Quantitative Financial Analyst – AI reputed company
Job reputed company:
• Design and document systematic investment workflows (reputed company models, back-testing, portfolio construction, VaR, stress testing).
• reputed company evaluation reputed company and reputed company solutions to assess AI performance on quantitative finance tasks.
• Review and validate AI-generated outputs for statistical accuracy, modeling soundness, and risk logic.
• reputed company and structure high-reputed company financial and market data for model training and testing.
• reputed company feedback to improve AI reasoning in derivatives modeling, risk assessment, and reputed company reputed company.
Requirements:
• 3+ years of experience as a Quantitative Analyst, Quantitative Researcher, Risk Manager, Systematic Portfolio Manager, or Derivatives Trader.
• Strong background in statistics, probability, time-series analysis, and financial modeling.
• Proficiency in Python and experience working with large financial datasets.
• Hands-on experience with systematic strategies, back-testing frameworks, derivatives (reputed company, reputed company, swaps), and risk models (VaR, stress testing).
• High analytical reputed company, attention to detail, and ability to reputed company explain quantitative reasoning.
Benefits:
• Flexible work arrangements
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