Data Analytics Lead - SVP - Hybrid

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Lead data analytics for Citi’s Prime Services, driving insights and engineering excellence in a hybrid Hong Kong role.

Senior VP needed to manage a team, design pipelines, and partner globally across markets and technology.

Data Analytics Lead - SVP - Hybrid

Location: Kowloon, Kowloon City, Hong Kong SAR

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Job Overview

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.

Key Responsibilities

Hands-On Engineering & Development

• 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

Leadership & Team Management

• 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

Production Support & Global Operations

• 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

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 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

Data Sourcing & Quality

• 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

Required Qualifications

Experience

• 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

Technical Skills

• 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
• 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

Communication & Interpersonal Skills

• 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

Education

• Bachelor's/University degree or equivalent experience, preferably in Computer Science, Information Systems, Mathematics, Statistics, Engineering, or related quantitative field
• Master's degree or advanced certifications in relevant fields preferred

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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