Quantitative Analyst (Quant)

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

About the Role

Our client, a prominent financial services firm based in **Durban, KwaZulu-Natal**, is seeking a highly skilled Quantitative Analyst (Quant) to join their innovative trading desk. This role is ideal for a mathematically inclined professional with a passion for developing sophisticated trading strategies and risk management models. You will leverage advanced statistical and computational techniques to analyze market data, build predictive models, and optimize trading performance. The successful candidate will work in a collaborative environment, contributing directly to the firm's trading success in the **banking & finance** sector. This is a unique opportunity to apply cutting-edge quantitative methods in a fast-paced market setting in **Durban**.

Key Responsibilities

• Design, develop, and implement quantitative trading strategies using statistical modeling and machine learning techniques.
• Build and maintain sophisticated pricing and risk management models for complex financial derivatives.
• Analyze large datasets of market data to identify trading opportunities and patterns.
• Develop algorithms for trade execution and portfolio optimization.
• Collaborate with traders, portfolio managers, and other quants to refine strategies and models.
• Conduct back-testing and performance attribution of trading strategies.
• Stay current with academic research and industry advancements in quantitative finance.
• Communicate complex quantitative concepts and results to both technical and non-technical audiences.

Requirements

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 3-5 years of experience as a Quantitative Analyst in an investment bank, hedge fund, or proprietary trading firm.
• Strong programming skills in languages such as Python, C++, R, or Java.
• Deep understanding of stochastic calculus, time series analysis, econometrics, and machine learning.
• Experience with financial markets, derivatives pricing, and risk management is essential.
• Proven ability to work independently and as part of a team in a high-pressure environment.
• Excellent problem-solving skills and meticulous attention to detail.
• Based in or willing to relocate to **Durban, KwaZulu-Natal** with a hybrid working arrangement.

Benefits

• Attractive salary package with significant bonus potential.
• Comprehensive healthcare benefits including medical and dental coverage.
• Retirement savings plan.
• Access to advanced technology and research tools.
• Opportunities for intellectual stimulation and career advancement.
• Collaborative and intellectually challenging work environment.
• Hybrid work model offering flexibility.
• Prime office location in **Durban**.