AVP - Data and Analytics

We are currently seeking an experienced professional to join our team in the role of AVP - Data and Analytics.

Principal responsibilities:

• Explore, cleanse and transform large volumes of customer, product, channel and interaction data across platforms including GCP and Hadoop.
• Develop cross-sell/NBA analytics, including propensity/uplift models, segmentation, eligibility rules and prioritisation logic.
• Engineer features from CRM and behavioural signals (e.g., digital journeys, RM activities, campaign responses) to improve model performance and interpretability.
• Build and iterate prototypes using Python/SQL and relevant tooling; create decision-ready dashboards and monitoring views in Looker.
• Partner with CRM, product and Business stakeholders to define use cases, success metrics and test-and-learn approaches (e.g., A/B testing, champion–challenger).
• Communicate modelling approach, assumptions, limitations and outcomes clearly to technical and non-technical audiences.
• Translate insights into actionable recommendations and implementation-ready artefacts (e.g., scoring outputs, business rules, playbooks, targeting lists).
• Drive continuous improvement through automation and modern tooling (including AI/LLM-enabled approaches where appropriate) to streamline analysis and delivery.
• Maintain strong engineering discipline (version control, documentation, reproducibility) and contribute to shared code assets.

Requirements:

• 6+ years’ experience in banking analytics/data science, with a structured and well-organised approach to delivery.
• Strong understanding of CMB products and operating model, with particular depth in CRM and customer engagement processes.
• Advanced Python and SQL skills, with proven experience analysing large datasets and performing complex statistical analysis.
• Demonstrated end-to-end delivery experience (development through implementation) in at least one of the following: recommendation/next-best-action, customer propensity modelling, uplift modelling, NLP/NLU, social network analysis, or path analysis (e.g., browsing behaviour or geolocation).
• Strong working knowledge of GCP services and analytics tooling; solid understanding of Hadoop concepts and ecosystem.
• Proven track record of converting data into insights and delivering measurable business impact (e.g., conversion uplift, increased product penetration, improved RM productivity).
• Strong stakeholder management, presentation and communication skills.
• Active GitHub contributor (or equivalent evidence of strong version control and collaborative coding practices).
• Excellent written and spoken communication skills in English.