Remote Senior Market Risk Analyst (VaR & Stress Testing)

Placements24

Mbombela (Nelspruit)

Hybrid

ZAR 1,983,000 - 2,975,000

Full time

14 days+

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Benefits offered by this job

Competitive salary and incentives
Fully remote with flexible hours
Health, dental, and vision insurance
Professional development and certs
Dynamic quantitative environment

Job summary

Placements24 seeks a Senior Risk Analyst specializing in financial markets to join a remote-first team. You will develop and implement advanced risk models, perform stress testing, and deliver insights that guide trading and investment decisions across the portfolio.

The ideal candidate holds a Master’s or PhD in a quantitative field, with 5+ years in market risk, and strong skills in R, Python or MATLAB. You will work with trading desks, ensure regulatory compliance, and continuously evaluate

Qualifications

  • Master or PhD in a quantitative field such as Finance, Economics, Mathematics, or Statistics.
  • 5+ years of experience in market risk management or quantitative analysis in financial services.
  • Strong knowledge of markets, instruments, and risk principles.
  • Proficient in R, Python, or MATLAB for modeling and analysis.
  • Experience with risk management systems and databases.
  • Excellent analytical and communication skills.

Responsibilities

  • Develop, implement, and validate market risk models (VaR, stress testing, scenario analysis).
  • Monitor risk exposures across asset classes (equities, fixed income, derivatives).
  • Prepare risk reports and present findings to senior management and risk committees.
  • Collaborate with trading desks to understand risk drivers and mitigation strategies.
  • Ensure regulatory compliance related to market risk.
  • Research and evaluate new risk methodologies and technologies.

Education

Master's or PhD in a quantitative field

Tools

R
Python
MATLAB
Risk management systems

Job description

Placements24 seeks a Senior Risk Analyst specializing in financial markets to join a remote-first team. You will develop and implement advanced risk models, perform stress testing, and deliver insights that guide trading and investment decisions across the portfolio.

The ideal candidate holds a Master’s or PhD in a quantitative field, with 5+ years in market risk, and strong skills in R, Python or MATLAB. You will work with trading desks, ensure regulatory compliance, and continuously evaluate

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