Remote Senior Quantitative Analyst - Algorithmic Trading

Placements24; Rustenburg; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Remote work flexibility

Competitive compensation package

Health benefits

Professional growth opportunities

Job summary

Placements24 is seeking a Senior Quantitative Analyst to join a remote-first trading strategy team. Based out of Rustenburg with full remote flexibility, you will design and implement advanced quantitative trading algorithms across asset classes, leveraging statistical modeling, ML, and strong programming skills.

You will collaborate with traders, developers, and quants, conduct rigorous analyses, and stay abreast of research trends to continually enhance trading infrastructure and performance

Qualifications

• Master's or PhD in Mathematics, Statistics, CS, Physics, or Financial Engineering.
• Minimum 5 years in quantitative research or algo trading strategy development.
• Strong programming skills in Python, C++, or Java with numerical libraries.
• Proficiency in statistical modeling and time series analysis.
• Solid understanding of financial markets, derivatives, and trading mechanisms.

Responsibilities

• Research, design, and implement quantitative trading strategies and algorithms.
• Develop and maintain high-performance trading systems and backtesting frameworks.
• Analyze large datasets to identify patterns and alpha opportunities.
• Collaborate with traders, developers, and quants to deploy strategies in live trading.
• Conduct rigorous statistical analysis and performance attribution.
• Stay updated on academic research and industry trends in quantitative finance and ML.
• Contribute to remote trading infrastructure and methodologies.
• Document and present research findings and strategy logic to stakeholders.

Skills

Python

C++

Java

Statistical modeling

Time series analysis

Machine learning

Education

Master's/PhD in quantitative field

Tools

NumPy/SciPy

Pandas

Backtesting

Job description

About the Role

Our client, a leading global quantitative trading firm, is seeking an exceptional Senior Quantitative Analyst to join their fully remote trading strategy team. This role is based in Rustenburg, North West, but offers complete remote flexibility, allowing talented individuals to contribute from anywhere. You will be instrumental in designing, developing, and implementing sophisticated quantitative trading algorithms and strategies across various asset classes. This position demands a deep understanding of statistical modeling, machine learning, and financial markets, combined with strong programming skills. As a remote-first organization, our client provides a robust virtual infrastructure and collaborative tools to ensure seamless teamwork and productivity. This is a unique opportunity to shape the future of high-frequency trading with a forward-thinking firm.

Key Responsibilities

• Research, design, and implement cutting-edge quantitative trading strategies and algorithms.
• Develop and maintain high-performance trading systems and backtesting frameworks.
• Analyze large datasets to identify trading patterns, market inefficiencies, and alpha-generating opportunities.
• Collaborate with traders, developers, and other quants to refine and deploy strategies in live trading environments.
• Conduct rigorous statistical analysis and performance attribution of trading strategies.
• Stay abreast of the latest academic research and industry trends in quantitative finance and machine learning.
• Contribute to the continuous improvement of the firm's trading infrastructure and methodologies, working effectively in a remote setup.
• Document and present research findings, strategy logic, and performance results to stakeholders.

Requirements

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Financial Engineering.
• Minimum of 5 years of experience in quantitative research or algorithmic trading strategy development.
• Strong programming skills in languages like Python, C++, or Java, with experience in numerical libraries.
• Proficiency in statistical modeling, time series analysis, and machine learning techniques.
• Solid understanding of financial markets, derivatives, and trading mechanisms.
• Proven ability to work independently and manage complex projects in a remote setting.
• Excellent problem-solving skills and a proactive approach to research and development.
• Strong communication skills for presenting technical concepts to a diverse audience.
• Must have reliable internet access and a dedicated home office setup for remote work.

Benefits

• Highly competitive compensation package including significant bonus potential.
• Comprehensive health benefits and retirement savings plans.
• Opportunity to work on challenging and intellectually stimulating projects.
• Full remote work flexibility, allowing for a global talent pool.
• Access to state-of-the-art trading technology and infrastructure.
• Continuous learning and professional growth opportunities.