Senior Quantitative Analyst

Placements24; Benoni; Hybrid; ZAR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Competitive base salary

Performance bonuses

Health insurance

Retirement plan

Remote-first culture

Professional growth

Job summary

Placements24 is seeking a Senior Quantitative Analyst for a remote-friendly role with a leading quantitative trading firm. You will design and implement sophisticated models, work across global markets, and drive trading strategies with alpha opportunities.

The ideal candidate holds a PhD or MSc in a quantitative field, 5–7 years of relevant experience, and expert programming skills in Python, C++, and R. You will collaborate with traders and mentors while advancing rigorous risk management.

Qualifications

• PhD or MS in a highly quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 5-7 years of experience in quantitative research or trading roles within the financial industry.
• Proven track record of developing and implementing successful quantitative trading strategies.
• Expert proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R).
• Strong knowledge of statistical modeling, time series analysis, econometrics, and machine-learning techniques.

Responsibilities

• Design, develop, and implement quantitative trading models and strategies across global markets.
• Conduct rigorous backtesting and statistical analysis of trading strategies to assess performance and risk.
• Develop algorithms for optimal execution, portfolio construction, and risk management.
• Research and explore new data sources and modeling techniques to identify potential alpha.
• Collaborate closely with traders and portfolio managers to understand market dynamics and refine strategy implementation.
• Build and maintain robust analytical tools and infrastructure for model deployment and monitoring.
• Analyze market microstructure and execution patterns to improve trading efficiency.
• Stay abreast of the latest academic research and industry trends in quantitative finance.
• Contribute to the firm's intellectual capital and mentor junior quantitative analysts.
• Ensure all models are well-documented, validated, and adhere to best practices.

Skills

Python

C++

R

Time Series

Machine Learning

Statistics

HFT data

Education

PhD in Mathematics/Statistics/CS/Finance

MS in quantitative field

Tools

Git

SQL

Pandas

NumPy

Job description

About the Role

Our client, a leading quantitative trading firm, is actively seeking a highly motivated and experienced Senior Quantitative Analyst to join their elite team. This position is fully remote, offering the ultimate flexibility to work from anywhere. You will be at the forefront of developing sophisticated mathematical models and algorithms that drive our trading strategies across various asset classes. The role requires a deep understanding of financial markets, advanced statistical knowledge, and exceptional programming skills. You will collaborate with portfolio managers and traders to identify alpha opportunities and manage risk effectively. This is a challenging and rewarding opportunity for a top-tier quant professional looking to make a significant impact in a performance-driven, remote-first environment. We are dedicated to fostering an inclusive and dynamic culture where innovation thrives and individual contributions are recognized.

Key Responsibilities

• Design, develop, and implement quantitative trading models and strategies across global markets.
• Conduct rigorous backtesting and statistical analysis of trading strategies to assess performance and risk.
• Develop algorithms for optimal execution, portfolio construction, and risk management.
• Research and explore new data sources and modeling techniques to identify potential alpha.
• Collaborate closely with traders and portfolio managers to understand market dynamics and refine strategy implementation.
• Build and maintain robust analytical tools and infrastructure for model deployment and monitoring.
• Analyze market microstructure and execution patterns to improve trading efficiency.
• Stay abreast of the latest academic research and industry trends in quantitative finance.
• Contribute to the firm's intellectual capital and mentor junior quantitative analysts.
• Ensure all models are well-documented, validated, and adhere to best practices.

Requirements

• Ph.D. or Master's degree in a highly quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 5-7 years of experience in quantitative research or trading roles within the financial industry.
• Proven track record of developing and implementing successful quantitative trading strategies.
• Expert proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R).
• Strong knowledge of statistical modeling, time series analysis, econometrics, and machine-learning techniques.
• Experience with large datasets and high-frequency trading data is a significant advantage.
• Excellent problem-solving abilities and analytical rigor.
• Strong communication and interpersonal skills, with the ability to articulate complex ideas clearly.
• Ability to work independently and manage research projects with minimal supervision in a remote setting.
• Demonstrated passion for financial markets and quantitative methods.

Benefits

• Exceptional compensation package including a highly competitive base salary and significant performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous retirement savings plan.
• Opportunities for professional growth and continuous learning in a cutting-edge field.
• Access to powerful computing resources and cutting-edge research platforms.
• A culture of innovation and intellectual curiosity in a remote-first setup.