Quantitative Research Analyst

Verition Fund Management LLC

Dubai, United Arab Emirates
$100,000—$200,000 usd py
On-site
Alpha generation models
Statistical and machine learning techniques
Financial market analysis
Verition Fund Management LLC is seeking a Quantitative Research Analyst for its Quant Strategies Group, focusing on the development and implementation of complex models and algorithms that drive investment strategies. The ideal candidate should possess strong quantitative analysis skills and experience in financial markets, with proficiency in programming languages like Python or R

Job Summary

  • Develop and implement complex models and algorithms for investment strategies, risk management, and financial decision-making.
  • Conduct quantitative research to understand market dynamics and investor behavior, applying quantitative methods to develop strategies.
  • Work closely with portfolio managers and traders, providing actionable insights and recommendations for alpha-generating strategies.

Matching Summary

Match Score: 85

Verition Fund Management LLC is seeking a Quantitative Research Analyst for its Quant Strategies Group, focusing on the development and implementation of complex models and algorithms that drive investment strategies. The ideal candidate should possess strong quantitative analysis skills and experience in financial markets, with proficiency in programming languages like Python or R.

Salary

$100,000—$200,000 USD

Skills & Requirements

Must-have

  • Alpha generation models
  • Statistical and machine learning techniques
  • Financial market analysis
  • Algorithm design for trading
  • Python, R, or MATLAB proficiency

Nice-to-have

  • Creative opportunity identification
  • Stakeholder communication
  • Machine learning in finance

Key Requirements

  • Degree in quantitative field
  • Proven track record in alpha generation
  • Experience in quantitative analysis
  • Machine learning, AI, big data analytics experience is a plus

Work Rights

Not specified

Tailored Resume

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