Quantitative Researcher

4 days ago

Singapore beBeeMachineLearning Full time $100,000 - $300,000

Quantitative Researcher - Machine Learning Expert

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This is a challenging and rewarding opportunity to join our Data Science Team as a Quantitative Researcher specializing in machine learning.

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The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. This includes working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and monitoring models in production.

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You will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm.

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Key Responsibilities:

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  • Design and implement robust and scalable CI/CD data pipelines;">
  • Translate machine learning algorithms into code;">
  • Support current strategies and help develop new strategies utilizing our proprietary software;">
  • Stay up-to-date on cutting-edge machine learning techniques;">
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Requirements:

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We are seeking highly skilled professionals with a strong background in probability, statistics, and machine learning for time-series data. A Bachelor's degree in mathematics, physics, computer science, or a related quantitative field is required. Experience with software engineering best practices including TDD and CI/CD, distributed computing, and high-performance computing (HPC) environments such as SLURM is an advantage.

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Benefits:

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We offer a competitive base salary range of $100,000 - $300,000 USD and 100% employer-paid medical coverage. Additionally, we provide health savings benefits and flexible work arrangements that enable you to balance your professional and personal life.

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About Us:

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Our company emphasizes teamwork, continuous integration, and test-driven development. We welcome exceptional talent and encourage applicants to apply if they have relevant skills and experience.

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