Research Capital, Quadeye, and Graviton Research Capital who have Python + derivatives + pricing/risk platform development experience are likely to be the closest match for this role. Preferred experience. QIS / index calculation platforms. Commodities analytics. Your key characteristics. Hands-on and execution-oriented. Strong problem-solving mindset. Ability to balance technical depth with delivery priorities. WFH-investment Banking/Finance Must. Strong Python development skills. Solid numerical ability with strong quant intuition. Experience interpreting and working with complex legacy codebases. Familiarity with analytics libraries, APIs, and distributed systems. Experience in financial markets, particularly derivatives and structured products. Pragmatic, delivery-focused, and comfortable working in ambiguous environments. Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.