Senior Quantitative Analyst

Placements24; Rustenburg; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Performance-based bonus

Health benefits

Retirement plan

Cutting-edge technology

Learning opportunities

Flexible remote work

Job summary

Placements24 in Rustenburg, North West, seeks a Senior Quantitative Analyst to lead the development and deployment of sophisticated quantitative strategies. The role involves designing, back-testing, and implementing algorithms for trading, risk management, and portfolio optimization.

The ideal candidate has a strong background in mathematical finance, statistics, and programming, with a track record of innovation in financial markets. Remote work is supported for this position.

Qualifications

• Advanced degree in a quantitative field (Master’s or PhD).
• Minimum 5 years of quantitative analysis, financial modeling, or algo trading experience.
• Strong programming skills in Python, C++, or R with data manipulation libraries.
• Deep understanding of stochastic calculus, time series analysis, statistics, and ML techniques.
• Experience with financial data sources/platforms such as Bloomberg or Refinitiv.
• Proven ability to translate complex financial problems into quantitative solutions.
• Excellent problem-solving, analytical, and communication skills.

Responsibilities

• Develop, implement, and validate quantitative models for pricing, risk, and algo trading.
• Design back-testing frameworks to assess performance and robustness.
• Collaborate with portfolio managers and traders to tailor quantitative solutions.
• Analyze large datasets to uncover patterns, insights, and alpha opportunities.
• Write clean, efficient, well-documented code in Python, C++, or R.
• Stay updated with academic research and industry best practices in quantitative finance.
• Contribute to development of the firm’s automation and tooling stack.
• Communicate complex results to both technical and non-technical stakeholders.

Skills

Python

C++

R

Time series analysis

Stochastic calculus

Statistical modeling

Machine learning

Bloomberg

Refinitiv

Education

Master's or PhD in quantitative field

Tools

Bloomberg

Refinitiv

Job description

About the Role

Our client, a cutting-edge financial services firm located in Rustenburg, North West , is seeking a brilliant Senior Quantitative Analyst to spearhead the development and implementation of sophisticated quantitative strategies. This role is critical for designing, back-testing, and deploying complex algorithms and models used in trading, risk management, and portfolio optimization. The ideal candidate will possess a profound understanding of mathematical finance, statistics, and programming, coupled with a passion for innovation in the financial markets. You will be part of a highly skilled team dedicated to leveraging data and advanced analytics to drive competitive advantage. This is an exceptional opportunity for a top-tier quantitative mind to contribute to a forward-thinking company in the North West province.

Key Responsibilities

• Develop, implement, and validate quantitative models for pricing, risk management, and algorithmic trading strategies.
• Design and execute back-testing frameworks to evaluate model performance and robustness.
• Collaborate with portfolio managers and traders to understand their needs and develop tailored quantitative solutions.
• Analyze large datasets to identify patterns, insights, and opportunities for alpha generation.
• Write clean, efficient, and well-documented code in languages such as Python, C++, or R.
• Stay at the forefront of academic research and industry best practices in quantitative finance.
• Contribute to the development and enhancement of the firm's quantitative infrastructure and tools.
• Communicate complex quantitative concepts and results to both technical and non-technical stakeholders.

Requirements

• Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related discipline.
• Minimum of 5 years of experience in quantitative analysis, financial modeling, or algorithmic trading within the financial services industry.
• Strong programming skills in Python, C++, R, or similar languages, with experience in data manipulation and scientific computing libraries.
• Deep understanding of stochastic calculus, time series analysis, statistical modeling, and machine learning techniques.
• Experience with financial data sources and platforms (e.g., Bloomberg, Refinitiv).
• Proven ability to translate complex financial problems into quantitative solutions.
• Excellent problem-solving, analytical, and critical thinking abilities.
• Strong written and verbal communication skills.

This position is fully remote, allowing flexibility for candidates anywhere.

Benefits

• Highly competitive salary and performance-based bonus structure.
• Comprehensive health and wellness benefits package.
• Generous retirement savings plan.
• Access to cutting-edge technology and research resources.
• Opportunities for continuous learning and professional growth in quantitative finance.
• Flexible remote work arrangement.
• Stimulating work environment with a focus on innovation and research.