Credit Risk Analyst - Account Management
Sandton - 1 Discovery Place, Gauteng, ZA
Discovery
Discovery offers award-winning products - Medical Aid Administration, Car and Life Insurance, Bank Accounts and Investments, all with Vitality rewards.About Discovery
Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.
About Discovery Bank
Discovery Bank is a bank like no other – a shared-value bank, designed with our clients in mind. We’re all about sharing the value that clients create when they manage their money well, back with them through exceptional interest rates and rewards. Our Vitality Money programme measures how well clients manage their finances, informs them of what it means to be financially healthy, and empowers them with the knowledge to get enhanced rewards for managing their money well. If you’re adaptable, a problem-solver, always questioning the way things are done, passionate about doing what is right, and obsessed with providing a quality service experience, we have a job for you where you can be your best in an environment that’s safe and nurturing.
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
EMPLOYMENT EQUITY
The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Credit risk Excel Python R SAS Statistics
Perks/benefits: Career development Equity / stock options
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