Senior Quantitative Analyst

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Performance-based bonus

Health benefits

Fully remote with global collaboration

Job summary

Placements24 is recruiting a Senior Quantitative Analyst to join a fully remote team with an operational base near Nelspruit. You will design and implement advanced models for trading, risk management and portfolio optimization, work with large datasets, and apply machine learning and statistical techniques to deliver actionable insights.

The role requires a Master’s/PhD in a quantitative field, 5+ years in quantitative analysis, and proficiency in Python, C++, Java, and SQL, with a

Qualifications

• Advanced degree in a quantitative discipline (Master's or Ph.D.).
• 5+ years of experience in quantitative analysis, modeling, or trading strategy development.
• Proficiency in Python, C++, Java, and SQL; strong knowledge of financial markets.

Responsibilities

• Design, develop, test, and implement quantitative models for financial markets.
• Analyze large datasets to identify patterns, opportunities, and risks.
• Develop trading algorithms and strategies based on rigorous quantitative research.
• Collaborate with portfolio managers and traders to integrate quantitative insights.
• Ensure robustness, scalability, and accuracy of deployed models.
• Stay updated with advancements in quantitative finance, ML, and data science.

Skills

Quantitative analysis

Machine learning

Statistical modeling

Education

Master's or Ph.D. in Financial Engineering/Statistics/Mathematics/Physics/Computer Science

Tools

Python

C++

Java

SQL

Job description

About the Role

Our client is seeking a highly skilled Senior Quantitative Analyst to join their fully remote team, with an operational base near Nelspruit . This role is critical for developing and implementing complex mathematical models and algorithms used for trading strategies, risk management, and portfolio optimization. You will work with large datasets, advanced statistical techniques, and cutting-edge technologies to drive innovation and provide a competitive edge. The ideal candidate is a strong programmer with a deep understanding of financial markets and a proven ability to deliver impactful quantitative solutions in a remote setting.

Key Responsibilities

• Design, develop, test, and implement sophisticated quantitative models for financial markets.
• Analyze large datasets to identify patterns, opportunities, and risks.
• Develop trading algorithms and strategies based on rigorous quantitative research.
• Collaborate with portfolio managers and traders to integrate quantitative insights into investment decisions.
• Ensure the robustness, scalability, and accuracy of deployed models.
• Stay current with the latest advancements in quantitative finance, machine learning, and data science.

Requirements

• Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Financial Engineering, Statistics, Mathematics, Physics, or Computer Science.
• 5+ years of experience in quantitative analysis, modeling, or trading strategy development.
• Expert proficiency in programming languages like Python, C++, or Java, and SQL.
• Strong understanding of financial markets, derivatives, and portfolio theory.
• Experience with machine learning techniques and statistical modeling is essential.
• Excellent problem-solving skills and the ability to work independently in a remote environment.

Benefits

• Exceptional salary and performance-based bonus compensation.
• Comprehensive health and wellness benefits.
• Fully remote work arrangement with opportunities for global collaboration.
• Access to advanced computing resources and data infrastructure.
• Stimulating work environment focused on intellectual challenge and innovation.