Assistant Manager / Manager

KPMG-SouthAfrica; Johannesburg; On-site; ZAR 700,000 - 1,000,000; Full time

Job summary

KPMG-SouthAfrica is seeking a Manager / Assistant Manager in Financial Risk Management to join their Credit Risk & Capital Management team. The ideal candidate will have extensive experience in developing credit risk models and possess advanced skills in statistical techniques. This role offers exposure to diverse modeling techniques and the latest technologies in financial risk management.

Qualifications

• Minimum of five years experience in credit risk.
• Proficiency in statistical techniques and credit risk modelling.

Responsibilities

• Develop and review credit risk models for provisioning and regulatory capital.
• Support project management across all phases.
• Assist in coding and automating financial risk management models.

Skills

Quantitative credit risk experience

Statistical techniques

SAS proficiency

Python experience

R experience

Organizational skills

Presentation skills

Education

Honors or Master's degree in Quantitative Discipline

FRM Qualification (advantageous)

Job description

Description of the role and purpose of the job :

We have an exciting opportunity to join our Financial Risk Management business unit, as we are looking to fill a Manager / Assistant Manager position in our Credit Risk & Capital Management team. We are a specialist function within KPMG's Advisory Practice, primarily assisting clients with developing and reviewing complex statistical models used to quantify financial risks. The Credit Risk & Capital Management team comprises credit risk modellers and analysts from diverse backgrounds, including mathematics, statistics, engineering, and actuarial sciences.

As a Manager / Assistant Manager, you will play a key technical role in auditing and developing credit risk models (such as IFRS9, scorecards, etc.), and support the Senior Manager with project planning, organization, and quality control. The role offers exposure to various modelling techniques used by banks, ranging from local credit providers to globally systemic banks. It also provides access to the latest technologies, allowing you to enhance your coding skills in Python, R, and SAS.

Key responsibilities :

• Development and review of credit risk models for provisioning and regulatory capital purposes.
• Supporting project management across planning, budgeting, execution, and close-out phases.
• Assisting with coding and automation of financial risk management models.
• Contributing to building a coaching culture that encourages empowerment, open communication, and constructive challenge within the team.

Skills and attributes required for the role :

• Relevant experience in a quantitative credit risk role.
• Proficiency in contemporary statistical techniques and credit risk modelling practices.
• Ability to read, interpret, and develop software code, with experience in SAS, Python, or R.
• Strong organizational and time management skills.
• Proven experience in managing small workstreams and delivering results.
• Experience in managing, coaching, and mentoring junior staff.
• Ability to work effectively in a fast-paced environment with conflicting priorities.
• Excellent presentation and communication skills, capable of explaining quantitative concepts to technical and non-technical audiences.

Minimum requirements to apply for the role (including qualifications and experience) :

• A Hons or Masters degree in a quantitative discipline such as Quantitative Finance, Mathematics, Statistics, or equivalent; FRM qualification is advantageous.
• At least five years of experience in credit risk.