VP, Data Analytics Developer – AI-Driven Data Pipelines

Citi; New York (NY); Hybrid; USD 114,000 - 171,000; Full time

Job summary

Citi is seeking a Sr. Data Analytics Developer - VP to design and build high-quality data analytics applications and pipelines in a hybrid environment in the US. You will work with Prime Services Data team, feeding business insights to quantitative analysts and stakeholders across Markets Technology.

The role emphasizes hands-on engineering with Python, Java, AI tools, and modern data platforms, supporting production processes across US/UK teams and Asia batch windows.

Qualifications

• 8–10 years of software/data engineering experience in Banking or Financial Services.
• Hands-on engineering with production-grade data systems as an individual contributor.
• Experience using AI-assisted development and testing tools to boost productivity.

Responsibilities

• Design, develop, and maintain data analytics applications and pipelines with Python; Java for existing services.
• Develop AI-powered monitoring agents to enhance operational visibility and automate workflows.
• Build data sourcing integrations from multiple platforms within Prime Services and Markets Technology.
• Create analytics tools and dashboards for business users and quantitative analysts.
• Write tested, maintainable code; participate in code reviews and best practices.
• Architect scalable data solutions for large volumes of orders and trades.

Skills

Python

Java

AI-assisted development tools

Data pipelines

SQL

Kafka

Spark

Collaboration with stakeholders

Financial data domain

Data quality

Education

Bachelor's in Computer Science or related field

Master's degree preferred

Tools

GitHub Copilot

Devin

Claude

JVM-based services

Job description

Citi is seeking a Sr. Data Analytics Developer - VP to design and build high-quality data analytics applications and pipelines in a hybrid environment in the US. You will work with Prime Services Data team, feeding business insights to quantitative analysts and stakeholders across Markets Technology.

The role emphasizes hands-on engineering with Python, Java, AI tools, and modern data platforms, supporting production processes across US/UK teams and Asia batch windows.