Quantitative Analyst

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Bonuses

Remote work

Health benefits

Tech resources

Learning opportunities

Job summary

Placements24 seeks a highly skilled Quantitative Analyst to join its remote-driven strategies team. You will develop and implement complex mathematical models for trading, risk management, and portfolio optimization, working with large datasets and cutting-edge technology to derive actionable insights.

You will collaborate with portfolio managers to translate research into practical applications, stay current with advances in statistics, ML, and data science, and document all models thoroughly

Qualifications

• Master's or Ph.D. in a quantitative field.
• 3+ years of proven experience as a Quantitative Analyst or similar role.
• Strong programming skills in Python, R, C++, or Java.
• Deep understanding of statistical modeling, time series analysis, ML, and financial mathematics.
• Experience with large-scale data analysis and database technologies.

Responsibilities

• Develop, test, and implement quantitative models for trading strategies, risk assessment, and portfolio construction.
• Analyze large datasets to identify patterns, correlations, and predictive signals.
• Collaborate with portfolio managers and traders to translate research findings into practical applications.
• Optimize existing models for performance, efficiency, and accuracy.
• Stay abreast of the latest research in quantitative finance, machine learning, and data science.
• Maintain and document all models and analytical processes meticulously.

Skills

Python

R

C++

Java

Statistical modeling

Time series analysis

Machine learning

Financial mathematics

Independent work

Remote communication

Education

Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, or Financial Engineering

Tools

SQL

Database technologies

Job description

About the Role

Our client is seeking a highly skilled Quantitative Analyst to join their sophisticated quantitative strategies team. Operating remotely, this role is crucial for developing and implementing complex mathematical models and algorithms for trading, risk management, and portfolio optimization. You will work with large datasets and cutting-edge technology to derive actionable insights that drive significant financial returns. This position is perfect for a talented quant professional who thrives in an intellectually stimulating, fully remote environment and is passionate about applying advanced statistical and computational methods to financial markets.

Key Responsibilities

• Develop, test, and implement quantitative models for trading strategies, risk assessment, and portfolio construction.
• Analyze large datasets to identify patterns, correlations, and predictive signals.
• Collaborate with portfolio managers and traders to translate research findings into practical applications.
• Optimize existing models for performance, efficiency, and accuracy.
• Stay abreast of the latest research in quantitative finance, machine learning, and data science.
• Maintain and document all models and analytical processes meticulously.

Requirements

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Proven experience (3+ years) as a Quantitative Analyst or in a similar quantitative role.
• Strong programming skills in languages like Python, R, C++, or Java.
• Deep understanding of statistical modeling, time series analysis, machine learning, and financial mathematics.
• Experience with large-scale data analysis and database technologies.
• Ability to work independently and communicate complex technical concepts effectively in a remote setting.

Benefits

• Highly competitive salary and substantial performance-based bonuses.
• Fully remote work arrangement with global team collaboration.
• Comprehensive health and wellness benefits.
• Access to state-of-the-art technology and research resources.
• Continuous learning environment with opportunities for challenging projects.