Senior Quantitative Analyst - Algorithmic Trading

Placements24; Randburg; Hybrid; ZAR 1,800,000 - 2,600,000; Full time

Benefits offered by this job

Performance bonuses

Health insurance

Job summary

Placements24 seeks a Senior Quantitative Analyst for its Randburg-based trading desk. You will design and implement quantitative trading strategies across asset classes using advanced math, statistics, and machine learning.

A PhD or Master’s in a quantitative field, plus 5+ years of experience, are highly valued.

Qualifications

• PhD or Master’s in Mathematics, Physics, Computer Science, Statistics, or Financial Engineering.
• Minimum 5 years in quantitative analysis, algorithmic trading, or similar role in hedge funds, banks, or prop desks.
• Strong programming in Python and C++.
• Deep knowledge of statistical modeling, time series, econometrics, and ML.
• Experience with financial markets, derivatives, and trading platforms.
• Proven ability to develop and implement complex mathematical models.

Responsibilities

• Research, design, and implement quantitative trading algorithms and strategies.
• Develop and backtest trading models using historical and real-time data.
• Analyze large datasets to identify trading patterns and opportunities.
• Build robust trading systems with software engineers.
• Monitor and optimize live trading strategies and manage risk.
• Collaborate with portfolio managers and traders to refine strategies.

Skills

Python

C++

Time series

ML/AI

Statistics

Financial markets

Quantitative analysis

Communication

Education

PhD or Master’s in quantitative field

Job description

About the Role

Our client, a leading quantitative hedge fund, is seeking an exceptional Senior Quantitative Analyst to join their sophisticated trading desk. This role, based in Randburg, Gauteng , offers the opportunity to design, develop, and implement cutting-edge quantitative trading strategies across various asset classes. You will leverage advanced mathematical modeling, statistical analysis, and machine learning techniques to generate alpha and manage risk in highly competitive markets. The ideal candidate possesses a PhD or Master's in a quantitative field, a strong programming background (Python, C++), and a deep understanding of financial markets. This is a challenging role that requires innovation and a data-driven approach within the demanding Banking & Finance sector. The position offers a Hybrid work arrangement, allowing for focused independent work and essential team collaboration.

Key Responsibilities

• Research, design, and implement quantitative trading algorithms and strategies.
• Develop and backtest trading models using historical and real-time market data.
• Analyze large datasets to identify trading patterns, anomalies, and opportunities.
• Build robust and efficient trading systems in collaboration with software engineers.
• Monitor and optimize the performance of live trading strategies.
• Manage and mitigate trading risks, including market risk, liquidity risk, and operational risk.
• Collaborate with portfolio managers and traders to refine strategies and execute trades.
• Stay abreast of the latest academic research and technological advancements in quantitative finance.
• Conduct post-trade analysis and performance attribution.
• Contribute to the firm's intellectual capital and technological infrastructure.

Requirements

• PhD or Master's degree in a highly quantitative field such as Mathematics, Physics, Computer Science, Statistics, or Financial Engineering.
• Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or a similar role within hedge funds, investment banks, or proprietary trading firms.
• Strong proficiency in programming languages, particularly Python and C++.
• Deep understanding of statistical modeling, time series analysis, econometrics, and machine learning techniques.
• Experience with financial markets, derivatives, and trading execution platforms.
• Proven ability to develop and implement complex mathematical models.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to explain complex concepts to diverse audiences.
• Experience working in a Hybrid environment is preferred.
• High level of intellectual curiosity and a drive for innovation.

Benefits

• Exceptional salary package with significant performance-based bonuses.
• Comprehensive health, dental, and vision coverage.
• Retirement savings plan with generous employer contributions.
• Access to state-of-the-art trading technology and data resources.
• Opportunity to work on highly complex and rewarding quantitative challenges in Randburg .
• A collaborative and intellectually stimulating work culture.