Remote Senior Quantitative Analyst: Trading & Risk

Placements24

Klerksdorp

Hybrid

ZAR 1,200,000 - 2,400,000

Full time

2 days ago
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Job summary

Placements24 is seeking a Senior Quantitative Analyst for a fully remote role with a leading fintech. You will design, backtest, and implement sophisticated models for trading, risk management, and portfolio optimization, using Python or R and producing production-ready solutions.

You’ll work with data at scale, apply time series methods, econometrics, and ML, and collaborate with trading teams to improve strategies.

Qualifications

  • PhD or MS in a quantitative field such as Mathematics, Statistics, Physics, CS, or Financial Engineering.
  • Minimum of 5 years of experience in quantitative analysis in hedge funds, investment banks, or fintech.
  • Advanced programming skills in Python, R, C++, or similar languages.
  • Expertise in statistical modeling, machine learning, time series analysis, and econometrics.

Responsibilities

  • Design, develop, and backtest complex quantitative models for financial markets.
  • Implement and deploy models into production using Python or R.
  • Conduct rigorous statistical analysis of market data to identify patterns and opportunities.
  • Develop and refine risk management frameworks and tools.
  • Collaborate with portfolio managers and traders to enhance investment strategies.
  • Analyze the performance of quantitative strategies and provide performance attribution.
  • Research and evaluate new quantitative methodologies and technologies.
  • Document model methodologies, assumptions, and limitations clearly.
  • Contribute to the development of automated trading systems and data pipelines.
  • Stay updated on academic research and industry trends in quantitative finance.

Skills

Python
R
C++
Time series analysis
Econometrics

Education

PhD in quantitative field
MS in quantitative field

Tools

Spark
Git

Job description

Placements24 is seeking a Senior Quantitative Analyst for a fully remote role with a leading fintech. You will design, backtest, and implement sophisticated models for trading, risk management, and portfolio optimization, using Python or R and producing production-ready solutions.

You’ll work with data at scale, apply time series methods, econometrics, and ML, and collaborate with trading teams to improve strategies.

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