Quantitative Analyst (Quant)

Placements24; Rustenburg; On-site; ZAR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Health insurance

Disability insurance

Retirement savings plan

Annual leave

Job summary

Placements24 in Rustenburg is seeking a Quantitative Analyst to join a leading financial institution's trading and risk division. The role focuses on advanced mathematical finance, modeling, and algorithmic implementation.

You will work with portfolio managers and traders to develop models, back-test strategies, and manage risk. A strong academic background and programming expertise are essential for success in this high-stakes environment.

Qualifications

• Master's or PhD in quantitative field (Math, Physics, Statistics, CS, or Financial Engineering).
• 3+ years of experience as a Quantitative Analyst in finance.
• Proficiency in Python, C++, R, or Java.
• Strong knowledge of stochastic calculus, probability theory, statistics, and ML.

Responsibilities

• Design and implement quantitative models for pricing derivatives and risk management.
• Conduct statistical analysis of market data to identify patterns and signals.
• Build and maintain high-performance trading systems and tools.
• Collaborate with traders to refine strategies and optimize execution.
• Perform back-testing and performance attribution of trading strategies.
• Assess market, credit, and operational risk in trading activities.

Skills

Statistical modeling

Risk management

Portfolio analysis

Team collaboration

Education

Master's or PhD in a quantitative field

Tools

Python

C++

R

Java

Job description

About the Role Our client, a leading financial institution in Rustenburg, is seeking a highly skilled Quantitative Analyst (Quant) to join their sophisticated trading and risk management division. This role requires a deep understanding of mathematical finance, statistical modeling, and programming to develop and implement complex algorithms and trading strategies. You will work closely with portfolio managers, traders, and risk officers to identify market opportunities, manage risk exposure, and optimize trading performance. The ideal candidate possesses a strong academic background, exceptional analytical capabilities, and proficiency in programming languages commonly used in quantitative finance. This is a critical role that demands precision, innovation, and a commitment to excellence in a high-stakes environment. You will be at the forefront of developing cutting-edge financial instruments and risk mitigation techniques for the firm. The position is office-based, fostering close collaboration and immediate feedback within the team.

Key Responsibilities

• Design, develop, and implement quantitative models for pricing financial derivatives, risk management, and algorithmic trading.
• Conduct statistical analysis of market data to identify patterns, correlations, and trading signals.
• Build and maintain high-performance trading systems and analytical tools.
• Collaborate with traders and portfolio managers to refine trading strategies and optimize execution.
• Perform back-testing and performance attribution of trading strategies.
• Assess and manage market risk, credit risk, and operational risk associated with trading activities.
• Develop methodologies for stress testing and scenario analysis.
• Research and evaluate new quantitative techniques and technologies.
• Work with IT teams to ensure the robustness and scalability of trading infrastructure.
• Document methodologies, models, and trading strategies clearly and comprehensively.

Requirements

• Master's or PhD in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Proven experience (3+ years) as a Quantitative Analyst or in a similar quantitative role within the financial services industry.
• Expertise in programming languages like Python, C++, R, or Java.
• Strong knowledge of stochastic calculus, probability theory, statistical modeling, and machine learning.
• Experience with financial markets, derivatives pricing, and risk management frameworks.
• Familiarity with high-frequency trading (HFT) concepts is a plus.
• Excellent problem-solving skills and attention to detail.
• Ability to work effectively in a collaborative, fast-paced team environment.
• Strong communication skills to explain complex technical concepts to non-technical stakeholders.
• Reside in or be willing to relocate to the North West province.

Benefits

• Highly attractive salary and bonus structure.
• Comprehensive benefits package including health, life, and disability insurance.
• Opportunities for advanced training and professional certifications.
• Access to state-of-the-art technology and research resources.
• Stimulating work environment with exposure to complex financial challenges.
• Generous annual leave entitlement.
• Retirement savings plan.
• Potential for significant career growth within the firm.