Quantitative Analyst

Network Finance.; Randburg; Sur place; ZAR 720 000 - 1 000 000; Plein temps

Résumé du poste

Network Finance invites a Quantitative Analyst to join our risk analytics team in Randburg. You will analyze credit risk data, build and validate models, and translate results into actionable insights for clients. The ideal candidate holds a quantitative degree and at least 3 years in credit risk, with proficiency in R, Python, SAS, and SQL.

Strong communication and teamwork are essential. This role offers opportunities to drive innovative risk solutions in a dynamic, professional services

Qualifications

• Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field.
• Master's degree or PhD preferred.
• Minimum of 3 years of experience in credit risk analysis or quantitative modeling.
• Proficiency in statistical software (R, Python, SAS) and SQL.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Responsabilités

• Analyze credit risk data, develop models, and provide insights to help clients make informed decisions.

Connaissances

Analytical skills

Communication

Teamwork

Problem solving

Formation

Bachelor's degree in quantitative field

Master's degree or PhD preferred

Outils

R

Python

SAS

SQL

Description du poste

An exciting opportunity for a Quantitative Analyst!

Reference: NFP013947-SHb-1

Duties & Responsibilities

Are you passionate about data analysis and risk management? Do you thrive in a dynamic environment where your analytical skills can make a real impact? Join a leading professional services firm and be part of a team dedicated to driving innovation and excellence in risk management.

We are currently seeking a talented Quantitative Analyst to join our team. In this role, you will play a key role in analyzing credit risk data, developing models, and providing insights to help our clients make informed decisions.

Requirements:

1. Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field.
2. Master's degree or PhD preferred.
3. Minimum of 3 years of experience in credit risk analysis or quantitative modeling.
4. Proficiency in statistical software (e.g., R, Python, SAS) and database querying languages (e.g., SQL).
5. Strong analytical and problem-solving skills.
6. Excellent communication and teamwork abilities.

Apply now!

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:
Shaunaline Baatjies
Specialist Consultant: Actuarial & Analytics
[e-mail]