Quantitative Analyst (Quant)

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work

Competitive salary

Growth opportunities

Insurance

Tech resources

Retirement plan

Job summary

Placements24 seeks a highly skilled Quantitative Analyst (Quant) to join a hedge fund in Richards Bay, KwaZulu-Natal. You will design and implement mathematical models for trading, risk, and portfolio optimization, collaborating with traders to drive alpha and manage risk in a hybrid work setup.

The ideal candidate has a strong academic background, excellent programming skills, and deep knowledge of financial markets, with opportunities for professional growth and access to cutting-edge

Qualifications

• Master's or Ph.D. in a quantitative field (Math/Stats/Physics/CS/Financial Eng).
• 3+ years in quantitative research or trading within a financial institution.
• Strong programming skills in Python, C++, or R.
• Solid understanding of statistical modeling, ML techniques, and time-series analysis.
• Familiarity with derivatives and portfolio management concepts.
• Able to work in a collaborative, fast-paced, hybrid environment.
• Eligible to work in South Africa.

Responsibilities

• Design, backtest, deploy quantitative trading strategies across asset classes.
• Build and maintain statistical and machine learning models for market prediction and risk assessment.
• Develop efficient algorithms for trade execution and portfolio construction.
• Collaborate with portfolio managers and traders to translate needs into quantitative solutions.
• Conduct rigorous statistical analysis of market data to identify patterns.
• Monitor and manage risk exposure of trading portfolios.
• Stay current with academic research and industry trends in quantitative finance.

Skills

Quantitative analysis

Python

C++

R

Time-series

Machine learning

Financial markets

Communication

Education

MSc or PhD in quantitative field

Financial engineering

Tools

Python

C++

R

Job description

About the Role

Our client, a prominent hedge fund management company, is seeking a highly skilled Quantitative Analyst (Quant) to join their innovative team in Richards Bay, KwaZulu-Natal . This role focuses on developing and implementing sophisticated mathematical models and algorithms for trading strategies, risk management, and portfolio optimization. You will work closely with traders and portfolio managers, leveraging your expertise in statistics, mathematics, and programming to drive alpha generation and manage risk effectively. The position offers a hybrid work model, blending the collaborative advantages of an office environment with the flexibility of remote work. The ideal candidate possesses a strong academic background, exceptional programming skills, and a deep understanding of financial markets. Join us in pushing the boundaries of quantitative finance in a dynamic and intellectually stimulating setting.

Key Responsibilities

• Design, develop, backtest, and deploy quantitative trading strategies across various asset classes.
• Build and maintain statistical and machine learning models for market prediction, risk assessment, and pricing.
• Develop and implement efficient algorithms for trade execution and portfolio construction.
• Collaborate with portfolio managers and traders to understand their needs and translate them into quantitative solutions.
• Conduct rigorous statistical analysis of market data to identify patterns and opportunities.
• Monitor and manage the risk exposure of trading portfolios.
• Optimize existing models and strategies for improved performance and robustness.
• Stay current with academic research and industry trends in quantitative finance.

Requirements

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Proven experience (3+ years) in a quantitative research or trading role within a financial institution.
• Strong proficiency in programming languages such as Python, C++, or R.
• Solid understanding of statistical modeling, machine learning techniques, and time-series analysis.
• Familiarity with financial markets, derivatives, and portfolio management concepts.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Ability to work effectively in a collaborative, fast-paced, and hybrid work environment.
• Strong communication skills to explain complex quantitative concepts to non-technical stakeholders.
• Must be legally eligible to work in South Africa .

Benefits

• Exceptional compensation package, including a highly competitive base salary and performance bonuses.
• Hybrid work arrangement providing work-life balance.
• Opportunities for professional growth and advanced training.
• Access to state-of-the-art technology and research resources.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company matching.
• Intellectually stimulating work environment focused on innovation.
• Collaborate with leading experts in quantitative finance in Richards Bay, KwaZulu-Natal .