VP, Gen AI FX Engineering — Hybrid (WFH 2 days)

Citi Group; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Citi London is hiring a Senior Gen AI Engineer to build data-driven FX analytics and Gen AI solutions. You will craft scalable data pipelines, partner with FX sales/trading, and implement robust data governance to support strategic data initiatives.

The role requires strong Python/Gen AI capability, experience with ML in finance, and collaboration across traders, quants, and technology. Hybrid work model with occasional on-site collaboration.

Qualifications

• Master's degree or above in a STEM discipline.
• Hands-on software engineering experience.
• Proficient in Gen AI applications with Python or Go/Rust.
• Strong Python skills with data/ML libraries and visualization.
• Experience building ML models in finance.
• Proficient with Git and Linux environments.
• Experience with SQL, MongoDB, Kafka, etc.
• Familiarity with Docker, Kubernetes, CI/CD.

Responsibilities

• Engineer production-grade FX data and analytics Gen AI solutions.
• Collaborate with sales/trading stakeholders to define data needs and deliver solutions.
• Ensure data governance and NTK compliance in implementations.
• Contribute to the FX data strategy and architecture with the team.
• Work with FX desks to translate requirements into designs.
• Interact with Traders and Quants to refine requirements.
• Design, develop, test new features in applications.
• Improve SDLC and product quality; lead projects.

Skills

Gen AI development

Python programming

Software engineering

Data analysis

Git & Linux

SQL/NoSQL

Docker/Kubernetes

Data visualization

Communication

Education

Master's degree in STEM

Tools

Git

Docker

Kubernetes

Kafka

MongoDB

KDB

Redis

Job description

Citi London is hiring a Senior Gen AI Engineer to build data-driven FX analytics and Gen AI solutions. You will craft scalable data pipelines, partner with FX sales/trading, and implement robust data governance to support strategic data initiatives.

The role requires strong Python/Gen AI capability, experience with ML in finance, and collaboration across traders, quants, and technology. Hybrid work model with occasional on-site collaboration.