Quantitative Analyst Johannesburg North

Network Finance.; Randburg; Vor Ort; ZAR 550.000 - 900.000; Vollzeit

Zusammenfassung

Network Finance seeks a Quantitative Analyst to join our team in Randburg. You will analyze credit risk data, develop models and provide actionable insights to help clients make inform ed decisions in a dynamic professional services environment.

The role requires a strong background in mathematics or statistics, 3+ years in credit risk or quantitative modeling, and proficiency with R, Python, SAS and SQL. Excellent communication and teamwork are essential.

Qualifikationen

• 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 (e.g., R, Python, SAS) and database querying languages (e.g., SQL).
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Kenntnisse

Strong analytical and problem-solving

Excellent communication

Teamwork abilities

Ausbildung

Bachelor's degree in Mathematics, Statistics, Finance, Economics, or related field

Master's degree or PhD preferred

Tools

R

Python

SAS

SQL

Jobbeschreibung

An exciting opportunity for a Quantitative Analyst!

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.

Duties & Responsibilities

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!