Assistant Vice President, Data Analytics – Wealth & Personal Banking

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Company Overview

A leading global financial institution, renowned for its extensive network and comprehensive financial services, is seeking a talented Data Analytics professional to join its Wealth and Personal Banking division. The organization is committed to delivering exceptional customer experiences through innovative, data-driven solutions and a focus on digital transformation.

Job Description

Assistant Vice President, Data Analytics – Wealth & Personal Banking

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join and discover how valued you’ll be. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, opportunities, support and rewards will take you further.

Wealth and Personal Banking (WPB) helps deliver on its purpose of opening up a world of opportunity by providing customers with borderless banking and world-class wealth management through best-in-class, mobile-first capabilities and exceptional people. The international network and breadth of expertise enable support for individuals, families, business owners, investors and entrepreneurs. Wealth and Personal Banking has four key business areas responsible for efficiently bringing the best of to clients through a broad and relevant suite of wealth and retail banking capabilities: Asset Management, Global Private Banking & Wealth, Life, Retail Banking & Strategy and COO & Digital Transformation.

We are currently seeking a high calibre professional to join our team as an Assistant Vice President, Data Analytics.

Principal Responsibilities

• Data Analysis & Insights: Analyse large volumes of data to identify key insights related to product performance, customer behaviour and sales opportunities. Provide recommendations based on findings to guide strategic business decision
• Reporting & Visualization: Build and maintain dashboards, visualizations, and regular reports to monitor key metrics and trends. Present data insights clearly to both technical and non-technical stakeholders
• Portfolio Optimization: Provide actionable insights to optimize pricing strategies, product offerings, and cross-sell/up-sell opportunities for mortgages and payments products
• Campaign Analysis: Support marketing and product teams by analysing the campaign opportunity and post campaign analysis, providing recommendations for targeting criteria and improvement
• Process Improvement: Streamline data processes and reporting using automation tools to increase efficiency and reduce manual tasks
• Cross-Functional Collaboration: Work closely with product, marketing, digital, risk and sales teams to drive business decisions and deliver data-driven recommendations
• Ad-Hoc Analysis: Provide data-driven insights for ad-hoc business questions and initiatives
• Data Integrity & Quality: Ensure the accuracy and integrity of data by conducting audits, identifying gaps, and resolving data quality issues

Requirements

• Educational Background: Bachelor’s degree in data science, Mathematics, Statistics, Business or a related quantitative field
• Technical Expertise: Strong proficiency in SQL, Python and Excel. Experience with data visualization tools such as Qlik sense, Tableau or Power BI is a plus
• Analytical Ability: Proven ability to work with large, complex datasets and distill meaningful business insights from data
• Communication Skills: Excellent communication skills, both written and verbal, with the ability to translate technical findings into actionable insights for stakeholders across the organization
• Experience: 2-5 years of experience in data analytics, business intelligence, or product analysis. Experience in the financial services, payments is preferred but not required
• Ability to manage multiple tasks and work in a fast-paced, dynamic environment
• Experience with customer segmentation, propensity modelling, or credit risk analysis is a plus
• Knowledge of the mortgage and/or payments industry is preferred

Disclaimer

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