Sr. Data Analytics Developer - VP - Hybrid

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

The Vice President, Data Analytics Developer is a senior individual contributor role within Equities & Prime Services Technology, focused on designing, building, and maintaining high-quality data analytics applications and pipelines. This position requires deep hands-on engineering expertise, strong financial data domain knowledge, and the ability to partner closely with business stakeholders and quantitative analysts to deliver impactful analytics solutions.

Prime Services Technology provides business solutions to Prime Brokerage, Equity Finance, Delta One, Futures Execution and Clearing, and OTC Clearing businesses. The Data Analytics Developer will be a core member of the Prime Services Data team, responsible for developing analytics applications, data sourcing integrations, and data quality solutions — working collaboratively with other Markets teams that rely on Prime data.

The ideal candidate is a strong hands-on engineer with deep expertise in Python, complemented by solid knowledge of financial data across the trade lifecycle — including orders, executions, trade processing, and position management. Experience with Java is a strong plus given existing services built on the JVM stack. The candidate will thrive in an environment that requires close collaboration with business stakeholders, quantitative analysts, and technology teams, translating complex requirements into elegant, production-grade software solutions. As part of a global team spanning the US and UK, the candidate will also support production processes and batch jobs that run during Asia morning hours, ensuring operational stability and providing timely resolution.

Excellent communication skills are essential to work effectively with business leaders, quantitative analysts, and technology teams across Markets Technology.

Key Responsibilities

Hands-On Engineering & Development

• Design, develop, and maintain data analytics applications and pipelines with a primary focus on Python; leverage Java where applicable for existing services and integrations
• Actively leverage AI-assisted development tools (such as GitHub Copilot, Devin, and Claude) to accelerate engineering delivery, improve code quality, and drive innovation; contribute to the design and development of AI-powered monitoring agents that enhance operational visibility and automate routine production workflows
• Build and optimize data sourcing integrations to ingest data from multiple platforms within Prime Services and Markets Technology
• Develop analytics tools and dashboards that enable business users and quantitative analysts to derive actionable insights from financial data
• Write production-quality, well-tested, and maintainable code; participate in code reviews and uphold engineering best practices
• Architect scalable data solutions for processing large volumes of orders, executions, trades, and position data
• Implement and maintain batch processing jobs and automated workflows for data transformation and distribution
• Troubleshoot and resolve complex technical issues across the data platform stack
• Leverage modern data platform technologies — including data mesh architectures (Trino/Starburst), object storage (S3), distributed streaming (Kafka), and large-scale data processing (Spark) — to build performant, scalable solutions

Production Support & Global Operations

• Support production processes and batch jobs that run during Asia morning hours, ensuring timely execution and prompt issue resolution
• Coordinate with the global team across US and UK to ensure seamless handoffs and operational continuity
• Contribute to monitoring, alerting, and incident response procedures for critical data pipelines
• Drive root cause analysis and implement permanent fixes for production issues
• Contribute to operational resilience and business continuity for data-critical processes

Business Partnership & Requirements Gathering

• Work closely with key business SMEs and Quantitative Analysts to develop an in-depth understanding of their critical data and analytics needs
• Gather and translate complex business requirements into clear technical specifications and actionable engineering solutions
• Recognize patterns of data needs across multiple business requirements and address them through efficient, reusable solutions
• Partner with other Markets teams that need data from Prime Services to ensure seamless data sharing and collaboration
• Support the implementation of data visualization tools and platforms for analytics and reporting

Data Sourcing & Quality

• Contribute to data sourcing efforts to integrate data from multiple platforms within Prime Services and Markets Technology
• Ensure data accuracy, completeness, and timeliness across all analytics outputs. Implement and monitor data quality rules, validation frameworks, and remediation processes
• Maintain metadata and data lineage documentation for analytics pipelines
• Adhere to enterprise data standards and regulatory requirements

Required Qualifications

Experience

• 8–10 years of experience in software engineering, data engineering, or data analytics within Banking or Financial Services
• Strong hands-on engineering background with a proven ability to design, build, and maintain production-grade data systems as an individual contributor
• Demonstrated experience using modern AI-assisted development and testing tools (e.g., GitHub Copilot, Devin, Claude, or equivalent) to improve engineering productivity and code quality; hands-on experience building or contributing to AI-powered agents — particularly for monitoring, alerting, or workflow automation — is strongly preferred
• Solid business knowledge of financial data, particularly in Markets — including orders, executions, trade processing, position management, and related trade lifecycle data; Prime Services / Prime Brokerage background is a plus
• Experience working directly with quantitative analysts and business stakeholders to translate requirements into technical solutions
• Experience supporting global production environments, including off-hours batch processing and operational support

Technical Skills

• Programming Languages: Strong hands-on proficiency in Python for building data pipelines, analytics tools, and production applications; knowledge of Java is a plus for working with existing JVM-based services
• Data Platforms (Plus): Familiarity with data mesh technologies such as Trino/Starburst, object storage (S3), distributed stream processing (Kafka), and large-scale data processing frameworks (Spark) is highly preferred
• AI Development & Tooling: Proficiency with modern AI-assisted coding and testing tools (GitHub Copilot