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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. The 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.
Job Responsibility:
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
Requirements:
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
Ideally, some experience working with CI/CD pipelines and containerization technologies like Docker and Kubernetes
Nice to have:
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
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