Where

Manager/Assistant Manager – Credit Risk & Capital Management

Network Recruitment
Johannesburg Full-day Full-time

Description:

Manager/Assistant Manager – Credit Risk & Capital Management
    • Are you a
credit risk professional with a passion for risk modeling, financial analysis, and regulatory compliance ? Join our Financial Risk Management – Credit Risk & Capital Management team, where you'll work on complex statistical models, cutting-edge risk solutions, and industry-leading projects.

Role Overview

As a Manager/Assistant Manager , you will play a key role in developing and validating credit risk models (IFRS 9, scorecards, regulatory capital), supporting senior leadership in project planning and execution, and mentoring junior team members. This role offers exposure to top-tier financial institutions , access to the latest technologies (Python, R, SAS) , and a collaborative environment where your expertise will drive impactful risk solutions.

Key Responsibilities

  • Develop and review credit risk models for provisioning and regulatory capital requirements.
  • Lead and manage projects through planning, execution, and quality control phases.
  • Automate financial risk management models using Python, R, or SAS .
  • Ensure compliance with Basel regulations, IFRS 9, and other regulatory frameworks .
  • Collaborate with cross-functional teams to optimize credit risk strategies.
  • Coach and mentor junior staff in a high-performance environment .

What We’re Looking For

  • 5+ years experience in credit risk, financial modeling, or quantitative analysis.
  • Strong background in statistical techniques and credit risk modeling .
  • Proficiency in Python, R, or SAS for credit risk analysis.
  • Ability to manage projects, prioritize tasks, and work under tight deadlines.
  • Excellent communication skills to engage with technical and non-technical stakeholders.
  • A Hons or Master’s degree in Quantitative Finance, Mathematics, Statistics , or a related field (FRM certification is a plus).

ð© Interested? Apply Now!

How to Apply:
If you meet the above requirements, please send your resume DIRECTLY to: kmongalo@networkfinance.co.za
For more finance jobs, please visit our website: www.networkrecruitmentinternational.com
If there is no reply within two weeks, please assume that your application for the vacancy was unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
We also invite you to reach out to us to discuss your next finance career opportunity!

Requirements:

    • Are you a
credit risk professional with a passion for risk modeling, financial analysis, and regulatory compliance ? Join our Financial Risk Management – Credit Risk & Capital Management team, where you'll work on complex statistical models, cutting-edge risk solutions, and industry-leading projects.

Role Overview

As a Manager/Assistant Manager , you will play a key role in developing and validating credit risk models (IFRS 9, scorecards, regulatory capital), supporting senior leadership in project planning and execution, and mentoring junior team members. This role offers exposure to top-tier financial institutions , access to the latest technologies (Python, R, SAS) , and a collaborative environment where your expertise will drive impactful risk solutions.

Key Responsibilities

  • Develop and review credit risk models for provisioning and regulatory capital requirements.
  • Lead and manage projects through planning, execution, and quality control phases.
  • Automate financial risk management models using Python, R, or SAS .
  • Ensure compliance with Basel regulations, IFRS 9, and other regulatory frameworks .
  • Collaborate with cross-functional teams to optimize credit risk strategies.
  • Coach and mentor junior staff in a high-performance environment .

What We’re Looking For

  • 5+ years experience in credit risk, financial modeling, or quantitative analysis.
  • Strong background in statistical techniques and credit risk modeling .
  • Proficiency in Python, R, or SAS for credit risk analysis.
  • Ability to manage projects, prioritize tasks, and work under tight deadlines.
  • Excellent communication skills to engage with technical and non-technical stakeholders.
  • A Hons or Master’s degree in Quantitative Finance, Mathematics, Statistics , or a related field (FRM certification is a plus).

ð© Interested? Apply Now!

How to Apply:
If you meet the above requirements, please send your resume DIRECTLY to: kmongalo@networkfinance.co.za
For more finance jobs, please visit our website: www.networkrecruitmentinternational.com
If there is no reply within two weeks, please assume that your application for the vacancy was unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
We also invite you to reach out to us to discuss your next finance career opportunity!
  • Are you a
credit risk professional with a passion for risk modeling, financial analysis, and regulatory compliance ? Join our Financial Risk Management – Credit Risk & Capital Management team, where you'll work on complex statistical models, cutting-edge risk solutions, and industry-leading projects.

Role Overview

As a Manager/Assistant Manager , you will play a key role in developing and validating credit risk models (IFRS 9, scorecards, regulatory capital), supporting senior leadership in project planning and execution, and mentoring junior team members. This role offers exposure to top-tier financial institutions , access to the latest technologies (Python, R, SAS) , and a collaborative environment where your expertise will drive impactful risk solutions.

Key Responsibilities

  • Develop and review credit risk models for provisioning and regulatory capital requirements.
  • Lead and manage projects through planning, execution, and quality control phases.
  • Automate financial risk management models using Python, R, or SAS .
  • Ensure compliance with Basel regulations, IFRS 9, and other regulatory frameworks .
  • Collaborate with cross-functional teams to optimize credit risk strategies.
  • Coach and mentor junior staff in a high-performance environment .

What We’re Looking For

  • 5+ years experience in credit risk, financial modeling, or quantitative analysis.
  • Strong background in statistical techniques and credit risk modeling .
  • Proficiency in Python, R, or SAS for credit risk analysis.
  • Ability to manage projects, prioritize tasks, and work under tight deadlines.
  • Excellent communication skills to engage with technical and non-technical stakeholders.
  • A Hons or Master’s degree in Quantitative Finance, Mathematics, Statistics , or a related field (FRM certification is a plus).

ð© Interested? Apply Now!

How to Apply:
If you meet the above requirements, please send your resume DIRECTLY to: kmongalo@networkfinance.co.za
For more finance jobs, please visit our website: www.networkrecruitmentinternational.com
If there is no reply within two weeks, please assume that your application for the vacancy was unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
We also invite you to reach out to us to discuss your next finance career opportunity!
  • Develop and review credit risk models for provisioning and regulatory capital requirements.
  • Lead and manage projects through planning, execution, and quality control phases.
  • Automate financial risk management models using Python, R, or SAS .
  • Ensure compliance with Basel regulations, IFRS 9, and other regulatory frameworks .
  • Collaborate with cross-functional teams to optimize credit risk strategies.
  • Coach and mentor junior staff in a high-performance environment .
  • 5+ years experience in credit risk, financial modeling, or quantitative analysis.
  • Strong background in statistical techniques and credit risk modeling .
  • Proficiency in Python, R, or SAS for credit risk analysis.
  • Ability to manage projects, prioritize tasks, and work under tight deadlines.
  • Excellent communication skills to engage with technical and non-technical stakeholders.
  • A Hons or Master’s degree in Quantitative Finance, Mathematics, Statistics , or a related field (FRM certification is a plus).
19 Mar 2025;   from: careers24.com

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