Citigroup, Inc

Senior Python Developer - Quant Models AI Automation - Vice President

Citigroup, Inc • $142K — $213K *
New York, NY 10025In-Person
Finance & Insurance
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 7+ years in software development with strong Python expertise.
  • Proven experience with automation, data pipelines, or frameworks in complex environments.
  • Solid understanding of AI/ML technologies and libraries for application development.
  • Experienced in test automation and modern engineering practices like CI/CD.
  • Proficient in handling large datasets, SQL, and data quality checks.
  • Ability to convey technical concepts to non-technical audiences in a global team.

Responsibilities

  • Design and maintain Python services and tools for quantitative model lifecycle automation.
  • Develop frameworks for automated testing and validation of quantitative models.
  • Create data analysis tools ensuring quality and traceability across datasets.
  • Contribute to model lifecycle management tooling and audits.
  • Implement AI components in operational workflows for improved efficiency.
  • Integrate AI tools within a controlled production environment with governance.
  • Collaborate with cross-functional teams to uphold engineering standards.

Benefits

  • Medical, dental, and vision insurance coverage.
  • 401(k) plan contributions.
  • Life, accident, and disability insurance.
  • Wellness program participation.
  • Paid time off, including vacation and sick leave.
Full 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.


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.

Most Relevant Skills
Please see the requirements listed above.

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

Anticipated Posting Close Date:
Sep 08, 2026

About Citigroup, Inc

Citigroup is a financial services holding company that provides financial products and services. The company operates through two segments, Global Consumer Banking (GCB) and Institutional Clients Group (ICG). The GCB segment offers traditional banking services to retail customers through retail banking, commercial banking, Citi-branded cards, and Citi retail services. The ICG segment offers various banking, and financial products and services to corporate, institutional, public sector, and high-net-worth clients. This segment provides wholesale banking products and services, including fixed-income and equity sales and trading, foreign exchange, prime brokerage, derivative services, equity and fixed-income research, corporate lending, investment banking, and advisory services, private banking, cash management, trade finance, and securities services. Citi is committed to sustainability and social responsibility, and the company invests in initiatives that promote economic progress.

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Learn more about Citigroup, Inc
Market Cap
$1.3 billion
Industry
Finance & Insurance
Net Income
$89.6 million
Founded
1812
5 Year Trend
+4.6%
NASDAQ
C
* Ladders Estimates

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