Quantitative Analyst - Algorithmic Trading

Placements24

Cape Town

On-site

ZAR 900,000 - 1,800,000

Full time

3 days ago
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Benefits offered by this job

Competitive bonus
Private healthcare
Retirement plan
Relocation assistance

Job summary

Placements24 in Cape Town seeks a highly skilled Quantitative Analyst to join a leading financial services client. You will design, back-test, and deploy quantitative trading strategies across asset classes, leveraging advanced mathematics and machine learning techniques to gain a market edge.

The role requires a Master’s or PhD in a quantitative field, 3+ years in quantitative finance, and strong programming skills in Python, C++, or R with NumPy, Pandas, and Scikit-learn.

Qualifications

  • Master's or Ph.D. in Mathematics, Statistics, Physics, CS or Financial Engineering.
  • 3+ years in quantitative analysis, algorithmic trading, or related roles in banking/finance.
  • Strong programming skills in Python, C++, or R with NumPy, Pandas, Scikit-learn.
  • Deep understanding of financial markets, asset pricing, and derivatives.

Responsibilities

  • Design, implement, and test quantitative trading algorithms across asset classes.
  • Develop statistical models and ML techniques to identify market patterns and predict price movements.
  • Perform rigorous back-testing and performance analysis of trading strategies.
  • Collaborate with portfolio managers to integrate models into workflows.
  • Optimize trading strategies for efficiency, profitability, and risk management.
  • Research new quantitative methods and market microstructure.
  • Monitor live strategy performance and adjust as needed.
  • Stay abreast of developments in quantitative finance and ML.

Skills

Python
C++
R
NumPy
Pandas
Scikit-learn
Time series analysis
Machine learning
Statistical modeling

Education

Master's or Ph.D. in quantitative field

Tools

Back-testing platforms
risk management frameworks

Job description

About the Role Our client, a leading financial services firm, is actively seeking a highly skilled and innovative Quantitative Analyst to join their cutting-edge team based in the vibrant city of Cape Town, Western Cape . This role is critical for developing, back-testing, and deploying sophisticated quantitative trading strategies. You will be at the forefront of financial innovation, leveraging advanced mathematical and statistical techniques to gain a competitive edge in the market. This is an exceptional career opportunity for a mathematically gifted individual passionate about financial markets and technology, to contribute to a high-performance environment. The position requires full-time dedication at our Cape Town office, fostering close collaboration and team synergy.

Key Responsibilities
  • Design, implement, and test quantitative trading algorithms across various asset classes.
  • Develop statistical models and machine learning techniques to identify market patterns and predict price movements.
  • Perform rigorous back-testing and performance analysis of trading strategies.
  • Collaborate with portfolio managers and traders to integrate quantitative models into trading workflows.
  • Optimize trading strategies for efficiency, profitability, and risk management.
  • Conduct research on new quantitative methods and market microstructure.
  • Monitor the performance of live trading strategies and make necessary adjustments.
  • Stay abreast of the latest developments in quantitative finance, machine learning, and relevant technologies.
Requirements
  • Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
  • Proven experience (3+ years) in quantitative analysis, algorithmic trading, or related roles within the banking & finance industry.
  • Strong programming skills in languages like Python, C++, or R, with experience in relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
  • Deep understanding of financial markets, asset pricing, and derivatives.
  • Expertise in statistical modeling, time series analysis, and machine learning algorithms.
  • Experience with back-testing platforms and risk management frameworks.
  • Excellent analytical and problem-solving abilities.
  • Strong communication skills, capable of explaining complex quantitative concepts to non-technical audiences.
  • A proactive and results-oriented mindset.
Benefits
  • Highly competitive salary and substantial performance-based bonuses.
  • Private healthcare and generous retirement savings plan.
  • Access to cutting-edge technology and research resources.
  • Opportunities for continuous learning and professional growth in quantitative finance.
  • Collaborative and intellectually stimulating work environment.
  • Relocation assistance may be provided for exceptional candidates.
  • Regular team-building events and social activities.
  • Prime office location in Cape Town with excellent amenities.
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