Quantitative Analyst: Credit Risk & Pricing Analytics

Omega Hr Solutions, Inc.; Johannesburg; Hybrid; ZAR 700,000 - 1,200,000; Full time

Job summary

Omega Hr Solutions, Inc. is seeking a Quantitative Analyst to turn data into decisions shaping the credit portfolio.

This permanent, hybrid role in Sandton offers exposure to pricing, risk management and portfolio strategy, with collaboration across stakeholders to embed analytics into risk appetite frameworks. The ideal candidate has 2+ years in credit risk analytics, hands-on SAS/Python/R/SQL and familiarity with IFRS 9 and Basel frameworks, coupled with strong communication and

Qualifications

• Degree in Mathematics, Statistics, Financial Engineering, Economics, Actuarial Science or related quantitative field.
• 2+ years’ experience in credit risk analytics, portfolio management or related field.
• Hands-on experience with SAS, Python, R and SQL.
• Familiarity with IFRS 9, Basel frameworks and advanced credit modeling techniques.
• Strong analytical and problem-solving skills; strong communication and stakeholder engagement.

Responsibilities

• Maintain advanced analytics frameworks for credit portfolio management.
• Enhance modelling approaches and apply machine learning to deliver predictive and prescriptive insights.
• Research and evaluate innovative analytical techniques to improve model development and efficiency.
• Contribute to origination modelling strategies aligned to portfolio objectives and risk appetite.
• Conduct deep dive analysis into credit portfolios to identify drivers and risks.
• Build interactive dashboards and visualisation tools for real-time portfolio monitoring.
• Run pricing analytics to assess risk-based pricing strategies and returns.
• Share knowledge and best practice within a high-performance team.

Skills

Analytical thinking

Communication skills

Stakeholder engagement

Problem-solving

Education

Maths/Stats/Financial Eng/Economics/Actuarial

Tools

SAS

Python

R

SQL

Job description

Our client, a leading financial services provider, is looking for a Quantitative Analyst to turn data into decisions that shape their credit portfolio.

If you’re a credit risk professional who loves modelling, machine learning and seeing your insights influence real pricing and strategy, this permanent, hybrid role in Sandton is worth a conversation.

The opportunity

You’ll use data science and machine learning to improve credit portfolio performance, pricing decisions and risk-adjusted returns. You’ll work closely with stakeholders to feed analytics into strategic planning and risk appetite frameworks, and contribute to model development across the credit lifecycle.

Key responsibilities

• Maintain advanced analytics frameworks for credit portfolio management
• Enhance traditional modelling approaches and apply machine learning to deliver predictive and prescriptive insights
• Research and evaluate innovative analytical techniques to improve model development, performance and efficiency
• Contribute to origination modelling strategies aligned to portfolio objectives and risk appetite
• Conduct deep dive analysis into credit portfolios to identify performance drivers, emerging risks and rebalancing opportunities
• Build interactive dashboards and visualisation tools for real-time portfolio monitoring
• Run pricing analytics to assess risk-based pricing strategies and risk-adjusted returns
• Compare model-predicted outcomes against actual portfolio performance and realised profitability
• Contribute to client-level pricing frameworks that balance customer value, risk and profitability
• Support cross-sell and customer behaviour analytics to identify growth opportunities
• Share knowledge and best practice within a collaborative, high-performance team

Minimum requirements

• Degree in Mathematics, Statistics, Financial Engineering, Economics, Actuarial Science or a related quantitative field
• 2+ years’ experience in credit risk analytics, portfolio management or a related field
• Proven hands‑on experience with SAS, Python, R and SQL
• Familiarity with IFRS 9, Basel frameworks and advanced credit modelling techniques
• Strong analytical and problem-solving skills
• Strong communication and stakeholder engagement skills, with the ability to influence decisions

Advantageous

• Postgraduate qualification or certification in Data Science or Machine Learning
• FRM or CFA

The person

Adaptable, results-driven and commercially minded, with a curious, continuous-learning mindset and a commitment to continuous improvement.

Why this role?

• High-impact work that drives real business outcomes
• Exposure to a digital transformation agenda
• A collaborative, high-performance team that invests in your growth
• Permanent position with hybrid flexibility in Sandton