Senior Retail Analytics Manager

This role will be responsible for designing, developing, integrating, and implementing analytics-driven, customer-centric information systems and business solutions. Using state-of-the-art Big Data and AI (Machine Learning) techniques, the role involves developing descriptive, predictive, and optimization models. These efforts aim to enhance revenue generation, reduce customer churn, and improve operational efficiency, aligning with the requirements identified by internal business teams and stakeholders.

• Manage end-to-end performance tracking of marketing campaigns, ensuring timely and accurate analysis of effectiveness and ROI.
• Design and deploy sophisticated marketing analytics techniques including predictive modelling, segmentation, clustering, and pricing strategies to meet diverse business needs.
• Collaborate closely with cross-functional business teams to uncover growth opportunities through customer activation, upgrades, cross-selling, deepening relationships, and retention across varying client segments.
• Translate business requirements into analytics solutions that are delivered within agreed timelines, driving lead generation and contributing to the achievement of Retail Clients P&L objectives.
• Develop and implement multi-factor campaign testing frameworks, examining response patterns to variations in product bundles, pricing strategies, risk parameters, creative content, and distribution channels.
• Identify and execute productivity improvements by increasing lead volume, boosting customer consumption, enhancing conversion rates, and maximising profitability per campaign.
• Ensure adherence to operational procedures that comply with the Bank’s global strategy, process standards, and risk management frameworks, embedding a robust control environment.
• Provide expert analytical coaching and training to team members to enhance overall team capability and foster continuous learning.
• Encourage and support team participation in high-impact projects to cultivate potential and enhance individual development.
• Build and maintain effective, collaborative partnerships across various functions and regional teams within the Group to support integrated business solutions.
• Build a reputation as a trusted, knowledgeable, and dependable member of the Country Retail Analytics team, driving initiatives with professionalism and integrity.

Technical Proficiencies and Analytical Skills:
Demonstrated experience with modern data mining and machine learning tools, including the application of customer scoring methods such as propensity models, campaign targeting analytics, and CRM optimisation techniques. Proficient in SQL Server, MS Visual Studio .Net, VBA, SAS, Excel, MS Access, and other relevant database and information management systems. Skilled in automating analytic processes to improve efficiency and accuracy.

Business Knowledge and Strategic Insight:
Strong comprehension of banking products and services including Deposits, Wealth Management, and Lending tailored to Personal, Priority, and Business Clients. Deep understanding of the drivers behind profitability and risk within the retail banking sector, coupled with the ability to exert thought leadership by creating, rationalising, and organising complex concepts and strategies.

Leadership and Interpersonal Skills:
Excellent interpersonal, presentation, and communication capabilities, with proven ability to influence stakeholders and foster cross-functional collaboration. Demonstrated ownership and accountability for delivering measurable results, coupled with a customer-centric mindset focused on delivering solutions, excellent service, and relationship management. Dynamic leadership qualities as a change agent, characterised by innovation, passion, and the drive to steer transformational initiatives.

Motivational and Performance Attributes:
Committed to continuous personal and professional growth, motivated by performance-linked incentives, and eager to contribute actively to a high-performing team environment. Able to network effectively and communicate with presence, to inspire and engage colleagues and stakeholders alike.

Relevant academic qualifications may include a Bachelor's or Master's degree in disciplines such as Data Science, Computer Science, Business Analytics or a related field. Professional certifications in analytics, machine learning, or database management (e.g., Certified Analytics Professional, SAS certification, Microsoft Certified: Data Analyst Associate) would be advantageous.

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.