Associate Director, Client Intelligence - Corporate and Institutional Banking
HSBCGCB 4
About the Team:
The Client & Banking Analytics (CBA) team within CIB transforms data with strategic analytics, driving insight, innovation, and commercial performance across HSBC. As the business owner of Omnia and CME, CBA is instrumental in driving their strategic development to simplify data analytics, enhance business intelligence, and ultimately drive client and shareholder excellence. We deliver data-driven insights to optimize investment across clients, products, channels, and resources, and to enhance pricing. Through disciplined governance, consistent methodology, and fact-based analysis (including client peer benchmarking, wallet sizing, and customer feedback), CBA fosters business optimization, strengthens CIB partnerships, and provides critical insights for shaping CIB’s commercial strategy.
The Role:
As Senior Manager within the Client Intelligence pillar, you will be advanced analytics expert in the Client & Banking Analytics (CBA) team, combining deep data science expertise with the responsible use of approved AI, to unlock scalable insights and move from question to action faster. Your primary focus will be to commercialize HSBC's internal client data, integrating external datasets to deliver cutting-edge insights. The primary objective is to identify growth opportunities, define high-potential clients, measure and optimize customer value to deliver commercially oriented insights guiding investment across clients, products and channels. This role directly empowers strategic and commercial decision-making for CIB leadership and the frontline.
Key Responsibilities:
- Advanced Analytics & Data Science: Lead the design, development, and deployment of sophisticated analytical models (predictive, machine learning, statistical) for client profiling, wallet sizing, customer value measurement, and sales growth. Champion the responsible use of approved AI tools, to improve speed, quality, and scalability of insight delivery.
- Commercial Impact & Insight Generation: Translate complex data insights into actionable commercial strategies and recommendations that drive CIB growth and returns.
- Stakeholder Engagement: Partner with frontline teams, product sales, and servicing to understand their analytical needs, present compelling findings, and ensure the successful adoption and integration of data-driven solutions.
- Data Sourcing & Governance: Collaborate with data engineering and technology to ensure high-quality data access, manage governance, and explore new data sources.
- Communication: Clearly articulate complex analytical concepts, methodologies, and findings to both technical and non-technical audiences, including frontline bankers.
Skills & Experience:
- Technical Expertise: Proven expertise in data science, machine learning, statistical modeling, and predictive analytics. Proficient in Python is required. Hands-on experience with R & SQL , big data (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP), and data visualization tools (Tableau, Power BI) is highly preferred. Experience using AI-enabled analytics, including agentic workflows, to accelerate model development, automation, and insight generation.
- Domain Knowledge: Deep understanding of Corporate and Institutional Banking products, client segments, and commercial drivers. Demonstrable experience in commercial analytics, client segmentation, wallet sizing, client profiling, and peer benchmarking.
- Leadership & Influence: Demonstrate thought leadership and innovative problem-solving. Strong communication and presentation skills, with a track record of driving actionable insights and influencing the frontline. Strategic mindset with commercial acumen and a passion for leveraging data.
- Organizational Agility: Ability to operate effectively in a fast-paced, complex global matrix organization and foster strong, collaborative partnerships across products, regions, and functions.
Qualifications:
- Masters or Ph.D. preferred in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Economics, or a related discipline.
- Extensive years of experience in data science or advanced analytics, preferably within financial services with a focus on commercial/corporate banking, credit, rates, FX, payments, trade, or cash management.
Opening up a world of opportunity
http://www.hsbc.com/careers
HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
Issued by The Hongkong and Shanghai Banking Corporation Limited.
https://www.youtube.com/embed/QmZ7Un5gR8c?si=LCa6slfBqlUlxUE-