Software Engineer - Python and Data – Assistant Vice President

Citi; Pune District; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Citi's Markets Technology group in Pune seeks a seasoned Software Python & Data Engineer to design and optimize high-throughput Python backends and data pipelines processing trade lifecycles, orders, and risk analytics.

You'll translate regulatory mandates into deterministic controls, collaborate with desks and compliance, and apply Generative AI to improve operational resilience. This is a hybrid Pune role.

Qualifications

• 8+ years of professional software engineering experience with backend apps and data pipelines in Python.
• Strong proficiency in SQL, relational design, indexing, and query optimization.
• Experience in Investment Banking / Capital Markets and understanding trade lifecycles, orders, and risk analytics.
• Proven ability to build scalable systems handling large data volumes.
• Experience in Agile workflows using Jira and GitHub.

Responsibilities

• Design and implement high-throughput Python backend services and SQL pipelines for large market data volumes.
• Translate regulatory mandates and market surveillance policies into reliable control algorithms.
• Collaborate with trading desks, risk managers, and compliance stakeholders on models and analytics.
• Profiling, tuning, and optimizing databases to reduce latency and improve throughput.
• Contribute to Generative AI-assisted solutions and automation patterns.

Skills

Python backend

SQL & DB optimization

Data pipelines

Agile teamwork

Regulatory domain knowledge

Education

Bachelor/Master degree

Tools

Docker

Kubernetes

Job description

Citi's Markets Technology group is seeking a skilled Software Python & Data Engineer in Pune to help engineer high-throughput Regulatory Controls and Market Surveillance Platforms. In this hands-on engineering role, you will design, code, and optimize scalable Python backend services and data pipelines that process large volumes of financial market data—including trade lifecycles, orders, executions, and risk analytics. Working at the intersection of software engineering and capital markets, you will collaborate with trading desks, risk managers, and compliance teams to deliver automated control frameworks and apply modern innovations—including Generative AI—to strengthen operational resilience and regulatory compliance across Citi's global markets footprint.

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.

Required Qualifications & Skills

• 8+ 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.

Beneficial Skills & Qualifications

• 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.

Education

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

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.

Job Family Group

Technology

Job Family

Applications Development

Time Type

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

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

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