Remote Quantitative Analyst - Finance & Risk

Placements24

Kempton Park

Remote

ZAR 1,000,000 - 1,800,000

Full time

8 days ago

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Benefits offered by this job

Competitive salary
Annual bonus
Health, dental, and vision insurance
Generous paid time off
Remote-friendly

Job summary

Placements24 is seeking a highly skilled Quantitative Analyst to join a remote finance division. You will develop and implement quantitative strategies, assess market risk, and drive innovation in financial product development from a remote-first environment.

The role focuses on advanced modeling, data-driven insights, and collaboration with trading teams, with a strong emphasis on rigorous back-testing and staying abreast of current research in quantitative finance and ML.

Qualifications

  • Advanced degree in a quantitative field (Master's or PhD).
  • 3+ years of quantitative analysis, financial modeling, or risk management experience.

Responsibilities

  • Develop, test, and implement complex quantitative models for pricing, risk management, and portfolio optimization.
  • Analyze large datasets to identify patterns and predictive signals for financial markets.
  • Collaborate with trading desks and portfolio managers to translate business needs into quantitative solutions.
  • Back-test and validate models to ensure accuracy and reliability.
  • Stay current with academic research and industry trends in quantitative finance and ML.
  • Document model methodologies, assumptions, and results clearly.

Skills

Python
R
C++
MATLAB
Time series
Statistical modeling

Education

Master's or PhD in quantitative field

Tools

Quant libraries

Job description

Placements24 is seeking a highly skilled Quantitative Analyst to join a remote finance division. You will develop and implement quantitative strategies, assess market risk, and drive innovation in financial product development from a remote-first environment.

The role focuses on advanced modeling, data-driven insights, and collaboration with trading teams, with a strong emphasis on rigorous back-testing and staying abreast of current research in quantitative finance and ML.

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