Senior Python Developer - Quant Models AI Automation

Salary: £62,000 - 102,000 per year

Requirements:

• We require a STEM degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field; a masters degree is preferred.
• We require professional software development experience, with deep expertise in Python and its data and engineering ecosystem, such as pandas, NumPy, FastAPI, and orchestration tools.
• We require a proven track record of delivering production-grade automation, data pipelines, or testing frameworks in a complex enterprise environment; financial services experience is strongly preferred.
• We require solid AI/ML knowledge, including practical experience with machine learning libraries and/or LLM-based application development, such as API integration, prompt engineering, and RAG-style document workflows.
• We require strong experience with test automation, CI/CD, and modern software engineering practices, including Git, code review, and containerization.
• We require experience working with large datasets, data quality and lineage checks, and SQL, along with familiarity with enterprise data platforms.
• We require the ability to work effectively in a cross-functional, global team and communicate technical concepts to non-technical stakeholders.
• We prefer exposure to quantitative risk models, including market risk and/or credit risk, and the model lifecycle: development, validation, documentation, and ongoing monitoring.
• We prefer familiarity with the model risk regulatory landscape and governance expectations in banking.
• We prefer experience with workflow orchestration platforms, cloud environments such as AWS or Google Cloud, and container orchestration such as Docker or Kubernetes.
• We prefer a background in quantitative finance, statistics, or data science; an advanced quantitative degree is a plus.
• We prefer experience mentoring engineers and leading small technical workstreams.

Responsibilities:

• We design, develop, and maintain Python-based services, pipelines, and tools that support automation of the quantitative model lifecycle across market risk and credit risk model families.
• We build and operate automated testing and validation frameworks for quantitative models, including test orchestration, result capture, benchmarking, and reporting.
• We develop data analysis and reconciliation tooling over large-scale risk datasets, ensuring data quality, lineage, and traceability across risk platforms.
• We contribute to model lifecycle management tooling, including model inventory, workflow orchestration, approvals, periodic reviews, and audit-ready evidence generation.
• We 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.
• We integrate AI tooling into a controlled, auditable, production-grade environment with appropriate testing, monitoring, and governance controls.
• We stay current with developments in applied AI/ML and evaluate their applicability to risk technology use cases.
• We work within a cross-functional agile team alongside quants, validators, data engineers, and program management.
• We promote engineering best practices, including code quality, testing, CI/CD, documentation, and secure, scalable design.
• We mentor junior developers and contribute to technical design reviews.

Technologies:

• AI
• API
• AWS
• CI/CD
• Cloud
• Docker
• FastAPI
• Git
• Support
• Kubernetes
• LLM
• Machine Learning
• Python
• RAG
• SQL
• numpy
• pandas

More:

We are Citi, and this is a full-time Technology role in London, England, United Kingdom within our Risk Technology team. We are seeking a senior Python Developer to join a multi-year strategic initiative focused on designing and delivering AI-enabled automation across the end-to-end quantitative model lifecycle for market risk and credit risk models. This is a hands-on engineering role at the core of the program, where we work closely with quantitative analysts, model validators, data engineers, and program leadership to deliver robust, production-grade solutions. We are an equal opportunity employer, and qualified candidates will receive consideration without regard to protected characteristics. If you need a reasonable accommodation to use our search tools or apply, we provide accessibility support.

last updated 35 week of 2026