Data Scientist, Generative AI - Spread Products

Citi is a leading global financial institution, and they are seeking a Data Scientist, Generative AI within their Spread Products division. This role involves pioneering AI solutions to enhance trading, risk management, and client solutions in capital markets, focusing on Generative AI techniques and data engineering.ResponsibilitiesPioneer Generative AI Solutions: Design, develop, and deploy production-grade AI applications leveraging state-of-the-art Generative AI techniques, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced agentic frameworks tailored for capital marketsDrive Workflow Transformation: Construct innovative AI/data solutions that significantly enhance workflows and operational efficiency across a diverse range of product classes, such as corporate bonds, Mortgage-Backed Securities (MBS), Collateralized Loan Obligations (CLOs), and derivative instrumentsAdvance Autonomous Systems: Architect and implement agentic coding systems capable of autonomously generating, testing, and optimizing complex financial models and analytical tools specifically for credit and securitized marketsBuild Intelligent Interfaces: Develop intuitive conversational AI interfaces and intelligent assistants to empower originators, structurers, investors, lenders, and market makers within the Spread Products ecosystemEngineer Robust Data Pipelines: Design, construct, and maintain scalable data pipelines to underpin advanced AI/ML workflows, seamlessly integrating vast datasets including real-time market data, comprehensive credit data, securitized product performance analytics, and proprietary research contentSeamless AI Integration: Develop robust APIs and microservices to effectively embed AI capabilities into Citi's critical capital markets, credit, and securitized product platformsOptimize Data Infrastructure: Implement and optimize high-performance data storage and retrieval solutions capable of managing and processing large volumes of complex credit and securitized market data for demanding AI applicationsChampion Data Automation: Contribute to the strategic automation and lifecycle management of data assets across the entire Spread Products businessStrategic Business Partnership: Actively collaborate with diverse business stakeholders across all product lines and geographies within Spread Products to identify, prioritize, and champion high-impact AI implementation opportunitiesQuant Research Synergy: Partner closely with quantitative researchers to integrate cutting-edge AI techniques into sophisticated credit and securitization pricing, advanced risk models, and optimized portfolio management strategiesRegulatory Adherence & Governance: Work proactively with compliance, legal, and risk management teams to ensure all AI solutions adhere strictly to regulatory frameworks and governance requirements specific to the capital markets domainContinuous Learning & Innovation: Maintain deep expertise in emerging AI technologies, methodologies, and industry trends, continuously evaluating their potential applicability and value to Spread Products' evolving business needsFoster AI Community: Actively contribute to and engage with Citi's broader AI/ML community of practice, fostering knowledge sharing, best practices, and collaborative innovation across the firmSkillsBachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Quantitative Finance, or a closely related quantitative fieldExceptional academic grounding in algorithms, data structures, software engineering principles, and computational mathematics1-5 years of progressive professional experience in AI/ML engineering, advanced software development, or data science roles, with a strong preference for backgrounds within financial services or capital marketsProven track record of successfully designing, developing, and deploying robust, production-grade AI applications in complex environmentsDirect experience or strong foundational understanding of credit markets, securitized products, or other relevant financial instruments is highly advantageousDeep, hands-on experience with state-of-the-art Generative AI techniques, including practical application and fine-tuning of Large Language Models (LLMs) such as GPT, Claude, Llama, or similar architecturesDemonstrated expertise in designing and implementing Retrieval-Augmented Generation (RAG) systems for enterprise applicationsPractical experience with agentic frameworks and the development of autonomous coding or intelligent decision-making systemsComprehensive knowledge of classical and modern machine learning algorithms, statistical modeling, and experimental designSolid understanding of financial mathematics, quantitative modeling, and their application within capital marketsDemonstrated proficiency in Python, including experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow) and software development best practices (e.g., version control, testing, clean code)Advanced SQL skills with experience querying and optimizing performance on large, complex datasetsBenefitsMedical, dental & vision coverage401(k)Life, accident, and disability insuranceWellness programsPaid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidaysCompany OverviewCiti's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. It was founded in 1812, and is headquartered in San Antonio, Texas, USA, with a workforce of 10001+ employees. Its website is https://www.citi.com.Company H1B SponsorshipCiti has a track record of offering H1B sponsorships, with 1386 in 2025, 849 in 2024, 1375 in 2023, 1117 in 2022, 876 in 2021, 901 in 2020. Please note that this does not guarantee sponsorship for this specific role.



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