Senior Python Developer - Quant Models AI Automation - Vice President

Citibank (Switzerland) AG; New York, Northern (NY, KY); Hybrid; Confidential; Full time

Job summary

Citibank (Switzerland) AG is seeking a Senior Python Developer within Risk Technology to lead AI-enabled automation across the end-to-end model lifecycle for market and credit risk models.

You will design and build tooling and services powering AI-assisted model documentation, automated testing, data analysis, and lifecycle management in a hands-on engineering role.

Qualifications

• 7+ years of professional software development experience with Python and data tooling.
• Experience delivering automation, data pipelines, or testing frameworks in enterprise settings.
• Solid AI/ML knowledge and experience with LLM-based workflows.
• Strong CI/CD, Git, containerization, and modern software practices.
• Experience with large datasets, data quality checks, and SQL.

Responsibilities

• Design and maintain Python-based services and data pipelines for model lifecycle automation.
• Build automated testing and validation frameworks for quantitative models.
• Develop data analysis tooling over large risk datasets with data lineage controls.
• Contribute to model lifecycle tooling including inventory and workflow orchestration.
• Integrate AI tooling in auditable, production-grade environments with governance.

Skills

Python

Data analysis

FastAPI

CI/CD

SQL

Pandas

NumPy

LLM-based automation

Containerization

Education

Master's degree preferred

STEM degree preferred

Tools

Docker

Kubernetes

AWS

Google Cloud

SQL databases

Job description

We are seeking a Senior Python Developer within Risk Technology to join a multi-year strategic initiative: the design and delivery of AI-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 operate automated testing and validation frameworks for quantitative models, including test orchestration, result capture, benchmarking, and reporting.
• Develop data analysis and reconciliation tooling over large‑scale risk datasets, ensuring data quality, lineage, and traceability across risk platforms.
• Contribute to model 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, including LLM‑based automation for 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+ years of professional software development experience, with deep expertise in Python and its data/engineering ecosystem (e.g., pandas, NumPy, FastAPI, orchestration tools).
• Proven track record of 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 with test automation, CI/CD, and modern software engineering practices (Git, code review, containerization).
• Experience working with large 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 to quantitative 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.

Employment Details:

• Job Family Group: Technology
• Job Family: Applications Development
• Time Type: Full time
• Primary Location: New York New York United States
• 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.

Anticipated Posting Close Date:

Sep 08, 2026

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.