Credit Risk Analyst – Account Management needed at Discovery Limited

Job Purpose

• To provide/facilitate data-driven and quantitative analysis that informs credit risk management strategies and processes across the credit life cycle (i.e. Origination, Account Management and Collections) and to work in collaboration with team members that engage in the above analysis. The focus of this role will be on Account Management.

Areas of responsibility may include but are not limited to

Collaborating on the following account management activities that directly impact the financials:

• Develop mathematical and statistical models for risk quantification in accordance with relevant modelling methodology and guidelines.
• Development and implementation of the high risk account management strategy, limit increase strategy and forced limit decrease strategy for risk management in accordance with the relevant guidelines.
• Monitor and run assurance on system functionality than enables the facility structure that is the core component of the credit product.
• Provide meaningful insights, trends and recommendations with the objective of informing credit policy and business strategy through analytical methods.
• Create business reporting that is of a consistently high quality and standard to inform and/or drive business processes.                                        
• Evaluate profitability of current policy / rule sets, generate and evaluate alternatives.
• Conduct detailed analytical work with a high level of accuracy in order to deliver high level results to senior management.
• Responsible for managing issues through to resolution.

Working with other team members within the Credit Team to ensure:

• Effective management of key stakeholder relationships. (i.e. Product, Credit Ops, EIS, System)
• Effective team collaboration to produce results in line with strategy.
• Improved processes and a collaborative working culture.

Personal Attributes and Skills

• Resourceful and tenacious
• Self-motivated
• Focused on driving results
• Detail-oriented
• Organised and process oriented; ability to multi-task and manage time effectively
• Ability to convey complex data in a concise understandable manner and distil the key messages
• Strong problem-solving skills
• Ability to work effectively across varying levels of Management and multi-disciplinary teams
• Good and clear written style.
• Strong verbal and written reporting skills.
• Quantitative/qualitative analytical skills

Education and Experience

• MSc/ BSc (Hons) in Statistics/ Actuarial Science/ Financial Maths/ Applied Maths
• At least 1-2 years of experience in relevant field (e.g. behavioural credit scoring, credit risk management processes across the credit life cycle)
• Programming capabilities in SAS / R / Python / VBA
• Retail banking experience
• Strong track record of professional performance
• Skilled in Microsoft products, particularly PowerPoint, Word, Excel and Access
• System knowledge, preferably system implementation experience