Software Engineer (Python & Data) – Markets Business Controls Technology

Responsibilities

• Design and implement high-throughput Python backend services and SQL pipelines to ingest and process large volumes of financial market data, under the guidance of senior technical leads.
• Translate regulatory mandates and market surveillance policies into reliable, deterministic control algorithms and automated surveillance components.
• Collaborate with trading desks, risk managers, and compliance stakeholders to support the modeling of trade lifecycles, order workflows and multi-asset risk analytics.
• Perform application profiling, database tuning, and SQL query optimization to reduce bottlenecks, minimize latency and improve throughput.
• Contribute to Generative AI-assisted solutions and automation patterns that reduce manual operational activities and streamline control testing workflows.
• Participate in architectural discussions, system design reviews and modern CI/CD practices using GitHub and Jira.
• Apply engineering best practices, take part in peer code reviews, follow testing standards and support knowledge sharing within the team.
• Ensure technical deliverables adhere to Citi engineering policies, enterprise security standards and regulatory compliance requirements.
• 5+ years of professional software engineering experience, with solid hands-on experience building backend applications and data pipelines in Python.
• Strong proficiency in SQL, relational database design, query optimization, indexing strategies and database performance profiling.
• Working knowledge of Investment Banking and Capital Markets, including a good understanding of trade and transaction lifecycles, order management, execution workflows and market risk analytics.
• Demonstrated experience developing and supporting scalable systems handling sizable data volumes.
• Experience working within Agile frameworks, using Jira and GitHub for version control, branching strategies and collaborative development.
• Strong analytical and problem-solving abilities, with the ability to resolve complex technical issues and translate business requirements into technical specifications.
• Good communication and collaboration skills, with the ability to work effectively with both technical teammates and business stakeholders.
• Exposure to regulatory reporting or market surveillance platforms (e.g., MiFID II, CAT, Dodd-Frank, MAR, Best Execution).
• Experience with containerization and orchestration technologies (Docker, Kubernetes, OpenShift).
• Familiarity with distributed computing or data streaming technologies (e.g., Apache Spark, PySpark, Kafka, Solace, MQ).
• Exposure to Generative AI APIs, prompt engineering, or LLM-driven tooling to automate workflows and extract structured insights from unstructured data.
• Bachelor’s degree/University degree or equivalent professional experience; Master’s degree preferred.

Required Qualifications & Skills

Beneficial Skills & Qualifications

Education

What We Offer

• Hands-on engineering ownership of high-impact systems that help safeguard market integrity and support regulatory compliance across a global financial leader.
• A hybrid working model combining focused remote productivity with in-office collaboration in Pune.
• Access to comprehensive technical training and professional growth programs across Citi's global engineering community.

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Most Relevant Skills

Other Relevant Skills

Qualifications

• Experience with containerization and orchestration technologies (Docker, Kubernetes, OpenShift).
• Familiarity with distributed computing or data streaming technologies (e.g., Apache Spark, PySpark, Kafka, Solace, MQ).

Preferred Qualifications

• Bachelor’s degree/University degree or equivalent professional experience; Master’s degree preferred.