Personalisation Enablement Manager at Standard Bank - UK

Nairobi, Nairobi County, Kenya -

Full Time

Start Date

Immediate

Expiry Date

22 Jul, 26

Salary

0.0

Posted On

23 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Behavioural Science, Personalisation, Next Best Action, A/B Testing, SQL, Python, R, Econometrics, Causal Inference, Campaign Optimization, Customer Segmentation, Data Modelling, Customer Relationship Management, Experiment Design, Digital Journeys

Industry

Financial Services

Description

Company Description Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you. Job Description The Manager, Personalisation Enablement will contribute to the development and delivery of Stanbic Bank Kenya’s personalisation capabilities by applying behavioural science and data-driven insights to client data, product recommendations and customer engagement strategies. They will partner with Personal & Private Banking, Marketing, Digital, Data & Analytics and Country stakeholders to design and run experiments, translate insights into Next Best Action (NBA) and campaign use cases, and embed behaviourally informed nudges across digital journeys, communications and relationship-led advisory interactions. This role focuses on improving the customer experience and relevance of engagements, accelerating adoption of targeted wealth and banking solutions, and strengthening long-term client relationships, while ensuring responsible, compliant and measurable execution across platforms. Qualifications Type of Qualification: First Degree Field of Study: Economics, Statistics, Data Science, Mathematics, computer science or any related quantitative discipline Experience Required 5-7 years Experience in data analytics/behavioural science/ personalization within banking, insurance, wealth management, fintech, telco, or top-tier consulting. Demonstrated delivery of personalization use cases end-to-end (segmentation, Next Best Action, campaign optimization, recommendations) with measurable uplift (e.g., conversion, adoption, NPS, retention). Hands-on experience designing and running experiments (A/B testing, RCTs, test-and-learn), including hypothesis design, sample sizing basics, and readouts. Experience applying causal inference / econometrics (e.g., DiD, matching, IV/RDD where applicable) to estimate impact and avoid biased conclusions. Strong background working with customer data (transactional, digital behavioural, demographic), and translating insights into actions across app journeys, email/SMS, contact centre, and RM/advisory channels. Proven track record partnering across Product, Digital, Marketing, Data Analytics, Risk and Compliance to embed insights into Customer relationship management and decisioning tools. Experience operating in a regulated environment, with practical understanding of privacy/consent, responsible marketing, model risk/governance, and fair customer outcomes. Additional Information Behavioural Competencies: Client Focus Analytical Rigor Innovation Integrity Team Working Clear Communication & Story Telling Technical Competencies: Experiment Design & Measurement (A/B testing, test-and-learn) Data Analysis & Modelling (segmentation, propensity, uplift / NBA) Data Skills (SQL) or analytics tools (Python/R) Personalisation & Campaign Execution (CRM, journeys, triggers Business Segment: Personal & Private Banking

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Responsibilities

The manager will develop and deliver personalisation capabilities by applying behavioural science and data-driven insights to client engagements. They will design experiments and translate insights into actionable strategies across digital and relationship-led channels.