Advanced Analytics Solution Specialist

Introduction

Through our client-facing brands Metropolitan and Momentum, with Multiply (wellness andrewards programme), and our other specialist brands, including Guardrisk, the group enables business and people from all walks of life to achieve their financialgoals and life aspirations. We help people grow their savings, protect what matters to themand invest for thefuture. We help companies and organisations care for and reward theiremployees and members.Through our own network of advisers or via independent brokersand utilising new platforms Momentum Group provides practical financial solutions forpeople, communities and businesses. Visit us at

Disclaimer

As an applicant, please verify the legitimacy of this job advert on our company career page.

Role Purpose

To play a role in developing and expanding Momentum Corporate's advanced analytics function. The purpose of the role is to drive and implement over time a robust data analytics strategy to inform business decisions for the whole of Momentum Corporate. With a particular focus on the application of machine learning and/or low code solutions development.

Requirements

• Degree in Data Science, Actuarial Science, Mathematics, Economics, Computer Science, Information Management or Statistics.
• 2 - 5 Years' relevant experience.
• At least 2 years' experience in a financial or business environment.
• Knowledge of the financial products applicable, as well as the insurance and retirement fund industry would be advantageous.
• Strong programming skills (SQL; Oracle SQL; R or Python).
• Experience with Microsoft PowerBI.
• Experience with Microsoft Power Platform would be advantageous.
• Experience with ML Ops and tools such as AWS Sagemaker or Azure ML and alike.

Duties & Responsibilities

INTERNAL PROCESS

• Actively participates in the design of the solution to a set problem statement by applying advanced analytics.
• Assist and drive projects where necessary; including identifying areas or processes that can be enhanced, either readily through analytics, or initiating data pipelines to enable, further analysis and insights.
• Identify and understand data structures across various databases within the business to facilitate data analytics and continuous monitoring activities.
• Promote reusability, maintainability, reliability, and scalability in design and development of data solutions.
• Propose software packages that can be used to effectively perform data engineering, advanced analytics or process automation functions (expand, beyond analytics).
• Data sourcing: through integration with IT systems and across business units; and/or utilising low code solutions to facilitate data sourcing.
• Perform extract, transform, load operations from data sources for reporting and modeling purposes.
• Use of machine learning techniques or tools to select features, create and optimise models. Where relevant, aid in the preprocessing of structured and unstructured data.
• Analysing and interpreting diverse data types using statistical and machine learning techniques.
• Efficient and effective teamwork with the IT team to implement optimal access and maintenance of analytics environments.
• Deliver frameworks for scenario planning using analytics in collaboration with various stakeholders.
• Portfolio analyses and trend investigations to support strategic objectives.
• Be able to apply strong statistical methods and approaches to derive insights and identify risks and opportunities within the business.
• Collaborating with cross functional teams: build and maintain relationships with clients and stakeholders that promote cross delivery practice solutions.
• Responsibility to keep up to date with the latest developments in Analytics (technology, platforms etc)

CLIENT

• Maintain relationships with clients and stakeholders that promote cross delivery practice solutions.
• Contribute to sustaining a competitive edge through external networking and benchmarking and representation on related forums.
• Continuously monitor turnaround times and quality standards and resolve issues speedily to enhance service delivery.
• Participate in a service excellence culture which builds enduring relationships (between Actuarial, IT and Business) and allows team to provide exceptional service.
• Ensure that Advanced Analytics support and contribute toward realising our Group's stated purpose.

PEOPLE

• Participate in a positive work climate and culture to energise employees and give meaning to work.
• Promote a culture that guides and directs best practice, fostering an environment of continuous learning, improvement and cohesiveness.
• Participate in a learning and growth culture whereby information regarding successes, issues, trends and ideas are actively shared within Momentum Corporate but also at Group level, through participation in Group-wide Forums
• Participate in performance management frameworks in line with Momentum Corporate's guidelines.
• Encourage innovation, change agility and collaboration within the team.

FINANCE

• Optimally contribute to the budget design for area, including the motivation for expenditures and implementation of financial regulations.
• Identify solutions to enhance cost effectiveness and increase operational efficiency.
• Implement and manage financial risk methodologies, techniques and systems and use to monitor and report on financial activities.
• Follow risk management, governance and compliance policies in own practice area, to identify and manage risk exposure liability.

Competencies

• Business Acumen
• Client/ Stakeholder Commitment
• Drive for results
• Leads Change and Innovation
• Motivating and Inspiring Team
• Strategic Thinking
• Collaboration
• Impact and Influence
• Self-Awareness and Insight
• Diversity and Inclusiveness
• Growing Talent and Teamwork