VP, Team Lead, Data/Business Analyst , Consumer Banking Group Singapore Data

VP, Team Lead, Data/Business Analyst , Consumer Banking Group Singapore Data Chapter, Group Transformation and Data - (WD73763)

Business Function

The Consumer Banking Group Data Chapter is committed to building a data driven organization and maximizing the key data capabilities to transform how CBG does business. Data impacts CBG’s businesses every day, and a culture of relentlessly using data and business intelligence will enable CBG to achieve exponential growth.

About the role

Your role is also crucial as a subject matter expert to drive adoption of Control Towers for decision making and promote learning through experiments.

• Lead data driven decision making for Credit Cards Portfolio
• Understand credit card products and consumer credit lifecycle – origination, activation, management, and retention/attrition.
• Understand various aspects of card payments and the processes involved – types of payment methods, channels, transaction types, etc.
• Understand customer engagement methods - prospecting, click through journey, portfolio management, etc
• Work closely with Product, Marketing, Risk, Regional, Finance and Operations teams to develop new strategies, build seamless customer journeys, drive better customer experience.
• Create customer and business impact
• Utilize Data Driven Operation Model (DDOM) to maximize value from data and drive business impact with product partners
• Drive cognitive and automated banking initiatives through Machine learning models development and automation of control towers
• Identify key trends, provide insights on performance & causality and identify opportunities to deepen customer engagement
• Be customer obsessed. Drive deeper understanding of consumer needs and preferences Analyse customer behaviour and help design campaigns/experiments to drive customer engagement and marketing effectiveness

Requirements

• Bachelor's degree (or higher) with 10+years of progressive analytics experience and deep understanding of credit card products
• Preferred but not mandatory: Past experience in data management and analytics in the banking/fintech/financial consulting industry
• Understanding of analytics strategies and models to ensure business readiness and applicability
• Capable to carry out expert dialogues with stakeholders and product partners

• Well-versed with data analytics techniques like descriptive, predictive, prescriptive, ML and AI.
• Strong analytical and problem solving skills; highly numerate with keen eye for details and accuracy.
• Proficiency in coding skills and ability to run queries for data extraction.
• Preferred knowledge on statistical languages including SQL, Python, Pyspark
• Preferred but not mandatory: proficiency in data visualization tools such as Qliksense

• Self-starter and growth mindset; open to transformation capabilities in the organisation.
• Strong analytical and problem solving skills; highly numerate with keen eye for details and accuracy.
• Communication and presentation skills - ability to explain complex concepts with simplicity; ability to handle difficult conversations with stakeholders and product partners with discerning tact.
• Leadership and collaborative skills; ability to effectively guide and lead while collaborating effectively with peers in cross-functional teams