Lead Quantitative Analyst - Remote

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 1,800,000 - 2,700,000; Full time

Job summary

Placements24 invites applications for a Lead Quantitative Analyst to join a fully remote trading strategy team at a cutting-edge hedge fund. The role centers on designing, implementing, and refining sophisticated trading algorithms and financial models, with emphasis on translating research into practical strategies.

The successful candidate will drive alpha generation through advanced numerical methods, work with portfolio managers across locations, and mentor junior quants while enjoying the

Qualifications

• Master's or PhD in Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• 7+ years in quantitative research or trading in the financial industry.
• Strong programming skills in Python, C++, with libraries such as NumPy, SciPy, Pandas.
• Expertise in statistical modeling, time-series analysis, ML, and data mining techniques.
• Deep understanding of financial markets, derivatives, and portfolio theory.
• Experience with large datasets and SQL.
• Excellent analytical, problem-solving, and research capabilities.
• Proven ability to work independently in a remote setting with strong communication.

Responsibilities

• Design, develop, and backtest quantitative trading strategies across asset classes.
• Build and maintain high-performance trading systems and execution algorithms.
• Conduct rigorous statistical analysis and data mining to identify market inefficiencies.
• Collaborate with portfolio managers to understand investment objectives and risk parameters.
• Develop predictive models for market movements, volatility, and other financial variables.
• Implement real-time risk management systems and monitoring tools.
• Optimize algorithms for performance, scalability, and robustness.
• Stay abreast of academic research and industry trends in quantitative finance.
• Mentor junior quantitative analysts and contribute to technical growth.
• Document research findings, model designs, and implementations.

Skills

Python

C++

Statistical modeling

Time-series analysis

Machine learning

Data mining

Remote collaboration

Education

Master's or PhD in quantitative field

Tools

NumPy

SciPy

Pandas

SQL

Job description

About the Role

Our client, a cutting-edge quantitative hedge fund, is seeking an exceptional Lead Quantitative Analyst to join their fully remote trading strategy team. This role is pivotal in developing, implementing, and refining sophisticated trading algorithms and financial models. You will be at the forefront of quantitative research, leveraging advanced mathematical and statistical techniques to drive alpha generation. The position requires a deep understanding of financial markets, programming proficiency, and a proven ability to translate complex research into practical trading strategies. As a remote-first employee, you will collaborate closely with portfolio managers and fellow quants across different locations, contributing to a culture of innovation and intellectual curiosity. This is a unique opportunity to make a significant impact in a highly challenging and rewarding field, enjoying the autonomy and flexibility of remote work.

Key Responsibilities

• Design, develop, and backtest quantitative trading strategies across various asset classes.
• Build and maintain high-performance trading systems and execution algorithms.
• Conduct rigorous statistical analysis and data mining to identify market inefficiencies and trading opportunities.
• Collaborate with portfolio managers to understand investment objectives and risk parameters.
• Develop predictive models for market movements, volatility, and other financial variables.
• Implement real-time risk management systems and monitoring tools.
• Optimize existing algorithms for performance, scalability, and robustness.
• Stay abreast of the latest academic research and industry trends in quantitative finance.
• Mentor junior quantitative analysts and contribute to the team's technical growth.
• Document research findings, model designs, and implementation details thoroughly.

Requirements

• Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 7 years of experience in quantitative research or trading roles within the financial industry.
• Strong programming skills in Python, C++, or similar languages, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas).
• Demonstrated expertise in statistical modeling, time-series analysis, machine learning, and data mining techniques.
• Deep understanding of financial markets, derivatives, and portfolio theory.
• Experience with large datasets and database technologies (e.g., SQL).
• Excellent analytical, problem-solving, and research capabilities.
• Proven ability to work independently, manage complex projects, and deliver results in a remote setting.
• Strong communication skills to articulate complex quantitative concepts to both technical and non-technical audiences.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.

Benefits

Our client offers an exceptionally competitive compensation package, including a significant base salary, substantial performance bonuses, and potential for profit sharing. As a fully remote role, you gain the freedom to work from anywhere. The firm provides access to state-of-the-art technology infrastructure and research resources. We offer comprehensive health, dental, and vision insurance, along with a generous retirement savings plan. Opportunities for continuous learning and professional development are highly encouraged. Our client fosters a meritocratic culture that rewards innovation and high performance, providing a dynamic and intellectually stimulating work environment for all remote employees.