Role Overview
Join a pioneering team at the forefront of financial technology innovation. We are building a cutting-edge, agentic AI platform designed to revolutionize the end-to-end credit risk model development lifecycle. By leveraging the power of Large Language Models (LLMs) and intelligent workflows, we aim to augment our quantitative modelers, dramatically increasing their productivity, enhancing model governance, and accelerating the delivery of critical risk models.
We are seeking a hands-on senior engineer to be a key contributor to this transformation. In this role, you will work closely with quantitative analysts and key stakeholders to understand and shape high-impact use cases and collaborate within a talented engineering team to design, build, and deploy the generative AI platform that brings this vision to life.
Key Responsibilities
- Take end-to-end ownership of discrete platform modules and drive them to completion, exercising sound judgement and initiative to navigate ambiguity and drive progress independently, with minimal supervision.
- Build proofs-of-concept and working prototypes to validate technical approaches early, iterating quickly based on stakeholder feedback in a fast-moving, discovery-driven environment.
- Design, develop, and ship production-grade Python components for the agentic AI platform — orchestration pipelines, RAG systems, LLM integrations, and MCP-based tool interfaces.
- Champion engineering best practices — clean code, automated testing, CI/CD, logging, and monitoring
- Build and maintain secure integrations with internal data sources, external APIs, and LLM providers in compliance with Citi's data governance and security standards
- Actively invest in self-learning to keep pace with the rapidly evolving GenAI and LLM landscape, bringing emerging tools and techniques to the team.
Qualifications : Graduate
Must-Haves:
- Extensive Software Engineering Experience: 8-12 years of hands-on experience designing, building, and shipping complex, scalable software systems to production.
- Expertise in Python: Deep proficiency in Python and its ecosystem of libraries for backend development and data processing.
- Generative AI Knowledge : An appetite to learn and apply GenAI concepts such as LLMs, RAG, and MCP, and agentic platforms such as Google ADK, with some evidence of prior exploration in these areas being a plus.
- Backend & Systems Fundamentals: Hands-on experience with REST APIs, SQL/databases, and Unix-based as well as containerized environments
- Technical Influence: Demonstrated ability to contribute to technical direction and champion best practices within an engineering team.
- Excellent Communication: Ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders and to translate business needs into concrete technical requirements.
- Global Collaboration: Demonstrated ability to work effectively with geographically distributed teams across multiple time zones.
Nice-to-Haves:
- Broader Language Proficiency: Experience with Java/C++ in addition to Python.
- Full-Stack Experience: Familiarity with front-end technologies and developing user interfaces for technical workflows.
- Financial Domain Knowledge: Experience in the financial services industry, particularly in the context of quantitative finance, risk management, or Model Risk Management (MRM).
- Familiarity with Model Development: Understanding of the market and/or credit risk model development lifecycle (e.g., for PD, LGD, EAD models) and associated regulatory requirements (e.g., SR 11-7, CCAR, CECL, etc.).
- Regulated Environments: Experience building auditable and compliant software within a highly regulated environment.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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.
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Skills Required
- 8–12 years of hands-on experience designing, building, and shipping complex, scalable software systems to production
- Deep proficiency in Python and its ecosystem of backend development and data processing libraries
- Knowledge of generative AI concepts including LLMs, RAG, MCP, and agentic platforms such as Google ADK
- Hands-on experience with REST APIs, SQL/databases, Unix-based environments, and containerized environments
- Ability to contribute to technical direction and champion engineering best practices
- Excellent communication skills with technical and non-technical stakeholders
- Ability to collaborate effectively with geographically distributed teams across multiple time zones
- Experience with Java or C++ in addition to Python
- Familiarity with front-end technologies and user-interface development for technical workflows
- Financial services experience, particularly quantitative finance, risk management, or Model Risk Management
- Understanding of market or credit risk model development lifecycles and related regulatory requirements, including SR 11-7, CCAR, or CECL
- Experience building auditable and compliant software in highly regulated environments
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Health coverage is presented as comprehensive, including free in-network preventive care, mental-health resources, and the Be Well Program. Materials also state new hires have access to health and insurance benefits from the outset.
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Retirement Support — The retirement plan offers a $1-for-$1 match up to 6% of eligible pay. New employees are eligible for the plan, with automatic enrollment after 90 days if they do not enroll themselves.
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Inclusive Benefits Coverage — Benefits highlight fertility treatment coverage, adoption/surrogacy reimbursement up to $30,000, and disability coverage. Coverage extends to spouses and domestic partners regardless of gender identity or sexuality, with gender-affirming care-related support noted.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
