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Quantitative Risk Analyst

Quantitative Risk Analyst

Network Finance.WorkFromHome, Gauteng, South Africa
30+ days ago
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

    #J-18808-Ljbffr

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    Quantitative Analyst • WorkFromHome, Gauteng, South Africa

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