Join a fast‑moving team building high‑throughput regulatory controls and market‑surveillance platforms that process large volumes of financial data, collaborating across trading, risk, and compliance. You’ll own end‑to‑end Python backend services and data pipelines that underpin Citi’s global markets footprint.
What You’ll Do
- Design high‑throughput Python services for market data ingestion and real‑time processing.
- Build robust SQL pipelines to transform trade, order, and risk data at scale.
- Translate regulatory policies into deterministic, automated control algorithms.
- Profile applications, tune databases, and optimise queries to minimise latency.
- Contribute AI‑assisted automation for control testing and workflow efficiency.
What You Need
- 5+ years of Python backend development and data‑pipeline engineering experience.
- Advanced SQL expertise, including complex query optimisation and indexing strategies.
- Solid understanding of capital‑markets trade lifecycles, order management, and risk analytics.
- Hands‑on experience with Agile methodologies, GitHub version control, and Jira tracking.
- Strong analytical, problem‑solving, and stakeholder communication skills.
Good to Have
- Familiarity with regulatory reporting frameworks such as MiFID II, Dodd‑Frank, or MAR.
- Experience with Docker/Kubernetes container orchestration.
- Exposure to streaming platforms like Kafka or Apache Spark.
The Opportunity
You’ll get hybrid work flexibility in Pune, combining remote focus with in‑office collaboration, while delivering mission‑critical systems that protect market integrity and leverage Generative AI innovations at a global financial leader.