Python Developer / Quant Analytics (Market Risk)

Strong hands-on experience in Python development with the ability to build analytical solutions for complex quantitative and market risk use cases. \n

Experience or background in Market Risk Analytics in a plus, including understanding of P&L calculations, P&L vectors, risk metrics, and quantitative data processing. \n

Experience working with large-scale financial datasets and performing complex aggregations, transformations, and analytics on high-volume data. \n

Candidate will focus on developing solutions for pricing analytics, risk analytics, trade analytics, or financial modeling environments. \n

Ability to process and optimize data pipelines handling billions of records, with a focus on performance, scalability, and efficiency. \n

Experience working within global banking or capital markets organizations and handling enterprise-scale financial datasets. \n

Preference for candidates who combine strong quantitative/domain knowledge with technical development skills, rather than purely application development experience. \n

Preference for candidate who has experience solving real-world analytical problems involving vector calculations, complex aggregations, and quantitative data modeling. \n

Familiarity with distributed computing/grid computing platforms and running large-scale analytics workloads is a plus. \n

Ability to collaborate effectively with Quant teams and business stakeholders. \n

Strong communication and problem-solving skills \n