{"id":4073192,"url":"https://alion.io/job/citi-fx-gen-ai-engineer-python-vp","title":"FX Gen AI Engineer - (Python) - VP","company":{"id":7841,"name":"Citi","domain":"citi.com","url":"https://alion.io/company/citi","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":97,"open_postings":578,"ghost_share":0.01,"stale_share":0.265,"repost_share":0.066,"time_to_fill_p50_days":9,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Flask","optional":false},{"name":"Git","optional":false},{"name":"Keras","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Plotly","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Redis","optional":false},{"name":"Rust","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Airflow","optional":true},{"name":"Apache Ignite","optional":true},{"name":"Fine-tuning","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-10T00:00:00Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-11T18:01:58Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Overview\nCiti is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. We enable clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity.\nWhat We do / The Team\nThe FX Data Analytics & AI Technology team, within Citi's FX Technology organization, seeks a highly motivated Senior Gen AI Engineer.\nThe FX Data Analytics & Gen AI Technology team provides data, analytics, and tools to Citi FX sales and trading globally and is responsible for defining and executing the overall data strategy for FX.\nThe successful candidate will be responsible for developing and implementing data-driven models, and engineering robust data and analytics pipelines, to unlock actionable insights from our vast amount of global FX data. The role will be instrumental in executing the overall data strategy for FX and will benefit from close interaction with a wide range of stakeholders across sales, trading, and technology. We are looking for a proactive individual with a practical and pragmatic attitude, ability to build consensus, and work both collaboratively and independently in a dynamic environment.\nRole Overview/What will you do:\nAs a Gen AI Engineer , your mission is to help shape our team of innovators and technologists toward creating next-level solutions that improve the way our business is run.\nEngineer production scale FX data and analytics Gen AI solutions for various FX use cases using modern Gen AI technologies\nCollaborate with stakeholders across sales and trading to understand data needs, translate them into impactful data-driven solutions, and deliver these in partnership with technology.\nDevelop and integrate functionality to ensure adherence with best-practices in terms of data management, need-to-know (NTK), and data governance.\nContribute to shaping and executing the overall data strategy for FX in collaboration with the existing team and senior stakeholders.\nClosely work with FX desks in understanding the requirements and translating into simple and efficient design.\nClose interaction with Traders and Quants to understand new requirements for applications across the platform\nDesign, Development, Testing of new features in the applications.\nContinual improvement of the software development lifecycle and quality of the product.\nHelp deliver large scale projects through hands-on development and technical leadership.\n3rd line support of the production system (dedicated 24h support teams handle 1st / 2nd line).\nMentoring junior members of the team.\nKey Skills and Experience required -\nMaster’s degree or above (or equivalent education) in a STEM discipline.\nProven experience in software engineering and development, and a strong understanding of computer systems and how they operate.\nHands on experience coding the Gen AI applications using Python or / and Go / Rust\nExcellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc).\nExperience developing and implementing Machine learning models from data in a financial context.\nProficiency working with version control systems such as Git, and familiarity with Linux computing environments.\nExperience working with different database and messaging technologies such as SQL, KDB, MongoDB, Kafka, etc.\nExperience working with different caching technologies like Redis.\nFamiliarity with data visualization and ideally development of analytical dashboards using Python and BI tools.\nExcellent communication skills, both written and verbal, with the ability to convey complex information clearly and concisely to technical and non-technical audiences.\nIdeally, some experience working with CI/CD pipelines and containerization technologies like Docker and Kubernetes.\nAny Beneficial / Nice to have skills and experience:\nUnderstanding of modern Gen AI technologies like Agents , MCP\nLong Chain / Llama Index\nFine tuning of Models\nKDB knowledge\nIdeally, some familiarity with data workflow management tools such as Airflow as well as big data technologies such as Apache Spark/Ignite or other caching and analytics technologies.\nA working knowledge of FX markets and financial instruments would be beneficial.\nundefined\nWhat we’ll provide you\nBy joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:\n27 days annual leave (plus bank holidays)\nA discretional annual performance related bonus\nPrivate Medical Care & Life Insurance\nEmployee Assistance Program\nPension Plan\nPaid Parental Leave\nSpecial discounts for employees, family, and friends\nAccess to an array of learning and development resources\n------------------------------------------------------\nJob Family Group:\nTechnology------------------------------------------------------\nJob Family:\nApplications Development------------------------------------------------------\nTime Type:\nFull time------------------------------------------------------\nMost Relevant Skills\nPlease see the requirements listed above.------------------------------------------------------\nOther Relevant Skills\nFor complementary skills, please see above and/or contact the recruiter.------------------------------------------------------\nCiti 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.\nIf 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.\nView Citi’s EEO Policy Statement and the Know Your Rights poster.","description_format":"text","description_chars":6488,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual leave","Hybrid work","Life insurance","Parental leave"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Wealth Management & Financial Advisors","Payment Processing & Gateways","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-11-11T14:24:43Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Licensed 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