The role involves developing and maintaining advanced analytical models to address business opportunities and improve outcomes such as reduced risk, increased profitability, and optimized efficiency
Job Summary
The role involves developing and maintaining advanced analytical models to address business opportunities and improve outcomes such as reduced risk, increased profitability, and optimized efficiency.
The candidate will ensure compliance with relevant statutory, legislative, policy and governance requirements while innovating flexible and customised solutions for business problems.
Collaboration with multiple departments and mentoring junior analysts are key aspects to ensure proper use of data and delivery of operational results aligned with business strategy.
Matching Summary
The role involves developing and maintaining advanced analytical models to address business opportunities and improve outcomes such as reduced risk, increased profitability, and optimized efficiency.
Skills & Requirements
Must-have
quantitative analytical methodologies
advanced mathematical modeling
data analysis and statistical modelling
model validation and auditing
compliance with governance and privacy policies
collaboration across business departments
risk identification and escalation
Nice-to-have
innovative and customised analytical solutions
cross-functional relationship building
mentoring junior analysts
cost efficiency and resource prioritisation
business strategy alignment
commercialisation of data insights
effective communication with stakeholders
Key Requirements
Minimum Matric plus post-matric qualification
Bachelor of Science or Actuarial Science Degree preferred
3-5 years experience in Data Science role within regulatory credit risk team