FX gen AI engineer

The FX Data Analytics & AI Technology team, within Citi's FX Technology organization, seeks a highly motivated Senior Gen AI Engineer. The 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.

• Engineer production scale FX data and analytics Gen AI solutions for various FX use cases using modern Gen AI technologies
• Collaborate with stakeholders across sales and trading to understand data needs, translate them into impactful data-driven solutions, and deliver these in partnership with technology.
• Develop and integrate functionality to ensure adherence with best-practices in terms of data management, need-to-know (NTK), and data governance.
• Contribute to shaping and executing the overall data strategy for FX in collaboration with the existing team and senior stakeholders.
• Closely work with FX desks in understanding the requirements and translating into simple and efficient design.
• Close interaction with Traders and Quants to understand new requirements for applications across the platform
• Design, Development, Testing of new features in the applications.
• Continual improvement of the software development lifecycle and quality of the product.
• Help deliver large scale projects through hands-on development and technical leadership.
• 3rd line support of the production system (dedicated 24h support teams handle 1st / 2nd line).
• Mentoring junior members of the team.

• Master’s degree or above (or equivalent education) in a STEM discipline.
• Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate.
• Hands on experience coding the Gen AI applications using Python or / and Go / Rust
• Excellent 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).
• Experience developing and implementing Machine learning models from data in a financial context.
• Proficiency working with version control systems such as Git, and familiarity with Linux computing environments.
• Experience working with different database and messaging technologies such as SQL, KDB, MongoDB, Kafka, etc.
• Experience working with different caching technologies like Redis.
• Familiarity with data visualization and ideally development of analytical dashboards using Python and BI tools.
• Excellent communication skills, both written and verbal, with the ability to convey complex information clearly and concisely to technical and non-technical audiences.
• Будет плюсом: Ideally, some experience working with CI/CD pipelines and containerization technologies like Docker and Kubernetes; Understanding of modern Gen AI technologies like Agents , MCP; Long Chain / Llama Index; Fine tuning of Models; KDB knowledge; Ideally, 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; A working knowledge of FX markets and financial instruments would be beneficial

• By 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:
• 27 days annual leave (plus bank holidays)
• A discretional annual performance related bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends
• Access to an array of learning and development resources