Description:
Exciting Career Opportunity Are you a quantitative expert with a passion for credit risk analysis? A leading data-driven financial services firm is looking for a talented Quantitative Credit Analyst to join their dynamic team. This is your chance to leverage your skills in data analysis and credit risk to make a significant impact in a fast-paced, innovative environment.Key Responsibilities:
- Analyze credit risk data and develop quantitative models to assess the creditworthiness of individuals, institutions, and portfolios.
- Design, test, and implement credit risk models that provide insights into default probabilities, loss given default, and other risk parameters.
- Use advanced statistical techniques and machine learning algorithms to improve the accuracy of credit risk assessments.
- Work closely with internal stakeholders to enhance credit risk strategies and optimize decision-making processes.
- Present findings and recommendations to senior management in a clear and actionable manner.
- Stay updated with the latest developments in credit risk, financial modeling, and industry trends.
- A degree in Mathematics, Statistics, Economics, or a related field; postgraduate qualifications are a plus.
- Strong experience in quantitative analysis, particularly in credit risk modeling.
- Proficiency in programming languages such as Python, R, or similar.
- Solid understanding of credit risk metrics, financial products, and regulatory requirements.
- Experience with machine learning or other advanced analytics techniques is highly desirable.
Apply now!
For more Actuarial and Analytics jobs, please visit www.networkrecruitment.co.za
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
For more information contact:
Adon Abrahams
Senior Specialist Consultant: Actuarial & Analytics
adabrahams@networkfinance.co.za
Requirements:
- Analyze credit risk data and develop quantitative models to assess the creditworthiness of individuals, institutions, and portfolios.
- Design, test, and implement credit risk models that provide insights into default probabilities, loss given default, and other risk parameters.
- Use advanced statistical techniques and machine learning algorithms to improve the accuracy of credit risk assessments.
- Work closely with internal stakeholders to enhance credit risk strategies and optimize decision-making processes.
- Present findings and recommendations to senior management in a clear and actionable manner.
- Stay updated with the latest developments in credit risk, financial modeling, and industry trends.
- A degree in Mathematics, Statistics, Economics, or a related field; postgraduate qualifications are a plus.
- Strong experience in quantitative analysis, particularly in credit risk modeling.
- Proficiency in programming languages such as Python, R, or similar.
- Solid understanding of credit risk metrics, financial products, and regulatory requirements.
- Experience with machine learning or other advanced analytics techniques is highly desirable.
02 Mar 2025;
from:
careers24.com