Software Engineer (Python & Data) – Markets Business Controls Technology
Citi (company site, opens in a new tab)5+ yrsPuneHybridDirect career pageEst. 18–32 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, implement, and optimize high-throughput Python backend services and SQL data pipelines processing large volumes of financial market data.
- Translate regulatory requirements and market surveillance policies into automated, deterministic control algorithms and surveillance components.
- Collaborate with trading desks, risk managers, and compliance teams to support trade lifecycle modeling, order workflows, and risk analytics, incorporating Generative AI solutions to enhance operational resilience and compliance.
Minimum Requirements
- 5+ years of professional software engineering experience with hands-on Python backend and data pipeline development.
- Strong proficiency in SQL including database design, query optimization, and performance profiling.
- Knowledge of Investment Banking and Capital Markets concepts such as trade lifecycles, order management, execution workflows, and risk analytics.
- Bachelor’s degree or equivalent professional experience.
Ideal Candidate Profile
- Experienced in building scalable backend applications handling large data volumes in a regulated financial environment.
- Comfortable working in Agile teams using tools like Jira and GitHub for version control and collaboration.
- Familiar with integrating modern technologies such as Generative AI to automate controls and improve market surveillance workflows.