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Quantitative Trading Analyst

Quantitative Trading Analyst

DUOTECH PTE. LTD.Singapore, Singapore, Singapore
12 days ago
Job description

About the company

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting-edge strategies.

With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, and more.

Responsibilities

  • Research and apply existing trading strategies to new financial products through data-driven modeling and analysis.
  • Perform quantitative research on trade and market data, including post-trade analysis, to refine and improve strategies.
  • Monitor trading systems in real time, identify anomalies or inefficiencies, and propose actionable improvements.
  • Communicate key market events, news, and system performance updates clearly and concisely to team members.
  • Design, develop, and backtest new models and trading strategies using advanced statistical and machine learning techniques.
  • Utilize mathematical modeling and algorithmic methods to detect trading signals, forecast market movements, and optimize execution.
  • Evaluate and challenge existing methodologies to enhance performance and contribute to continuous innovation.
  • Ensure product quotations remain stable, accurate, and timely to maintain top-tier execution quality within the industry.

Requirements

  • At least 3 years of experience in quantitative research / analysis with a focus on machine learning, algorithms, optimization, or statistics.
  • Familiarity with programming in Python, R, or similar languages
  • Can advocate for your perspectives on trading strategies and risk in a concise manner to the team
  • Familiarity with market microstructure concepts, synthetic products, and electronic trading environments
  • #J-18808-Ljbffr

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