Quantitative Risk Management Professional
1 month ago
Overview
">We are seeking a highly skilled Quantitative Risk Management Professional to join our Financial Risk Management business unit. This is an exciting opportunity for someone who wants to work with complex statistical models used to quantify financial risks.
">Salary
">The estimated salary for this position is R1,200,000 per annum, depending on experience and qualifications.
">Job Description
">In this role, you will have a technical specialist role in the auditing and development of credit risk models (IFRS9, scorecards, etc.). You will also assist the Senior Manager with responsibilities regarding the planning, organization, and quality control of projects. This role offers exposure to a wide range of modelling techniques used by banks, from smaller local credit providers to globally systemically important banks.
">You will be able to hone your coding skills in packages like Python, R, and SAS, and 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.
">Key Responsibilities:
">- ">
- Development and review of credit risk models both for provisioning and regulatory capital requirement purposes.">
- Support with managing projects in the planning/budgeting, execution, and close-out phases.">
- Assisting with the coding and automation of financial risk management models.">
- Participating 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.">
Required Skills and Qualifications:
">To succeed in this role, you will need:
">- ">
- A Hons or Masters degree in a quantitative discipline such as Quantitative Finance, Mathematics, Statistics, or equivalent.">
- At least five years of experience in credit risk.">
- Relevant experience within a quantitative credit risk-based role.">
- Well-versed in contemporary statistical techniques and practices in credit risk modelling.">
- Able to read, interpret, and create software code, and relevant experience with modern computing languages related to credit risk modelling (SAS, Python, or R).">
- Strong organisational and time management skills.">
- Proven track record of managing and delivering small workstreams.">
- Experience of managing teams, coaching, and mentoring junior staff.">
- Able to work effectively in a fast-paced environment with conflicting priorities and deadlines.">
- Good presentation and communication skills with ability to articulate quantitative concepts to both technical and non-technical individuals.">
Benefits:
">This role offers access to the latest technologies and developments, and you will be able to hone your coding skills in packages like Python, R, and SAS.
">Location
">KPMG-SouthAfrica
">Original Language Code: en
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