Senior Quantitative Analyst - Remote

Placements24; Sandton; Hybrid; ZAR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Competitive compensation with bonuses

Job summary

Placements24 is seeking a Senior Quantitative Analyst to join a fully remote team in South Africa. You will design and backtest trading strategies, build execution algorithms, and develop risk models for multiple asset classes.

The role requires a PhD or Master’s in a quantitative field, 5+ years in quantitative finance, strong programming (Python/C++/R), and advanced ML techniques. Collaborate with traders and researchers in a fast-paced environment.

Qualifications

• PhD or Master’s in a quantitative field is required.
• Minimum 5 years in quantitative analysis, algo trading, or related finance roles.
• Expertise in statistical modeling, time series analysis, and ML algorithms.
• Proficiency in Python/C++/R and libraries; strong finance knowledge.

Responsibilities

• Design, develop, backtest quantitative trading strategies and models.
• Implement and optimize execution algorithms across asset classes.
• Conduct statistical analysis of market data to identify opportunities.
• Develop and maintain risk models to monitor portfolio exposures.
• Collaborate with traders to refine strategies and improve performance.
• Apply advanced ML techniques to financial modeling problems.
• Analyze large datasets to extract insights for decision making.
• Ensure robustness and scalability of solutions.
• Stay updated on quantitative finance and data science developments.
• Document methodologies and system designs thoroughly.

Skills

Statistical modeling

Time series analysis

Machine learning

Analytical skills

Remote work independence

Education

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

Tools

Python

C++

R

NumPy/Pandas/Scikit-learn

Job description

About the Role

Our client, a leading quantitative trading firm, is seeking a highly skilled Senior Quantitative Analyst to join their fully remote team. This is an exciting opportunity for a mathematically inclined professional to develop and implement sophisticated trading algorithms and risk models. The role is 100% remote, enabling you to work from any location within South Africa, contributing to our cutting-edge research and development efforts. You will leverage advanced statistical techniques, machine learning, and programming skills to drive innovation in financial markets. This position requires a strong academic background, deep understanding of financial instruments, and exceptional programming capabilities.

Key Responsibilities

• Design, develop, and backtest quantitative trading strategies and models.
• Implement and optimize algorithms for execution across various asset classes.
• Conduct in-depth statistical analysis of market data to identify trading opportunities.
• Develop and maintain risk management models to monitor and control portfolio exposures.
• Collaborate with portfolio managers and traders to refine strategies and improve performance.
• Research and apply advanced machine learning techniques to financial modeling problems.
• Analyze large datasets to extract meaningful insights and inform decision-making.
• Ensure the robustness, scalability, and efficiency of implemented solutions.
• Stay abreast of the latest developments in quantitative finance, econometrics, and data science.
• Document methodologies, research findings, and system designs thoroughly.

Requirements

• Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or related fields within the financial industry.
• Expertise in statistical modeling, time series analysis, and machine learning algorithms.
• Proficiency in programming languages such as Python, C++, or R, including relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
• Strong understanding of financial markets, derivatives, and portfolio theory.
• Experience with large-scale data processing and database management.
• Excellent analytical, problem-solving, and research skills.
• Ability to work independently and manage complex projects in a remote setting.
• Strong communication and collaboration skills, with the ability to explain complex concepts clearly.
• Demonstrated ability to work effectively in a fast-paced, research-driven environment.

Benefits

Our client offers a highly competitive compensation package, including a significant base salary, substantial performance-based bonuses, and potential equity participation. This is a fully remote position providing exceptional work-life balance and flexibility. You will have access to state-of-the-art tools and resources, and opportunities for continuous professional growth through challenging projects and virtual learning initiatives. Join a forward-thinking team shaping the future of quantitative finance.