Senior Python Developer - Quant Models AI Automation - Vice President

Citigroup Inc.; New York (NY); On-site; USD 142,000 - 213,000; Full time

Job summary

Citigroup Inc. in New York seeks a Senior Python Developer in Risk Technology to design and deliver AI-enabled automation across end-to-end model lifecycles for market and credit risk models.

This hands-on engineering role builds tooling for AI-assisted documentation, automated testing, data analysis, and governance, collaborating with quants, validators, and data engineers to translate requirements into robust production-grade solutions.

Qualifications

• 7+ years of professional software development experience with Python and its data/engineering ecosystem.
• Proven track record of delivering production-grade automation, data pipelines, or testing frameworks in a complex enterprise environment.
• Solid AI/ML knowledge with practical experience and/or LLM-based application development.
• Strong experience with test automation, CI/CD, and modern software engineering practices.
• Experience working with large datasets, data quality checks, and SQL in enterprise data platforms.
• Ability to communicate technical concepts to non-technical stakeholders in a cross-functional team.

Responsibilities

• Design, develop, and maintain Python-based services, pipelines, and tools for automation of the model lifecycle across risk model families.
• Build and operate automated testing/validation frameworks for quantitative models, including benchmarking and reporting.
• Develop data analysis and reconciliation tooling over large risk datasets with data lineage and traceability.
• Contribute to model lifecycle tooling: inventory, workflow orchestration, approvals, and audit-ready evidence.

Skills

Python

Pandas

NumPy

FastAPI

Data engineering

CI/CD

Test automation

SQL

LLM / AI/ML

Git

Education

STEM degree

Tools

Docker

Kubernetes

Airflow

Git

Job description

We are seeking a SeniorPython DeveloperwithinRisk Technologyto join a multi-year strategic initiative: the design and delivery ofAI-enabled automation across the end-to-end quantitative model lifecycle, covering all market risk and credit risk models.

This is a hands-on engineering role at the core of the program. You will design and build the tooling and services that power AI-assisted model documentation, automated model testing and validation workflows, large-scale risk data analysis, and model lifecycle management. You will work closely with quantitative analysts, model validators, data engineers, and the program leadership to translate workflow automation requirements into robust, production-grade solutions.

Key Responsibilities:

Engineering & Delivery:

• Design, develop, and maintain Python-based services, pipelines, and tools supporting automation of the quantitative model lifecycle across market risk and credit risk model families.

• Build and operateautomated testing and validation frameworksfor quantitative models, including test orchestration, result capture, benchmarking, and reporting.

• Developdata analysis and reconciliation toolingover large-scale risk datasets, ensuring data quality, lineage, and traceability across risk platforms.

• Contribute tomodel lifecycle management tooling: model inventory, workflow orchestration, approvals, periodic reviews, and audit-ready evidence generation.

AI Enablement:

• Implement AI/ML components within the model workflow, includingLLM-based automationfor model documentation generation and updating, intelligent data quality checks, and workflow assistance.

• Integrate AI tooling into a controlled, auditable, production-grade environment, with appropriate testing, monitoring, and governance controls.

• Stay current with developments in applied AI/ML and evaluate their applicability to risk technology use cases.

Collaboration & Standards:

• Work within a cross-functional agile team alongside quants, validators, data engineers, and program management.

• Promote engineering best practices: code quality, testing, CI/CD, documentation, and secure, scalable design.

• Mentor junior developers and contribute to technical design reviews.

Required Qualifications:

• 7+ yearsof professional software development experience, with deep expertise inPythonand its data/engineering ecosystem (e.g., pandas, NumPy, FastAPI, orchestration tools).

• Proven track recordof delivering production-grade automation, data pipelines, or testing frameworks in a complex enterprise environment; financial services experience strongly preferred.

• Solid AI/ML knowledge, including practical experience with machine learning libraries and/or LLM-based application development (e.g., API integration, prompt engineering, RAG-style document workflows).

• Strong experience withtest automation, CI/CD, and modern software engineering practices (Git, code review, containerization).

• Experience working withlarge datasets, data quality/linearity checks, and SQL; familiarity with enterprise data platforms.

• Ability to work effectively in a cross-functional, global team and communicate technical concepts to non-technical stakeholders

Preferred Qualifications:

• Exposure toquantitative risk models(market risk and/or credit risk) and the model lifecycle: development, validation, documentation, and ongoing monitoring.

• Familiarity with the model risk regulatory landscape and governance expectations in banking.

• Experience with workflow orchestration platforms, cloud environments (AWS/Google Cloud), and container orchestration (Docker/Kubernetes).

• Background in quantitative finance, statistics, or data science; an advanced quantitative degree is a plus.

• Experience mentoring engineers and leading small technical workstreams.

Education

• STEM degree(Computer Science, Engineering, Mathematics, Statistics, Physics, or related);Master's degree preferred.

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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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Primary Location:

New York New York United States

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Primary Location Full Time Salary Range:

$142,320.00 - $213,480.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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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.

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Anticipated Posting Close Date:

Sep 08, 2026

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right

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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.

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