Job description

Wealth and Personal Banking is our new global business combining Retail Banking and Wealth Management; and Global Private Banking, to become a global wealth manager with USD1.4 trillion in assets.  Our dedicated colleagues serve millions of customers worldwide across the entire spectrum of private wealth, ranging from personal banking for individuals and families, through to business owners, investors and ultra-high-net-worth individuals.  We provide products and services such as bank accounts, credit cards, personal loans and mortgages, as well as asset management, insurance, wealth management and private banking, that best suit our customers’ needs.

We are currently seeking an experienced professional to join our team.

In this role, you will:

   Contribute to the establishment of consistent, best-in-class Analytics capability supporting the RBWM ASP HSBC Insurance business but also simultaneously joining up with the rest of the HSBC Group.

   Architect end-to-end analytics solutions from collaborating with IT on proper data infrastructure, to assemble and perform data science techniques, to integrate such solution into the overall technology environment for production in a highly digital environment

   Manage a direct team of data scientists & analysts, pioneer innovation by proactively linking new data & analytics trend to business need, and proactively drive in-house data science capability specifically in areas of sophisticated machine learning, deep learning and AI, provide thought leadership and delivery management on daily basis

   Enforce and monitor standards for the application of analytics across the businesses.

   Scope and define analytics need from stakeholders, deliver towards a data and analytics agenda on annual and ongoing basis and mobilize resources in the CoE to carry out such plans.

   Mature advanced analytics capabilities that further enable the personalisation and increased relevance of customer experiences, across all channel touch points.

   Enable and execute sales performance productivity analytics

   External data collaboration and commercialization

   Establish and maintain a global best practice sharing environment for all aspects of new advanced analytics capabilities, new data sources as well as relevant fintech capabilities

   The role holder shall also be expected to guide and lead team members from a functional perspective and help them build up a strong business understanding.


To be successful in the role, you should meet the following requirements:

   12+ years of experience of using statistical concepts & machine learning models to solve complex business problems

   At least Master's degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Management or other quantitative fields of study

   Proven experience in building and leading a modelling and analytics function in a large scale organization

   Prior experience in building models and quantitative solutions

   Collaborate with leaders to drive usage of analytics services by various business communities

   Develop and enhance the capability and expertise of the team by providing the effective coaching and on-job training

   Build a culture committed to the delivery of outstanding customer service and open, transparent, honest team environment

   Effectively engage in a matrix structure to drive transformation goals for the organization

   Excellent written and verbal communication skills. Ability to develop and effectively communicate complex concepts and ideas

   Execute for results and build diverse teams

   Master or PhD in relevant quantitative disciplines such as Statistics, Mathematics, Computer Science, Engineering, Operations Research, Physics or a related discipline with a focus on use of analytics and optimization to influence business decisions.

   Experienced in leveraging business analytics and machine learning algorithm to drive business growth, identify product proposition or enhance retail banking customer journey, etc.

   Hands-on knowledge in one of the following data analytics domains: machine learning, natural language processing/generation, computer vision, deep learning and advanced analytics.

   Strong retail banking and/or life insurance products or wealth management business knowledge and knowledge of profitability model

   Experience in working with cloud-based data ecosystems (e.g. data lake, AWS, GCP, etc.). Scripting language capabilities in Python, R, SAS, Java or Scala

   Able to translate complex business problems into analytical requirements and propose actionable solutions based on internal and external best practice.


You’ll achieve more when you join HSBC.


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 and inclusive and diverse environment. Personal data held by the Company relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website./PH#LI-HSBCPH


Issued by HSBC FinTech Services (Shanghai) Company Limited