Manager Data and Analytics

3 weeks ago

Kuala Lumpur, Malaysia HSBC Full time

**Some careers grow faster than others.**

If you’re looking for a career that will give you plenty of opportunities to develop, join HSBC and your future will be rich with potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

Wealth and Personal Banking is our new global business combining Retail Banking and Wealth Management; and Global Private Banking, to become one of the world’s largest global wealth managers with USD1.4 trillion in assets. Across Asia, where wealth pools are growing faster than in any other region, HSBC’s wealth revenues grew 12% in 2019 (year-on-year) to USD5.7 billion. 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 ambitious individual to join our Wealth and Personal Banking team in the role of **Manager Data and Analytics** working together with colleagues to define, manage and achieve divisional business targets.

This is a key position to manage end-to-end data & analytics initiatives from ideation, design & development, deployment & commercialization in an agile working model. Primarily responsible to drive business analytics on product development/redesign across all WPB Customer Products & Propositions and assess the impact of changes in pricing and marketing programs for business profitability.

**Principal Responsibilities**:

- Manage end-to-end data & analytics initiatives from ideation, design & development, deployment & commercialization in an agile working model; able to manage / influence a wide range of partners / stakeholders from technology, business owners as well as senior management.
- Partnering with diverse business functions and HSBC business entities as well as country / regional analytics teams to identify & prioritize opportunities where Data & Analytics can add value; and provide analytics solutioning / quick prototypes that are relevant to business needs in the areas of (not limited to) persona development, signal / propensity-based targeting, sales management analysis and process improvement, etc.
- Conduct exploratory data mining and analysis to understand customer behaviours, experience, engagement and uncover opportunities. Also, for proposition & product development and support customer lifecycle contact management.
- Drive commercialization of analytics solutions by defining and tracking value-add in tangible, quantifiable measure such as incremental revenue generation, or cost avoidance, or cost reduction, etc.
- Design end to end ML/AI solutions: from understanding business requirements, data discovery and extraction, model development and evaluation, to production pipeline implementation.
- Lead projects related to text analytics, predictive modelling, data investigation, data development and opportunity identification.
- Drive delivery of Next Best Action recommendation engine powered by Machine Learning & Artificial Intelligence capabilities that combines predictive analytics, adaptive analytics to achieve hyper-personalization in all of our interactions with customers.
- Deliver data & analytic Pocks that allow the WPB business and stakeholders to identify new commercial / customer opportunities.

Requirements

**Requirements**:

- Minimum 3 years of experience of using Data Science or Machine Learning models to solve complex business problems.
- Degree qualification in a relevant business discipline, Economics, Marketing, Math, Statistics or other quantitative fields of study.
- Experience delivering a variety of ad hoc extracts, self-service visualisation, and complex automated reporting for business stakeholder.
- Proficiency in SAS, SQL, Python and/or other Data Science Languages.
- Exposure to building statistical or ML models for solving diverse business challenges and creating significant business value.
- Knowledge and exposure to cloud analytics platform such as GCP, AWS Redshift, Azure etc. would be a plus but not mandatory.
- Enthusiasm for proactively seeking, exploring and developing use cases for new data and/or tools/wider industry trends.
- Strong business acumen with out-of-the box thinking to drive improved business performance.
- Excellent written and verbal communication skills. Ability to develop and effectively communicate complex concepts and ideas.
- Experience in solving business problems end to end from conceptualization to final insight delivery & benefit quantification.
- Exposure to building mathematical optimization solutions & scenar

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