Senior Software Engineer - Python and Data - Vice President

Reposted Yesterday
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Pune, Mahārāshtra, IND
Hybrid
Senior level
Financial Services
The Role
Develop and optimize high-throughput Python backend services and SQL data pipelines for regulatory and market surveillance controls. Translate market regulations into automated control algorithms, partner with trading, risk, and compliance teams, tune databases and applications, apply Generative AI, and provide technical leadership through architecture reviews, coding standards, testing, mentoring, and CI/CD practices.
Summary Generated by Built In

Citi’s Markets Technology group is seeking an experienced Senior Python and Data Engineer in Pune to join the engineering organization in developing high-throughput Regulatory & Market Manipulation Controls. In this hands-on technical role, you will code, architect, and optimize scalable Python backend services and data pipelines that process massive volumes of financial market data - including trade lifecycles, orders, executions, and risk analytics. Bridging software engineering with capital markets domain expertise, you will serve as a strategic partner to risk managers, trading desks heads and compliance teams, delivering automated control frameworks and leveraging modern innovations - including Generative AI - to enhance operational resilience and ensure regulatory compliance across Citi’s global markets footprint.


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.

Required Qualifications & Skills
  • 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.

Beneficial Skills & Qualifications
  • 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.

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

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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Job Family Group: Technology

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Job Family:Applications Development

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Time Type:Full time

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Most Relevant Skills Please see the requirements listed above.

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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

Skills Required

  • 10+ years of professional software engineering experience
  • Expertise building backend applications and data-intensive pipelines in Python
  • Advanced SQL proficiency, including relational database design, query optimization, indexing, and performance profiling
  • Strong knowledge of investment banking and capital markets, including trade lifecycles, order management, execution workflows, and market risk analytics
  • Technical leadership experience, including architectural reviews, mentoring, and setting engineering standards
  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder alignment skills
  • Experience with regulatory reporting or market surveillance platforms such as MiFID II, CAT, Dodd-Frank, MAR, or Best Execution
  • Experience with Docker, Kubernetes, or OpenShift
  • Experience with distributed computing or data streaming technologies such as Apache Spark, PySpark, Kafka, Solace, or MQ
  • Experience with Generative AI APIs, prompt engineering, or LLM-driven tooling
  • Bachelor's degree or equivalent professional experience
  • Master's degree
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The Company
HQ: New York, NY
226,610 Employees
Year Founded: 1998

What We Do

Citigroup is a global diversified financial services holding company serving consumers, corporations, governments and institutions. It provides consumer banking and credit, corporate and investment banking, securities brokerage, trade and securities services, and wealth management. Operating across nearly 160 countries and jurisdictions, Citi aims to be a leading partner for institutions with cross-border needs, a global wealth manager, and a valued personal bank in the United States.

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