Quantitative Analyst (Quant)

Placements24; East London; On-site; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Bonus program

Full-time in-office

Medical aid

Retirement benefits

Research opportunities

Job summary

Placements24 is seeking a highly skilled Quantitative Analyst to join the advanced analytics team in East London. The role involves developing complex models to price financial instruments, manage risk, and drive trading strategies with large datasets.

The ideal candidate has a Master's or PhD in a quantitative field, 3–5 years of experience in derivatives/trading, and proficiency in Python/C++/R. This in-office role offers a competitive remuneration and strong growth opportunities.

Qualifications

• Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
• 3–5 years of experience as a Quantitative Analyst in the financial industry, with a focus on derivatives or trading.
• Expertise in programming languages such as Python, C++, or R, and experience with statistical software.
• Strong understanding of financial markets, derivatives pricing, and risk management techniques.
• Excellent analytical, problem-solving, and communication skills, with the ability to explain complex concepts clearly.

Responsibilities

• Develop, test, and implement quantitative models for pricing, risk management, and trading strategies.
• Analyze large datasets to identify market trends and opportunities for algorithmic trading.
• Collaborate with traders and portfolio managers to translate business needs into quantitative solutions.
• Perform back-testing and validation of models to ensure accuracy and performance.
• Contribute to the continuous improvement of the firm's quantitative infrastructure and methodologies.

Skills

Quantitative analysis

Financial markets knowledge

Problem solving

Communication

Education

Master's or PhD in Mathematics/Statistics/Physics/CS

Tools

Python

C++

R

Job description

About the Role

Our client is seeking a highly skilled and innovative Quantitative Analyst (Quant) to join their advanced analytics team in East London . This role involves developing complex mathematical models and algorithms to price financial instruments, manage risk, and drive trading strategies within the banking and finance domain. You will work with large datasets, cutting-edge technology, and collaborate with traders and portfolio managers to implement sophisticated quantitative solutions. The ideal candidate possesses a strong academic background in a quantitative discipline and practical experience in financial modeling.

Key Responsibilities

• Develop, test, and implement quantitative models for pricing, risk management, and trading strategies.
• Analyze large datasets to identify market trends and opportunities for algorithmic trading.
• Collaborate with traders and portfolio managers to translate business needs into quantitative solutions.
• Perform back-testing and validation of models to ensure accuracy and performance.
• Contribute to the continuous improvement of the firm's quantitative infrastructure and methodologies.

Requirements

• Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
• 3-5 years of experience as a Quantitative Analyst in the financial industry, with a focus on derivatives or trading.
• Expertise in programming languages such as Python, C++, or R, and experience with statistical software.
• Strong understanding of financial markets, derivatives pricing, and risk management techniques.
• Excellent analytical, problem-solving, and communication skills, with the ability to explain complex concepts clearly.

Benefits

• Highly competitive salary and significant bonus structure reflecting expertise.
• Full-time, in-office role located in East London .
• Comprehensive medical aid and retirement benefits.
• Opportunities for research, publication, and professional growth.
• A challenging and intellectually stimulating work environment at the forefront of financial innovation.