FX Gen AI Engineer - (Python) - VP
Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 10, 2026. Citi scores A on the Alion truth index.
Overview
Citi 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.
What We do / The Team
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. 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.
Role Overview/What will you do:
- As 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.
- 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.
Key Skills and Experience required -
- 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.
Any Beneficial / Nice to have skills and experience:
- 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.
- undefined
What we’ll provide you
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
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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