Role purpose

• The purpose of this role is to support the development and expansion of Momentum Corporate’s advanced analytics function. The role focuses on driving and implementing a robust data analytics strategy that informs business decisions across Momentum Corporate, with particular emphasis on machine learning and low-code solution development.

Requirements

• Degree in Data Science, Actuarial Science, Mathematics, Economics, Computer Science, Information Management, or Statistics.
• 2–5 years’ relevant experience.
• Minimum of 2 years’ experience in a financial or business environment.
• Knowledge of financial products, insurance, and the retirement fund industry (advantageous).
• Strong programming skills: SQL, Oracle SQL, R or Python.
• Experience with Microsoft Power BI.
• Experience with Microsoft Power Platform (advantageous).
• Experience with ML Ops and tools such as AWS SageMaker, Azure ML or similar.

Duties and responsibilities

Internal process

• Participate in designing solutions to defined problem statements using advanced analytics.
• Assist and lead projects where required, including identifying processes that can be enhanced through analytics or improved data pipelines.
• Identify and understand data structures across business databases to support analytics and monitoring activities.
• Promote reusability, maintainability, reliability, and scalability in data solution development.
• Recommend software packages that support data engineering, advanced analytics, and process automation.
• Source data through integration with IT systems, business units or low-code tools.
• Perform ETL operations for reporting and modelling.
• Apply machine learning techniques to select features, create models, optimise algorithms, and preprocess structured and unstructured data.
• Analyse and interpret diverse datasets using statistical and machine learning techniques.
• Collaborate closely with IT to ensure optimal access and maintenance of analytics environments.
• Develop frameworks for scenario planning using analytics in collaboration with stakeholders.
• Conduct portfolio analysis and trend investigations to support strategic decisions.
• Apply strong statistical methods to derive insights, identify risks and highlight opportunities.
• Build and maintain relationships with cross-functional stakeholders to promote integrated, analytics-led solutions.
• Stay updated with advancements in analytics technologies, tools, and platforms.

Client

• Maintain strong client and stakeholder relationships to promote collaborative, cross-practice solutions.
• Benchmark externally and participate in relevant forums to sustain competitive advantage.
• Monitor turnaround times and quality and resolve issues promptly to maintain service excellence.
• Support a service-driven culture that strengthens relationships across Actuarial, IT and Business teams.
• Ensure advanced analytics activities align with the Group’s purpose and strategic objectives.

People

• Contribute to a positive work climate that energises employees and gives meaning to work.
• Promote best practices, continuous improvement and a cohesive team environment.
• Actively share insights, successes, issues and trends at both corporate and group-level forums.
• Participate in performance management processes in line with corporate guidelines.
• Encourage innovation, agility, and collaboration within the analytics team.

Finance

• Contribute to budget planning and motivate expenditure needs within the area.
• Identify opportunities to enhance cost-effectiveness and operational efficiency.
• Implement and manage financial risk methodologies and reporting mechanisms.
• Adhere to risk, governance and compliance frameworks to manage exposure and liability.

Competencies

• Business acumen
• Client / stakeholder commitment
• Drive for results
• Leads change and innovation
• Motivating and inspiring teams
• Strategic thinking
• Collaboration
• Impact and influence
• Self-awareness and insight
• Diversity and inclusiveness
• Growing talent and teamwork