Quantitative Risk Analyst

Network Finance.; City of Johannesburg Metropolitan Municipality; Hybrid; ZAR 50,000 - 80,000; Full time

Job summary

A leading consulting firm is seeking a Credit Quantitative Consultant to enhance its analytics team. The role involves credit risk model development, regulatory compliance, and client engagement. Ideal candidates will have relevant degrees and experience in credit risk modelling and data analysis, with proficiency in SAS and SQL. Join a dynamic environment that values innovation and provides hybrid work options.

Benefits

Hybrid flexibility

Career growth opportunities

Involvement in AI and machine learning projects

Qualifications

• Honours degree (or higher) in a quantitative discipline such as Mathematics, Statistics, or Actuarial Science.
• 1-3 years of professional experience including at least 3 years in credit risk modelling.
• Strong working knowledge of IFRS 9 and/or Basel regulations.
• Hands-on experience coding in SAS and/or SQL.
• Experience working in Excel, PowerPoint and Word.

Responsibilities

• Build, refine and validate credit risk models across the credit lifecycle.
• Work directly with client teams during engagements.
• Contribute to development of marketing and proposal material.

Skills

Credit risk modelling

Data analysis

SAS

SQL

Python

IFRS 9 knowledge

Basel regulations knowledge

Excel

PowerPoint

Word

Education

Honours degree in a quantitative discipline

Tools

Cloud computing

ISO 27001

Microsoft Access

Job description

Overview

Credit Quantitative Consultant

Are you passionate about credit risk modelling and data-driven decision-making? Do you thrive in fast-paced environments where your analytical skills can make a real impact? This is your opportunity to join a dynamic and growing consulting firm that partners with leading financial institutions to solve complex credit risk challenges.

My client is looking for a Credit Quantitative Consultant to join a high-performing analytics team working on cutting-edge projects across retail and wholesale portfolios. If you’re ready to stretch your modelling, coding, and client delivery skills in a startup-style consulting environment, we want to hear from you.

Responsibilities

• Model Development & Validation
  • Build, refine and validate credit risk models across the credit lifecycle (PD, EAD, LGD, SICR, ECL)
  • Work with both retail and wholesale portfolios across product types (e.g. amortising loans, revolving credit)
  • Ensure models meet IFRS 9 and Basel regulatory standards
  • Develop data cleaning, diagnostics, transformation and back-testing tools
  • Code all modelling and data processes in SAS, SQL or Python
  • Research and apply advanced techniques including machine learning where applicable
• Consulting Delivery
  • Work directly with client teams, management and auditors during engagements
  • Prepare clear high-quality documentation and present insights to stakeholders
  • Ensure accurate, timely delivery of model outputs and results
• Sales & Marketing Support
  • Contribute to the development of marketing and proposal material
  • Assist in client presentations and proposal pitches
• What You’ll Bring : Education

What You’ll Bring

• Education
  • Honours degree (or higher) in a quantitative discipline such as Mathematics, Statistics, Actuarial Science, Applied Mathematics, Engineering or related field
• Experience
  • 1-3 years of professional experience including at least 3 years in credit risk modelling
  • Strong working knowledge of IFRS 9 and / or Basel regulations
  • Hands-on experience coding in SAS and / or SQL (Python is an advantage)
  • Experience working in Excel, PowerPoint and Word
  • Cloud computing exposure is a plus
• Soft Skills
  • Proactive self-starter with a problem-solving mindset
  • Strong communicator with the ability to simplify complex technical topics
  • Collaborative team player with a solid work ethic
  • Ability to work under pressure and manage deadlines

Why Join

• Work on high-impact credit risk projects across leading banks and lenders
• Be part of a growing, agile and expert team that values innovation
• Enjoy hybrid flexibility and a startup-style environment with real career growth
• Get involved in cutting-edge modelling techniques including AI and machine learning

Next Steps

Please send your CV to. Should you not hear from us within two weeks please consider your application unsuccessful.

Package & Remuneration

Market related

Required Experience

IC

Key Skills

ISO 27001,Microsoft Access,Risk Management,Financial Services,PCI,Risk Analysis,Analysis Skills,COBIT,NIST Standards,SOX,Information Security,Data Analysis Skills

Employment Type

Full-Time

Experience

years

Vacancy

1