Senior Software Engineer - Python and Data - Vice President

Responsibilities

• Lead the hands-on design and implementation of high-throughput, low-latency Python backend services and SQL pipelines to ingest and process massive volumes of financial market data.
• Translate complex regulatory mandates and market surveillance policies into robust, deterministic control algorithms and automated surveillance engines.
• Partner directly with trading desks, risk managers, and compliance stakeholders to model end-to-end trade lifecycles, order workflows, and multi-asset risk analytics.
• Conduct application profiling, database tuning, and SQL query optimization to eliminate bottlenecks, minimize latency, and maximize throughput.
• Implement Generative AI-assisted solutions and modern automation patterns to eliminate manual operational activities and streamline control testing workflows.
• Act as the technical authority for the engineering team, guiding architectural decisions, system design reviews, and modern CI/CD practices using GitHub and Jira.
• Champion engineering best practices, conduct rigorous peer code reviews, enforce testing standards, and mentor engineers across the team.
• Ensure technical deliverables strictly adhere to Citi engineering policies, enterprise security standards, and global regulatory compliance requirements.
• 10+ years of professional software engineering experience, with deep hands-on expertise building backend applications and data-intensive pipelines in Python.
• Advanced proficiency in SQL, relational database design, query optimization, indexing strategies, and database performance profiling.
• Strong domain knowledge in Investment Banking and Capital Markets, including comprehensive understanding of trade and transaction lifecycles, order management, execution workflows, and market risk analytics.
• Demonstrated technical leadership capabilities, including conducting architectural reviews, mentoring engineers, and setting engineering standards.
• Strong analytical and problem-solving abilities, with the skill to resolve complex, ambiguous technical issues and translate business requirements into robust technical specifications.
• Excellent communication and stakeholder alignment skills, with the ability to partner effectively with both technical teams and non-technical business leaders.
• Prior experience building regulatory reporting or market surveillance platforms (e.g., MiFID II, CAT, Dodd-Frank, MAR, Best Execution).
• Hands-on experience with containerization and container orchestration technologies (Docker, Kubernetes, OpenShift).
• Exposure to distributed computing or data streaming technologies (e.g., Apache Spark, PySpark, Kafka, Solace, MQ).
• Experience applying Generative AI APIs, prompt engineering, or LLM-driven tooling to automate workflows and extract structured insights from unstructured datasets.
• Bachelor’s degree/University degree or equivalent professional experience; Master’s degree preferred.

Required Qualifications & Skills

Beneficial Skills & Qualifications

Education

What We Offer

• Direct technical ownership of critical, high-impact systems that safeguard market integrity and ensure 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 leadership growth programs across Citi’s global engineering community.

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Most Relevant Skills

Other Relevant Skills

Qualifications

• Hands-on experience with containerization and container orchestration technologies (Docker, Kubernetes, OpenShift).

Preferred Qualifications

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