Permanent Senior Manager: Credit Risk and Analytics – Truworths Careers
Job Description
Get daily job updates directly on WhatsApp
Truworths Careers – Senior Manager: Credit Risk and Analytics
Senior Manager: Credit Risk and Analytics – Truworths Careers
About the Program
Truworths Careers is seeking a strategic, data-driven leader to drive customer and credit strategies that grow profit within defined risk constraints. This role sits within the Risk and Analytics function and plays a critical part in strengthening business performance through advanced analytics, insights, and innovative solutions.
Job Description
The Senior Manager: Credit Risk and Analytics will leverage large, complex datasets to design and implement customer, credit, and loyalty strategies that improve portfolio performance. You will lead high-performing analytics teams, partner with senior stakeholders, and translate insights into measurable commercial impact across the business.
Key Responsibilities
- Lead and develop a team of analysts to design, build, and track credit and loyalty optimisation strategies that drive profitable growth within board-approved constraints
- Collaborate with cross-functional stakeholders to identify opportunities, assess value, design test-and-learn frameworks, and scale successful initiatives
- Present proposed strategies, expected outcomes, and testing approaches to the board and senior executive management
- Oversee the use of predictive models within decision frameworks to balance risk, cost, and revenue
- Project manage the implementation of strategy changes into live business systems
- Drive continuous improvement in analytics capability, governance, and performance measurement
Qualifications and Experience
- Bachelor of Business Science or Commerce degree preferred
- At least 8 years’ experience in retail credit, ideally within store card portfolios
- Proven, hands-on experience building predictive models such as credit scorecards, marketing response models, propensity models, or machine learning models
- Strong experience using analytics programming languages such as SAS, Python, or R
- Demonstrated experience applying predictive models to optimise profit by balancing cost and revenue
- Experience coding within a retail environment
- Mathematical optimisation experience is highly advantageous
Competencies
- Results-driven with the ability to perform under pressure
- Strong planning, prioritisation, and time management skills
- Creative, proactive problem-solver with a commercial mindset
- Proven people leader who develops talent through coaching, mentoring, and structured training
- Confident communicator with the ability to influence senior stakeholders
APPLY NOW
17 total views, 1 today
and then