Remote Senior Quantitative Analyst

Placements24; Gqeberha; Hybrid; ZAR 1,000,000 - 2,000,000; Full time

Benefits offered by this job

Profit-sharing

Fully remote

Flexible hours

Professional development budget

Health & wellness

Job summary

Placements24 seeks a remote Senior Quantitative Analyst to design and backtest trading strategies, build risk models, and analyze large datasets for a fintech team operating fully online.

You will collaborate with traders, developers, and data scientists worldwide, applying advanced mathematics, statistics, and programming to deliver data-driven insights with flexible work hours.

Qualifications

• Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• 5+ years of experience in quantitative analysis, algorithmic trading, or risk management in the finance industry.
• Proficiency in programming languages such as Python, R, C++, or Java.
• Strong understanding of statistical modeling, time series analysis, and machine learning algorithms.
• Experience with large-scale data analysis and database technologies.

Responsibilities

• Design, develop, and backtest quantitative trading strategies using statistical and machine learning techniques.
• Build and maintain sophisticated risk management models for various asset classes.
• Analyze large datasets to identify trading opportunities and market inefficiencies.
• Implement and optimize trading algorithms in a live production environment.
• Collaborate remotely with portfolio managers, developers, and other quantitative researchers.
• Conduct deep-dive research into market microstructure and behavioral finance.

Skills

Python

R

C++

Java

Statistical modeling

Time series analysis

Machine learning

Education

Master's or PhD in quantitative field

Tools

SQL

Big data platforms

Job description

About the Role

Our client is seeking an exceptional Remote Senior Quantitative Analyst to join their innovative fintech team, operating entirely online with a focus on the Eastern Cape market. This role requires advanced mathematical and statistical expertise to develop and implement sophisticated trading algorithms, risk models, and data-driven strategies. You will collaborate with a globally distributed team of traders, developers, and data scientists to enhance trading performance and manage complex financial instruments. The ideal candidate thrives in a remote setting, possesses strong analytical and programming skills, and is passionate about leveraging data to drive financial insights and innovation. This position offers unparalleled flexibility and the chance to make a significant impact from anywhere.

Key Responsibilities

• Design, develop, and backtest quantitative trading strategies using statistical and machine learning techniques.
• Build and maintain sophisticated risk management models for various asset classes.
• Analyze large datasets to identify trading opportunities and market inefficiencies.
• Implement and optimize trading algorithms in a live production environment.
• Collaborate remotely with portfolio managers, developers, and other quantitative researchers.
• Conduct deep-dive research into market microstructure and behavioral finance.

Requirements

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• 5+ years of experience in quantitative analysis, algorithmic trading, or risk management in the finance industry.
• Proficiency in programming languages such as Python, R, C++, or Java.
• Strong understanding of statistical modeling, time series analysis, and machine learning algorithms.
• Experience with large-scale data analysis and database technologies.
• Excellent problem-solving skills and the ability to work autonomously in a remote setup.

Benefits

• Highly competitive salary and performance-based profit-sharing.
• Fully remote work arrangement with flexible hours.
• Generous budget for professional development, conferences, and home office setup.
• Comprehensive health and wellness benefits package.
• Opportunity to work with cutting-edge technology and a world-class remote team.