Hybrid Quantitative Analyst - Trading, ML & Risk (Durban)

Placements24; Durban; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Salary package with bonus potential

Healthcare benefits

Retirement savings plan

Access to advanced tools and research

Job summary

Placements24 in Durban is seeking a highly skilled Quantitative Analyst to join their trading desk. You will develop trading strategies, pricing and risk models, and analyze large market datasets.

The role requires a Master's or PhD in a quantitative field and 3–5 years in finance, with Python/C++/R/Java proficiency, strong stochastic calculus and machine learning knowledge. Hybrid work in Durban.

Qualifications

• Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• 3–5 years of experience as a Quantitative Analyst in a finance environment.
• Strong programming skills in Python, C++, R, or Java.
• Deep understanding of stochastic calculus, time series analysis, econometrics, and machine learning.

Responsibilities

• Design, develop, and implement quantitative trading strategies using statistical modeling and machine learning techniques.
• Build and maintain pricing and risk management models for derivatives.
• Analyze large market data sets to identify trading opportunities and patterns.
• Develop algorithms for trade execution and portfolio optimization.
• Collaborate with traders and quants to refine strategies and models.
• Conduct back-testing and performance attribution of trading strategies.

Skills

Python

C++

R

Java

Time series analysis

Econometrics

Machine learning

Education

Master's degree

PhD

Job description

Placements24 in Durban is seeking a highly skilled Quantitative Analyst to join their trading desk. You will develop trading strategies, pricing and risk models, and analyze large market datasets.

The role requires a Master's or PhD in a quantitative field and 3–5 years in finance, with Python/C++/R/Java proficiency, strong stochastic calculus and machine learning knowledge. Hybrid work in Durban.