Senior Quantitative Analyst - Algorithmic Trading

Placements24; Southampton; Hybrid; GBP 54,000 - 81,000; Full time

Benefits offered by this job

Health insurance

Performance-based bonuses

Retirement plan

Access to state-of-the-art trading and

Job summary

Placements24 is seeking a Senior Quantitative Analyst for a leading hedge fund role based in Randburg, Gauteng, offering a hybrid work arrangement. You will design, develop, and implement quantitative trading strategies across asset classes using advanced mathematical modeling, statistics, and machine learning.

The ideal candidate holds a PhD or master's in a quantitative field, excels in Python and C++, and has a deep understanding of financial markets and risk management.

Qualifications

• 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.

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.

Skills

Python

C++

Education

PhD or Master in Mathematics/Physics/CS/Statistics/Financial Engineering

Tools

Backtesting frameworks

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.