Quantitative Analyst

Placements24; Vereeniging; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Fully remote work

Flexible hours

Top-tier health insurance

Job summary

Placements24 seeks a brilliant Quantitative Analyst to join a remote trading and risk management team. You will develop sophisticated mathematical models, backtest strategies, and implement algorithms for trading and risk assessment in a fully remote setting.

The role requires an advanced degree in Mathematics/Physics/Statistics/CS/Financial Engineering, strong coding skills (Python/C++/R/MATLAB), and experience with large datasets. Flexible hours and cutting-edge compute resources are provided.

Qualifications

• Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Proven experience in quantitative modeling, statistical analysis, and algorithm development.
• Proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R, MATLAB).
• Strong understanding of financial markets, derivatives, risk management, and statistical modeling techniques.
• Experience working with large datasets and distributed computing environments.

Responsibilities

• Develop, backtest, and implement quantitative models for algorithmic trading, risk management, and asset pricing.
• Analyze large, complex datasets to identify patterns, correlations, and market inefficiencies.
• Collaborate with traders, portfolio managers, and other quantitative researchers to refine and deploy models.
• Design and implement efficient algorithms for high-frequency trading and risk calculations.
• Write robust, production-ready code in languages such as Python, C++, or R.
• Stay abreast of the latest academic research and industry trends in quantitative finance.

Skills

Python

C++

R

MATLAB

Statistical analysis

Algorithm development

Distributed computing

Problem solving

Financial markets knowledge

Education

Master's or PhD in a quantitative field

Tools

Python

C++

R

MATLAB

Job description

About the Role

Our client seeks a brilliant and innovative Quantitative Analyst to join their remote trading and risk management team. This position is at the forefront of developing sophisticated mathematical models and algorithms used for trading strategies, risk assessment, and portfolio optimization within the banking and finance sector. You will work with vast datasets, leveraging advanced statistical and computational techniques to drive financial decision-making. The ideal candidate is a highly skilled mathematician or physicist with a passion for applying complex theories to solve real-world financial problems in a fully remote setting.

Key Responsibilities Develop, backtest, and implement quantitative models for algorithmic trading, risk management, and asset pricing. Analyze large, complex datasets to identify patterns, correlations, and market inefficiencies. Collaborate with traders, portfolio managers, and other quantitative researchers to refine and deploy models. Design and implement efficient algorithms for high-frequency trading and risk calculations. Write robust, production-ready code in languages such as Python, C++, or R. Stay abreast of the latest academic research and industry trends in quantitative finance. Requirements Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering. Proven experience in quantitative modeling, statistical analysis, and algorithm development. Proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R, MATLAB). Strong understanding of financial markets, derivatives, risk management, and statistical modeling techniques. Experience working with large datasets and distributed computing environments. Excellent problem-solving abilities and a rigorous, scientific approach to research and development. Benefits Extremely competitive salary and bonus structure, reflecting the specialized nature of the role. Fully remote work environment with flexible hours. Comprehensive benefits package, including top-tier health insurance and retirement plans. Access to cutting-edge technology and high-performance computing resources. Intellectual stimulation and the opportunity to make a significant impact on the firm's trading strategies and risk management capabilities.