Credit Risk Senior Consultant

KPMG South Africa; Johannesburg; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

A leading financial services firm in Johannesburg is seeking a Senior Credit Risk Consultant to support the development and auditing of credit risk models. The ideal candidate will have a quantitative background, with a focus on credit risk modelling and a passion for coaching junior staff. This position provides exposure to various modelling techniques and cutting-edge technology, requiring strong programming skills in languages like Python, R, and SAS. This role calls for a proactive team player with excellent communication skills.

Qualifications

• Minimum 2 years of relevant experience in a quantitative credit risk role.
• Experience managing, coaching, or mentoring junior staff is a plus.
• Experience with SAS, Python or R is preferred.

Responsibilities

• Develop and review credit risk models for provisioning and regulatory purposes.
• Assist with coding and automation of financial risk management models.
• Participate in building a coaching culture within the team.

Skills

Understanding of contemporary statistical techniques

Proficiency in SAS, Python, or R

Strong organizational and time management skills

Self-driven and resilient

Team player

Good communication skills

Education

Hons or Masters degree in Quantitative Finance, Mathematics, Statistics

Tools

SAS

Python

R

Job description

Function And Business Unit

Financial Risk Management – Credit Risk and Capital Management

Description Of The Role And Purpose Of The Job

We have an exciting opportunity to join our Financial Risk Management business unit, since we are looking to fill four positions for Senior Consultants in our Credit Risk & Capital Management team. We are a specialist function within KPMG’s Advisory Practice which has as its main purpose to assist clients with the development and review of often complex statistical models used to quantify financial risks. The Credit Risk & Capital management team is made up of credit risk modellers and analysts from a broad and diverse range of quantitative backgrounds, including mathematics, statistics, engineering and actuarial.

As a Senior Credit Risk Consultant, you will not only have a technical specialist role in the development and in the auditing of credit risk models (IFRS9, scorecards, etc.), but also be involved in the coaching and training of junior team members. The role offers exposure to a wide range of modelling techniques used by banks ranging from smaller local credit providers to globally systemically important banks. It also provides access to the latest technologies and developments, and you will be able to hone your coding skills in packages like Python, R and SAS.

Job Title

Senior Credit Risk Consultant

Number Of Positions

1

Key Responsibilities

• Development and review of credit risk model both for provisioning and regulatory capital requirement purposes
• Assisting with the coding and automation of financial risk management modelsSupport with the training of junior team members
• Participate in building a coaching culture aimed at getting the best out of others in an environment where everyone in the team feels empowered to speak up or challenge where appropriate

Skills And Attributes Required For The Role

• Understanding of contemporary statistical techniques and practices in credit risk modelling
• Able to read, interpret and create software code, and ideally some experience with modern computing languages related to credit risk modelling (e.g. SAS, Python, or R)
• Strong organisational and time management skills; able to work effectively in a fast-paced environment with conflicting priorities and deadlines
• Self-driven and resilient
• Team player
• Good presentation and communication skills with ability to articulate quantitative concepts to both technical and non-technical individuals

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.
• Minimum 2 years of relevant experience within a quantitative credit risk-based role
• Some experience of managing, coaching or mentoring junior staff would be an asset