Remote Quantitative Analyst

Placements24; LegKraal Gate; Híbrido; ZAR 1 000 000 - 1 600 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Fully remote

Competitive compensation

Health benefits package

Flexible schedule

Professional development

Resumo da oferta

Placements24 is hiring a Quantitative Analyst for a fully remote role. You will develop, test, and implement sophisticated quantitative models used for pricing, risk management and portfolio optimization, leveraging Python, C++, and R.

The ideal candidate holds a PhD or Master’s in a quantitative field with 4+ years of experience in quantitative analysis or algorithmic trading. Remote work offers flexibility and access to advanced datasets and competitive compensation.

Qualificações

• PhD or Master’s in a quantitative field (e.g., Financial Engineering, Mathematics, Statistics, Physics, Computer Science).
• 4+ years in quantitative analysis, financial modeling, or algorithmic trading within finance.

Responsabilidades

• Develop and refine quantitative models for asset pricing, risk management, and trading strategies.
• Conduct rigorous backtesting and statistical analysis of model performance.
• Implement quantitative models using Python, C++, or R.
• Collaborate with portfolio managers and traders to translate research ideas into practical trading tools.
• Analyze large datasets to identify market inefficiencies and trading opportunities.
• Monitor model performance in live trading environments and implement adjustments as needed.
• Document models, methodologies, and research findings thoroughly.

Conhecimentos

Python

C++

R

Econometrics

Formação académica

PhD in quantitative field

Master's in quantitative field

Ferramentas

Pandas

SQL

NumPy

Scikit-learn

Descrição da oferta de emprego

About the Role

Our client, a leading quantitative hedge fund, is seeking a highly skilled Quantitative Analyst to join their fully remote team. This position is ideal for an individual who excels in a decentralized work environment and possesses a strong aptitude for mathematical modeling and financial analysis. You will be responsible for developing, testing, and implementing sophisticated quantitative models used for trading strategies, risk management, and portfolio optimization. The ideal candidate has a deep understanding of financial markets, advanced programming skills, and a passion for uncovering complex patterns within data. This role offers the opportunity to work on challenging problems with cutting-edge technology, contributing to the firm's success from the comfort of your home office.

Key Responsibilities

• Develop and refine quantitative models for asset pricing, risk management, and trading strategies.
• Conduct rigorous backtesting and statistical analysis of model performance.
• Implement quantitative models using programming languages such as Python, C++, or R.
• Collaborate with portfolio managers and traders to translate research ideas into practical trading tools.
• Analyze large datasets to identify market inefficiencies and trading opportunities.
• Monitor model performance in live trading environments and implement adjustments as needed.
• Ensure the accuracy and reliability of financial data used in modeling.
• Stay current with academic research and industry trends in quantitative finance.
• Document models, methodologies, and research findings thoroughly.
• Contribute to the firm's quantitative research pipeline and strategic development.

Requirements

• Ph.D. or Master's degree in a quantitative discipline such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
• Proven experience (4+ years) in quantitative analysis, financial modeling, or algorithmic trading within the financial industry.
• Advanced proficiency in programming languages such as Python, C++, or R.
• Strong understanding of financial markets, derivatives, econometrics, and statistical modeling techniques.
• Experience with data manipulation and analysis tools.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently and manage multiple projects effectively in a remote setting.
• Strong communication skills to articulate complex technical concepts to diverse audiences.
• A proactive approach to research and development.
• Familiarity with machine learning techniques is a plus.

Benefits

• Highly competitive salary and significant performance-based bonuses.
• Fully remote work arrangement, offering maximum flexibility.
• Access to advanced computational resources and datasets.
• Opportunities for groundbreaking research and development in quantitative finance.
• A challenging and intellectually stimulating work environment.
• Comprehensive health and wellness benefits package.
• Retirement savings plan with generous matching.
• Collaborative virtual team culture.
• Support for professional development and conference attendance.
• Generous paid time off and holiday leave.