Senior Credit Risk Modelling Business Analyst

The Focus Group; Sandton; On-site; ZAR 800,000 - 1,100,000; Full time

Job summary

The Focus Group is seeking a detail-oriented Senior Credit Risk Modelling Business Analyst in Sandton, South Africa. The ideal candidate will have over 10 years of experience in financial services, particularly in credit risk modelling and data analysis.

Responsibilities include data management, documentation, stakeholder collaboration, and team leadership. Candidates should possess strong analytical skills and proficiency in programming languages such as Python and R.

A Bachelor’s degree is required, with a Master’s preferred. Excellent communication and leadership skills are essential for this role.

Qualifications

• 10+ years of experience in analyzing complex business processes and delivering solutions.
• Strong analytical and leadership skills.
• Excellent written and verbal communication skills.

Responsibilities

• Identify, source, and analyze data for model deployment.
• Create documentation of current models and data flow.
• Collaborate with quantitative analysts and data scientists.
• Guide and mentor junior analysts.
• Plan project timelines and communicate updates.
• Review and unpack deployed credit risk models.
• Stay informed on credit risk regulations.

Skills

Credit risk modelling

Data analysis

Model unpacking

Python

R

SAS

SQL

Communication skills

Leadership

Education

Bachelor’s degree in Finance, Statistics, Mathematics, Economics or related field

Master’s degree preferred

Tools

Data analysis tools

Job description

Position Overview

Our client is looking for a detail-oriented Senior Credit Risk Modelling Business Analyst with a background in financial services and financial services products. This role requires a strategic thinker with 10+ years of experience in analyzing complex business processes, defining problem statements, and delivering practical solutions to meet business objectives. This role focuses on unpacking existing credit risk models and analyzing data sources to ensure effective model performance and compliance with regulatory standards. The ideal candidate will possess strong analytical and leadership skills, along with a solid understanding of credit risk frameworks as well as an end-to-end view of how models work within a deployed and managed farmwork. Excellent personal skills with exceptional written and verbal communication skill are required.

Key Responsibilities

• Data Management: Identify, source, and analyze relevant data required for model deployment. Ensure the integrity and accuracy of data utilized in credit risk assessments. Map the data flows from source to model and identify gaps and issues.
• Documentation: Create comprehensive documentation of current models and data flow, including methodologies, assumptions, and parameterizations. Ensure all documentation meets regulatory and internal requirements.
• Stakeholder Collaboration: Work closely with quantitative analysts and data scientists to enhance model functionality based on insights gathered from data analysis and feedback from stakeholders.
• Leadership & Team Development: Guide and mentor junior analysts in data analysis techniques and model unpacking methodologies. Foster a culture of continuous improvement and knowledge sharing within the team.
• Project Management: Plan and oversee project timelines and deliverables related to model unpacking and data analysis initiatives. Communicate project updates effectively to stakeholders.
• Model Deployment Analysis: Review and unpack existing, deployed credit risk models to assess their effectiveness of the deployment and identify areas for improvement
• Regulatory Awareness: Stay informed on relevant credit risk regulations and industry best practices, ensuring models are in compliance with evolving standards.

Qualifications

• Bachelor’s degree in Finance, Statistics, Mathematics, Economics, or a related field; Master’s degree preferred.

Skills

• 5+ years of experience in credit risk modelling, data analysis, or business analysis, with a focus on model unpacking and data sourcing.
• Strong understanding of credit risk models and frameworks (e.g., PD, LGD, EAD calculations) and experience with model deployment processes.
• Proficient in data analysis tools and programming languages (e.g., Python, R, SAS, SQL) with a strong aptitude for working with large datasets.
• Excellent communication skills with the ability to present complex information clearly to non-technical stakeholders.
• Proven leadership skills with experience in mentoring and guiding teams.