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Manager – Personalisation Quant Analytics Job at Stanbic Bank | Apply Now
Kampala, Uganda
Full Time
Are you looking for Management jobs in Uganda 2025 today? then you might be interested in Manager – Personalisation Quant Analytics Job at Stanbic Bank
About the Organisation
Stanbic Bank is one of Uganda's largest and most reputable financial institutions, known for its extensive range of banking products and services tailored to meet the needs of individuals, businesses, and corporations. As a member of the Standard Bank Group, which is Africa's largest banking group by assets, Stanbic Bank benefits from a strong financial foundation and access to a broad network of resources and expertise.
The bank offers a variety of services including personal banking, business banking, corporate and investment banking, and wealth management. Stanbic Bank's personal banking services include savings and current accounts, loans, mortgages, and credit cards, designed to help individuals manage their finances effectively. For businesses, the bank provides customized solutions such as business accounts, trade finance, and cash management services, aimed at supporting the growth and operational efficiency of SMEs and large enterprises.
Stanbic Bank is also a leader in digital banking innovation, offering advanced online and mobile banking platforms that provide customers with convenient, secure, and efficient access to their accounts and banking services. This commitment to technology ensures that clients can manage their finances anytime and anywhere, enhancing their overall banking experience.
The bank is deeply committed to corporate social responsibility, actively participating in initiatives that promote education, health, and economic development in Uganda. Through programs such as the Stanbic National Schools Championship and various community development projects, the bank invests in the future of Ugandan society, reflecting its dedication to making a positive impact.
Stanbic Bank's strong reputation for reliability, customer service excellence, and financial stability makes it a trusted partner for individuals and businesses alike. Its strategic focus on innovation, community engagement, and sustainable growth positions Stanbic Bank as a key player in Uganda's financial sector and a driver of economic progress.
Job Title
Manager – Personalisation Quant Analytics Job at Stanbic Bank
Stanbic Bank
Job Description
Position: Manager – Personalisation Quant Analytics
Company: Stanbic Bank (Standard Bank Group)
Location: UG, Central Region, Kampala, Hannington Road
Role Overview
As Manager – Personalisation Quant Analytics, you will lead advanced data analytics and modeling initiatives to deliver personalised, data-driven insights that support business growth and improved customer experience. You will apply machine learning, statistical analysis, and data mining techniques on large structured and unstructured datasets to uncover patterns, optimize decision-making, and build predictive models.
This role works cross-functionally with business, data, and technology teams to integrate insights into core business systems, enabling intelligent automation and strategic decision-making.
Duties, Roles and Responsibilities
Develop and implement machine learning models and statistical algorithms to address complex business challenges.
Apply data mining, data visualization, and predictive analytics to drive personalization and customer-centric strategies.
Process and analyze large volumes of structured and unstructured data (including text, images, and streaming data).
Program using tools such as Python, R, and optionally Java, Matlab, or similar.
Work with distributed data environments and platforms such as Hadoop, Spark, Kafka, and HDFS.
Collaborate with business stakeholders to define data requirements and transform analytical outputs into actionable insights.
Drive the integration of model outputs into production environments and operational systems.
Participate in the design and testing of data models, ensuring compliance with infrastructure, governance, and regulatory standards.
Conduct regression testing and manage User Acceptance Testing (UAT) processes.
Educate stakeholders on the role of data science in business problem-solving and promote a culture of data-informed decision-making.
Lead data preparation, including cleaning, transformation, normalization, and feature engineering.
Ensure ongoing knowledge of best practices, industry standards, and evolving technologies in data science and analytics.
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Qualifications, Education and Competencies
Education
Bachelor’s degree in Information Technology, Information Science, or a related field from a recognized institution.
A postgraduate qualification in the same field is highly desirable.
Technical Skills
Proficiency in programming languages such as Python, SQL, Java, C#, C++, and HTML.
Experience with data visualization tools such as QlikView, Tableau, SSIS, SSRS.
Familiarity with both structured and unstructured query languages and data formats including JSON.
Experience
1–2 years of software development and engineering experience.
3–5 years working with unstructured data and large datasets.
Experience in data modeling, ETL processes, data architecture, and infrastructure.
Strong understanding of financial services products, systems, and data flows.
Experience building models for use cases such as credit scoring, churn prediction, and propensity modeling.
Exposure to governance and regulatory frameworks related to data management.
Technical Competencies
Data Analysis & Interpretation
Data Quality & Integrity
Database Management
Data Modeling & Architecture
Research & Insight Generation
Knowledge Categorization & Classification
Behavioral Competencies
Clear and Effective Communication
People Leadership and Direction
Attention to Detail & Documentation
Agility and Change Readiness
Building Stakeholder Relationships
Strategic Decision Making
Prioritizing and Managing Tasks
How to Apply
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