Model Developer, Assistant Vice President

As a Model Developer at Citi, you will design, build, and deploy AI and machine learning models that turn complex data into production-ready solutions. Working across Python, SQL, and modern AI frameworks, you will partner with business and technology teams to translate real-world problems into scalable applications and data pipelines. Your work will shape how Citi applies artificial intelligence and data engineering to improve decision-making and streamline workflows across the organization.   Responsibilities - Design, build, and test scalable software applications using Python and SQL to support enterprise data and AI initiatives. - Develop and integrate AI, generative AI, and machine learning models, including agentic frameworks and predictive capabilities, into production workflows. - Architect and optimize complex SQL queries, stored procedures, and data models to extract and analyze large-scale datasets across distributed databases. - Build reusable APIs, data ingestion pipelines, and automated services that streamline business processes and analytics. - Automate data extraction, preprocessing, and feature engineering while identifying data quality issues and performance bottlenecks. - Translate business requirements into technical specifications, architecture diagrams, and sprint deliverables in partnership with stakeholders. - Lead solution demos, training sessions, and technical design walkthroughs for technical and non-technical audiences. - Mentor team members through code reviews and design discussions while escalating technical risks and control gaps. Required Qualifications & Skills - Brings 5+ years of professional experience in software development and data engineering, along with a bachelor's degree in computer science, software engineering, data science, information systems, or equivalent practical experience. - Demonstrates advanced Python skills, including object-oriented programming and frameworks such as FastAPI, Flask, Pandas, NumPy, PyTorch, TensorFlow, or LangChain. - Writes advanced SQL and optimizes queries, indexing, and data models across relational and distributed databases. - Builds and operationalizes AI and generative AI models, including prompt workflows, embeddings, and large language model orchestration, in production settings. - Applies software engineering practices such as Git version control, CI/CD pipelines, automated testing, Docker containerization, and agile methodologies. - Communicates complex technical and AI concepts clearly to non-technical stakeholders and senior leadership while managing expectations across cross-functional teams. - Analyzes and prioritizes dynamic requirements while managing multiple deliverables in a fast-paced environment. Beneficial Skills & Qualifications - Builds interactive dashboards and reporting solutions using Tableau or equivalent business intelligence tools. - Works with distributed query engines such as Starburst, Trino, or Presto, and modern data lake architectures. - Explores Google Cloud Platform data services, Google Agent Development Kit, or other enterprise AI agent development platforms. - Understands model validation, data lineage, role-based access control, and enterprise governance frameworks. What We Offer Join a team where your AI and data engineering expertise directly shapes how Citi builds intelligent, production-ready solutions. - Work in a hybrid arrangement with 3 days in the office and 2 days working remotely each week. - Build and deploy AI, machine learning, and data engineering solutions that solve complex, real-world business problems. - Collaborate with technology and business teams across the organization on high-impact projects. - Access learning and development opportunities that deepen your expertise across modern AI and data technologies. - Benefit from financial wellbeing resources that support long term career and personal goals. - Grow your influence through mentorship opportunities and technical leadership within the team. Apply now to build the AI and data solutions that power Citi's next generation of technology.   ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: Model Development and Analytics ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle. ------------------------------------------------------ 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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