Senior Manager, Client Intelligence

In compliance with applicable laws, HSBC is committed to employing only those who are authorized to work in the US. Applicants must be legally authorized to work in the U.S. as HSBC will not engage in immigration sponsorship for this position.

Our purpose – Opening up a world of opportunity – explains why we exist. Here at HSBC, we use our unique expertise, capabilities, breadth, and perspectives to open up new kinds of opportunity for our more than 40 million customers. We’re bringing together the people, ideas and capital that nurture progress and growth, helping to create a better world – for our customers, our people, our investors, our communities, and the planet we all share.

The Client & Banking Analytics (CBA) team within Corporate and Institutional Banking (CIB) transforms data with strategic analytics, driving insight, innovation, and commercial performance across HSBC. As the business owner of Omnia and CME, Client & Banking Analytics (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.

As Senior Manager within the Client Intelligence pillar, you will be a key data science expert in the Client & Banking Analytics (CBA) team. 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.

As our Senior Manager, Client Intelligence you will:

• 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
  
• Translate complex data insights into actionable commercial strategies and recommendations that drive CIB growth and returns
  
• 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
  
• Collaborate with data engineering and technology to ensure high-quality data access, manage governance, and explore new data sources
  
• Articulate complex analytical concepts, methodologies, and findings to both technical and non-technical audiences, including frontline bankers

The final fixed pay offer will depend on the candidate and a number of variables, including but not limited to, role responsibilities, skill set, depth of experience and education, licensing/certification requirements, internal relativity, and specific work location.

At HSBC, our overall goal is to provide a competitive Total Reward Package, with an appropriate mix of fixed pay, and variable pay, as part of an employee’s overall total compensation and benefits. Variable pay generally takes the form of discretionary, annual awards (sometimes referred to as a “bonus”). Additionally, HSBC offers a wide range of competitive and flexible benefits designed to help you improve your health and well-being, finances, and lifestyle.

You´ll likely have the following qualifications to succeed in this role:

• Proven expertise in data science, machine learning, statistical modelling, and predictive analytics. Proficient in Python, R, and SQL. Hands-on experience with big data (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP), and data visualization tools (Tableau, Power BI)
  
• 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
  
• 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
  
• Ability to operate effectively in a fast-paced, complex global matrix organization and foster strong, collaborative partnerships across products, regions, and functions
  
• Master’s or Ph.D. preferred in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Economics, or a related discipline
  
• Experience in data science or advanced analytics, preferably within financial services with a focus on commercial/corporate banking, credit, rates, payments, trade, or cash management

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming and inclusive work environment. You will be empowered to drive HSBC’s engagement with the communities we serve through an industry-leading volunteerism policy, a generous matching gift program, and a comprehensive program of immersive Sustainability and Climate Change Initiatives. You’ll want to join our Employee Resource Groups as they play a central part in life at HSBC, including the development of our employees and networking inside and outside of HSBC. We value difference. We succeed together. We take responsibility. We get it done. And we want you to help us build the bank of the future!

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, race, national origin, ethnicity, disability or medical condition, genetic information, military or veteran service, religion, creed, sex, gender, pregnancy, childbirth, caregiver status, marital status, citizenship or immigration status, sexual orientation, gender identity or expression or any other trait protected by applicable law.