Quantitative Research Engineer

1 week ago


Singapore BLOCKSYS PTE. LTD. Full time
Roles & Responsibilities

Key Responsibilities:--

  • Analyze market data to identify patterns and trends.
  • Develop and implement prediction algorithms based on data analysis.
  • Conduct advanced feature engineering, synthesizing significant features to enhance our models.
  • Ensure the robustness, resilience, and low latency of our models in live environments.
  • Liaise closely with our technical team to ensure seamless model implementation.
  • Stay on the pulse of market trends, technological advancements, and best practices to keep our models ahead of the curve.

Required Qualifications and Skills:

  • Demonstrable experience in quantitative research and analysis.
  • Mastery over Python and associated data analytics and machine learning toolkits.
  • Experience with Rust programming language.
  • A profound understanding of feature engineering and its pivotal role in model development.
  • Experience with modeling techniques that incorporate a diverse array of data sources.
  • Analytical, innovative, and technically adept, coupled with excellent communication skills.
  • Master's Degree or above in Finance, Mathematics, Computer Science, or other quantitative domains.
  • Preferably with familiarity in risk management practices within the trading sphere.
Tell employers what skills you have

Excellent Communication Skills
Machine Learning
Quantitative Research
Data Analysis
Modeling
Algorithmic Trading
Mathematics
Electrical
Risk Management
Trading Strategies
Python
Statistics
Prediction
Data Analytics
Rust
C++
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