To apply analytical, statistical and mathematical skills to analyse data in order to assist with solving of business and financial problems (particularly those involving risk). This entails calculating the probability of and costs associated with certain events, such as product failure, accidents, property damage, injury, and death. The results are used to design and price insurance policies, investment plans, pension plans and other financial instruments.
Type of Qualification: First Degree
Field of Study: Mathematical Sciences
Experience Required
Data Monetisation
Data & Analytics
3-4 years
Experience with and understanding of risk management and terminology within related area of financial services, such as banking, investment asset management or insurance. Understanding of related products and services, and basic business processes
3-4 years
Familiarity with spreadsheets, databases, statistical analysis programs and programming languages. Understanding of business trends and the technology that enables the business.
3-4 years
The role requires a background in mathematics and statistics with sound business and financial understanding to work towards solving highly complex financial and risk management problems.
Behavioural Competencies:
• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information
• Exploring Possibilities
• Interacting with People
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working
Technical Competencies:
• Business Acumen (Audit)
• Data Analysis
• Data Integrity
• Quantitative Analysis
• Statistical & Mathematical Analysis
• Write Code