VP, Data Analytics Engineering — Python + AI for Finance

Citigroup Inc.; Tampa (FL); On-site; USD 150,000 - 200,000; Full time

Job summary

Citigroup Inc. seeks a Vice President, Data Analytics Developer to lead the design, development, and maintenance of analytics applications and data pipelines for Prime Services Technology.

The role emphasises hands-on engineering, production-grade software, and collaboration with traders and analysts to deliver actionable insights. Strong Python expertise is required, with Java knowledge a plus for JVM-based services; familiarity with modern data platforms and AI-assisted tooling will drive

Qualifications

• Hands-on software engineering in financial data domains.
• Proven ability to design and build production-grade data systems.
• Experience with AI-assisted development tools to improve productivity.
• Strong knowledge of the trade lifecycle data (orders, executions, trades).
• Ability to collaborate with quantitative analysts and business stakeholders.

Responsibilities

• Design, build, and maintain data analytics apps and pipelines focused on Python; Java for existing services.
• Leverage AI-assisted tools to accelerate delivery and improve code quality.
• Develop data sourcing integrations across Prime Services and Markets Technology.
• Create analytics dashboards for business users and analysts to derive insights.
• Write robust, testable code; participate in reviews and adopt best practices.
• Architect scalable data solutions for large orders, trades, and positions.

Skills

Python

Java

AI-assisted tools

Data engineering

Big data pipelines

Stakeholder comms

Tools

GitHub Copilot

Devin

Claude

Job description

Citigroup Inc. seeks a Vice President, Data Analytics Developer to lead the design, development, and maintenance of analytics applications and data pipelines for Prime Services Technology.

The role emphasises hands-on engineering, production-grade software, and collaboration with traders and analysts to deliver actionable insights. Strong Python expertise is required, with Java knowledge a plus for JVM-based services; familiarity with modern data platforms and AI-assisted tooling will drive