Data Analytics Lead Job at Citi (Kowloon)

Job Description

The Senior Vice President, Data Analytics Lead is a senior leadership role within Prime Services Technology, responsible for managing and directing the data analytics platform, data gathering, tooling, and driving the overall data strategy for the Prime Services Data team. This position requires a comprehensive understanding of financial data related to global markets and the ability to extract actionable business intelligence from it.

Job Responsibility

Design, develop, and maintain data analytics pipelines and platforms using Python and Java
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 insights from financial data
Write production-quality, well-tested, and maintainable code
participate in code reviews and enforce 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
Manage and lead a small team of developers and data analysts, providing hands-on technical guidance and mentorship
Be the escalation point for the local business and production support teams
Provide technical direction, mentorship, and professional development opportunities for team members
Foster a culture of engineering excellence, collaboration, and continuous improvement
Oversee resource allocation, task prioritization, and team performance management
Maintain high standards of code quality, testing, and operational reliability across the team
Oversee and support production processes and batch jobs that run during Asia morning hours, ensuring timely execution and issue resolution
Coordinate with the global team across US and UK to ensure seamless handoffs and 24-hour operational coverage
Establish and maintain monitoring, alerting, and incident response procedures for critical data pipelines
Drive root cause analysis and implement permanent fixes for production issues
Ensure operational resilience and business continuity for data-critical processes
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 technical specifications and actionable engineering solutions
Consult with business clients across Prime Brokerage, Equity Finance, Delta One, Futures Execution and Clearing, and OTC Clearing to identify data analytics requirements
Recognize patterns of data needs across multiple business requirements and determine how to address them through efficient, reusable solutions
Partner with other Markets teams that need data from Prime Services to ensure seamless data sharing and collaboration
Guide the implementation of data visualization tools and platforms for analytics and reporting
Lead 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
Establish and monitor data quality rules, validation frameworks, and remediation processes
Oversee metadata management and data lineage documentation for analytics pipelines
Drive compliance with enterprise data standards and regulatory requirements

Requirements

12+ years of experience in software engineering, data engineering, or data analytics within Banking or Financial Services
Strong hands-on engineering background with proven ability to design, build, and maintain production-grade data systems
Proven track record of managing small technical teams while remaining a significant individual contributor
Deep business knowledge of financial data, particularly in Markets business — including orders, executions, trade processing, position management, and related trade lifecycle data. Prime Services / Prime Brokerage background strongly preferred
Experience working 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
Experience working at senior levels with executive stakeholders and business leaders
Programming Languages: Strong hands-on proficiency in Python and Java for building data pipelines, analytics tools, and production applications
Data Integration: Extensive knowledge of data ingestion and distribution frameworks, both enterprise and open-source
Financial Data Domain: Deep understanding of markets financial data — orders, executions, trade processing, position management, P&L, risk, and reference data
Distributed Systems: Experience with distributed messaging systems such as Kafka and distributed caching services such as Gemfire/Redis
Database Technologies: Proficient in SQL and various database management systems (relational and NoSQL)
Batch Processing: Experience designing and managing batch jobs, schedulers, and workflow orchestration tools
Data Quality: Expertise in data quality frameworks, validation techniques, and remediation strategies
DevOps & CI/CD: Familiarity with CI/CD pipelines, containerization, and deployment automation
Excellent verbal and written communication skills with the ability to present to executive audiences
Strong ability to work with quantitative analysts and business SMEs to understand complex data requirements
Demonstrated ability to interact and work effectively with diverse, globally distributed teams
Ability to work under pressure, facilitate discussions, and conduct group meetings
Strong diplomacy skills required to exchange complex information across business and technology stakeholders
Bachelor's/University degree or equivalent experience, preferably in Computer Science, Information Systems, Mathematics, Statistics, Engineering, or related quantitative field

Nice to have

Data Platform Architecture: Experience building and maintaining data lakes, data warehouses, and analytics platforms (on-premises and cloud) is preferred
Data Visualization: Experience implementing data visualization tools and platforms for analytics and reporting is a plus
Master's degree or advanced certifications in relevant fields preferred

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