Role Purpose
The primary purpose of this role is to develop advanced analytics solutions, machine learning models, and scalable data tools that support Guardrisk Life's strategic and client-facing analytics initiatives.
The role forms part of the Data Analytics Life team within the Guardrisk Life Structuring & Solutions division and focuses on unlocking business value through intelligent use of data. This includes building analytical frameworks, developing predictive models, and creating automated reporting and data solutions that enable better decision-making across the business.
The successful candidate will work closely with internal stakeholders and Guardrisk Life clients to identify analytics opportunities, solve complex business problems, and translate large datasets into clear, actionable insights.
The role requires strong technical capability in SQL, Python, and business intelligence tools such as Power BI, along with an analytical mindset and the ability to operate independently in a dynamic and evolving environment.
Requirements
Qualifications
Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related quantitative field
Postgraduate qualification in a relevant field advantageous.
Experience
3-6 years of experience in data science, data analytics, or data engineering within a commercial or financial services environment.
Working with large datasets in SQL and Python.
Business intelligence tools such as Power BI.
Delivering analytical insights to both technical and non-technical stakeholders.
Applying machine learning techniques advantageous.
Duties & Responsibilities
Advanced Analytics & Machine Learning
Develop predictive and statistical models to support business and client analytics use cases
Apply machine learning techniques to improve forecasting, segmentation, and risk analysis
Evaluate model performance and translate analytical outputs into practical business insights
Data Analytics & Insights
Analyse large datasets to identify trends, patterns, and opportunities within Guardrisk Life's portfolios and client businesses
Translate complex analytical findings into clear insights that support business decision-making
Collaborate with business stakeholders to identify new analytics opportunities
Client & Portfolio Analytics
Support analytics initiatives for Guardrisk Life clients by delivering insights on portfolio performance, trends, and opportunities
Develop analytical frameworks and benchmarking approaches to evaluate product and portfolio performance
Present analytical findings to both technical and non-technical stakeholders
Automation & Data Solutions
Design and build automated reporting and analytics solutions that improve operational efficiency
Identify opportunities to automate manual reporting or analytical processes across the business
Develop reusable analytics tools and data solutions that can scale across portfolios or clients
Data Engineering & Technical Development
Extract, transform, and analyse data from multiple systems using advanced SQL and Python
Work with modern data platforms such as Databricks, Synapse, or similar cloud analytics environments
Contribute to the development and improvement of internal analytics platforms and dashboards
Competencies
Advanced SQL proficiency (essential)
Strong Python capability for data analysis, automation, and machine learning
Experience with Power BI and DAX for dashboard development and reporting
Experience working with modern data platforms such as Databricks, Synapse, or similar cloud analytics environments advantageous
Familiarity with version control tools such as Git beneficial
Closing Date
2026/04/06