Apps Dev Tech Lead Python Data Engineer – C13 – RUTHERFORD Citigroup

Skills / Requirements

• AI Fluency
• AI Governance
• API Design
• Data Flows
• Distributed Systems
• Django
• Docker
• FastAPI
• GenAI
• Kubernetes
• Linux
• Microservices
• Prompt Engineering
• Python
• SQL
• System Architecture
• TDD
• Unit Testing
• Vibe Coding

Why Apply

This role is ideal for developers leveraging AI tools, as it involves using large language models (LLMs) and AI platforms from providers like OpenAI and Google to modernize workflows and automate analysis. The position emphasizes AI-assisted tooling to accelerate development and problem-solving.

What You'll Be Doing

Design and deliver Python-based applications for credit risk analytics and reporting. Collaborate with risk and technology teams to integrate platforms and enhance processes. Lead technical initiatives, mentor engineers, and ensure compliance with enterprise standards.

Pay and Career Growth

The role offers a competitive salary ranging from $142,320 to $213,480, along with comprehensive benefits such as medical, dental, and vision coverage. Citigroup promotes a culture of innovation with a startup mindset, providing opportunities for technical leadership and career advancement in a global financial institution.

Benefits and Perks

• 401k
• Dental Coverage
• Disability Insurance
• incentive awards
• Life Insurance
• Medical Coverage
• Paid Holidays
• Paid Time Off
• retention awards
• Sick Leave
• Vision Coverage
• Wellness Programs

Is This Role Right for You?

Original Job Description

Discover Your Future in Credit Risk Technology

Build systems that shape credit decisions—at scale.

Join a fast‑moving Credit Risk Technology team where modern engineering, data, and AI come together to drive real‑world financial impact. We operate with a startup mindset—ownership, speed, and experimentation—within the rigor and responsibility of a global financial institution. You’ll help design and deliver mission‑critical platforms that support credit risk assessment, analytics, and decisioning across the firm.

Job Overview

The Apps Dev Tech Lead Python Data Engineer is a senior engineering leadership role focused on building and evolving modern, scalable platforms for credit risk management. You will lead application design and development while partnering closely with risk, data, and platform teams to deliver systems that are performant, resilient, and compliant.

This role blends hands‑on development, system architecture, technical leadership, and AI‑enabled innovation , with a strong emphasis on microservices, cloud‑native design, and enterprise‑grade governance.

Key Responsibilities

Architect, design, and deliver scalable, Python‑based applications supporting credit risk analytics, workflows, and reporting.

Partner with risk, product, and technology leadership to integrate platforms , identify enhancements, and enable new products and process improvements.

Resolve high‑impact, complex initiatives through deep analysis of business processes, system flows, and industry standards .

Ensure solutions adhere to enterprise architecture, data, security, and infrastructure blueprints .

Establish and enforce engineering standards for coding, testing, CI/CD, debugging, and production readiness .

Design and evolve microservices‑based architectures , ensuring scalability, resiliency, observability, and maintainability.

Apply AI and GenAI capabilities to modernize workflows, automate analysis, and unlock new insights in credit risk.

Serve as technical leader and mentor , coaching mid‑level engineers and analysts and allocating work as needed.

Apply sound risk and control judgment , ensuring compliance with laws, regulations, and policies while safeguarding clients, data, and the firm.

How You’ll Work

Operate with a startup mindset : ownership, bias for action, and pragmatic innovation.

Deliver with enterprise discipline : stability, controls, transparency, and audit readiness.

Balance experimentation with responsibility in a high‑trust, high‑impact environment .

Adapt quickly as priorities change while maintaining long‑term system integrity.

Core Technical Skills

10–15 years of experience in application development or systems engineering within complex environments.

Advanced proficiency in Python and SQL , with strong software engineering fundamentals.

Hands‑on experience building API‑driven services using FastAPI , Pydantic , and/or Django .

Proven expertise designing and implementing microservices architectures , including service decomposition, inter‑service communication, resiliency patterns, and observability.

Strong experience with Docker and Kubernetes , deploying and operating containerized services in production.

Deep understanding of system architecture, data flows, and distributed systems .

Experience working in Linux environments , including shell scripting and operational troubleshooting.

Strong track record implementing unit testing, TDD, and automated quality controls .

Subject Matter Expert (SME) in at least one application, platform, or service domain.

AI & Modern Engineering Tools

Working knowledge of large language models (LLMs) and modern AI platforms from leading providers such as OpenAI, Anthropic, Google, and Meta .

Experience designing or contributing to LLM‑enabled solutions (e.g., copilots, workflow automation, analytics augmentation).

Familiarity with prompt engineering , model integration patterns, and AI governance considerations in enterprise environments.

Exposure to modern “vibe coding” practices—leveraging AI‑assisted tooling to accelerate development, experimentation, and problem solving while maintaining engineering rigor.

Bonus / Differentiating Skills

Experience with distributed data and compute platforms (e.g., Spark, PySpark, Hadoop, Hive).

Hands‑on experience with graph databases , particularly Neo4j , for network, relationship, or dependency‑driven use cases.

Background in credit risk, financial risk management, or banking platforms .

Experience modernizing or decomposing legacy monolithic systems in large enterprises.

Proven delivery of GenAI / AI‑driven solutions in regulated or large‑scale environments.

Education

Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related STEM field .

Master’s degree preferred.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

Rutherford New Jersey 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:

Apr 22, 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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm) .

View Citi’s EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy) and the Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster.

Citi is an equal opportunity and affirmative action employer.

Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.