Remote Quantitative Analyst - Algorithmic Trading

Placements24; Kempton Park; Hybrid; ZAR 1,969,000 - 3,117,000; Full time

Benefits offered by this job

Health insurance

Retirement contributions

Remote work

Job summary

Placements24 is seeking a Quantitative Analyst for a fully remote role working with a pioneering quantitative trading firm. The candidate will design, backtest, and deploy sophisticated trading strategies, analyze large datasets for predictive signals, and build risk management systems in a fast-paced environment.

Experience in Python/C++ and ML methods is essential for success. Ideal candidates hold a Master’s or PhD in a quantitative field, with 3+ years in quantitative analysis or algorithmic

Qualifications

• Master's or Ph.D. in a quantitative field (Math/Stats/Physics/CS/Financial Engineering)
• 3+ years in quantitative analysis, algorithmic trading, or related field
• Strong programming in Python, C++, or similar, with data manipulation libraries

Responsibilities

• Design, develop, and backtest quantitative trading strategies using statistical and machine learning techniques.
• Analyze large datasets to identify patterns, correlations, and predictive signals in financial markets.
• Develop and maintain real-time trading algorithms and risk management systems.
• Collaborate with software engineers to implement and deploy trading strategies in production environments.
• Monitor the performance of trading algorithms and conduct ongoing research to improve effectiveness.
• Perform thorough risk analysis and implement risk mitigation strategies.
• Stay abreast of the latest academic research and industry trends in quantitative finance.
• Contribute to the continuous improvement of the firm\'s quantitative infrastructure and methodologies.

Skills

Quantitative analysis

Python

C++

Machine learning

Time series

Statistics

Education

Master's or PhD in a quantitative field

Tools

NumPy

Pandas

SciPy

Job description

About the Role

Our client is a pioneering quantitative trading firm looking to expand its globally distributed team with a skilled Quantitative Analyst. This is a fully remote position, allowing you to work from anywhere, provided you have a reliable internet connection. The successful candidate will be responsible for developing and implementing sophisticated quantitative models for algorithmic trading strategies. You will leverage your expertise in mathematics, statistics, and programming to identify trading opportunities, optimize execution, and manage risk in fast-paced markets. This role requires a deep understanding of financial markets and a passion for quantitative research. The remote-first culture of our client fosters collaboration through advanced digital tools and a commitment to asynchronous communication, ensuring seamless integration regardless of your location. You will be an integral part of a team that is at the forefront of financial innovation, driving profitability through data-driven insights and cutting-edge technology.

Key Responsibilities

• Design, develop, and backtest quantitative trading strategies using statistical and machine learning techniques.
• Analyze large datasets to identify patterns, correlations, and predictive signals in financial markets.
• Develop and maintain real-time trading algorithms and risk management systems.
• Collaborate with software engineers to implement and deploy trading strategies in production environments.
• Monitor the performance of trading algorithms and conduct ongoing research to improve their effectiveness.
• Perform thorough risk analysis and implement risk mitigation strategies.
• Stay abreast of the latest academic research and industry trends in quantitative finance.
• Contribute to the continuous improvement of the firm's quantitative infrastructure and methodologies.

Requirements

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Proven experience (3+ years) in quantitative analysis, algorithmic trading, or a related field.
• Strong programming skills in Python, C++, or similar languages, with experience in data manipulation and analysis libraries (e.g., NumPy, Pandas, SciPy).
• Solid understanding of financial markets, derivatives, and trading mechanisms.
• Expertise in statistical modeling, time series analysis, and machine learning algorithms.
• Experience with large-scale data processing and database technologies.
• Excellent problem-solving skills and a rigorous, analytical mindset.
• Ability to work independently and manage multiple projects in a remote setting.

Benefits

As a fully remote employee, you will receive a highly competitive salary, performance-based bonuses, and a comprehensive benefits package including health insurance and retirement contributions. Our client invests in your professional growth with opportunities for continuous learning and development, access to cutting-edge research, and the chance to work with a globally recognized team of experts in algorithmic trading. Enjoy the flexibility and autonomy of a remote role while contributing to the success of a leading firm in the finance industry.