Data and Analytics Manager

Key Skills

Java Programming, Python Programming, Azure, AWS, Google Cloud Platform (GCP), Amazon RedShift, SAS

Job Description

The health and safety of our employees and candidates is very important to us. Due to the current situation related to the Novel Coronavirus (2019-nCoV), we’re leveraging our digital capabilities to ensure we can continue to recruit top talent at HSBC. As your application progresses, you may be asked to use one of our digital tools to help you through your recruitment journey. If so, one of our Resourcing colleagues will explain how our video-interviewing technology will be used throughout the recruitment process and will be on hand to answer any questions you might have.

Some careers open more doors than others.

If you’re looking for a career that will unlock new opportunities, join HSBC and experience the possibilities. 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 experienced professional to join this team in the role of Data and Analytics Manager.

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 Wealth products and assess the impact of changes in pricing and marketing programs for business profitability

The role holder will be accountable to:

• 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, data-driven personalization & messaging capability, full cycle leads targeting, execution and tracking capability, sales management analysis and process improvement, etc.
• Conduct exploratory data mining and analysis to understand customer behaviours, experience, engagement and uncover opportunities
• 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
• Mine through large data sets to uncover trends, insights, and opportunities and apply relevant analytical methods / algorithms to get actionable insights from HSBC's internal (both structured and unstructured) and external data sources
• Driving Data Engineering pipelines to deploy new data sources to Google Cloud and performing logic rectification if there are errors.
• Deploy new or tweak existing business intelligence dashboards (Google Looker/Qlik Sense) to help organization move towards self-sufficiency when making decisions based on data
• Managing the Communication Messaging platform end to end, from campaign elaboration, campaign implementation and campaign tracking
• Execution and management of various reporting (internal and regulatory), campaign roll-outs and campaign fulfilments from relevant internal stakeholders.
• Execute various testing activities like UAT, regression testing and ensuring issues/defects are flagged off appropriately
• Perform ad hoc analysis and extracts using SAS, SQL and/or Google Big Query
• Build, Deploy and Test various ETL processes

Requirements

Requirements:

• Experience in the Financial Service or Banking sector
• 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 conceptualisation to final insight delivery & benefit quantification
• Exposure to building mathematical optimization solutions & scenario models would be desirable
• Strong analytical skills with hands on experience in various statistical modelling algorithms and its applications to business problems. Knowledge of forecasting, finance modelling techniques and machine learning algorithms is required.
• Proven experience leading analytics, Customer Relationships Management and business intelligence organizations in the Retail Banking industry
• Experience of working across senior levels of the organization to drive and influence change
• Solid understanding of Propositions and Products in Retail Banking

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation needed will be prioritised.