Quantitative Modeling Specialist

2 weeks ago

Singapore beBeeDataScientist Full time

Job Title: Data Analyst and Model Developer

Job Summary: We are seeking a skilled Data Analyst and Model Developer to join our team. As a Data Analyst and Model Developer, you will be responsible for performing data analysis and developing mathematical models in the areas of trading and sales, execution, algorithmic trading, and artificial intelligence.

Key Responsibilities:

  • Ensure data quality by mining, cleansing, analyzing, and structuring data to build models and use cases.
  • Understand and code Machine Learning models relevant for use-case development.
  • Perform quantitative research and develop mathematical models in the areas of trading and sales, execution, algorithmic trading, and artificial intelligence.
  • Write structured code, document results, and present findings to product owners and stakeholders.
  • Automate the evaluation of AI model quality metrics.
  • Prototype new capabilities using new AI models.
  • Use Python/PySpark to interact with and evaluate AI models.
  • Design and execute experiments on new AI features and models.
  • Develop models of usage, user behavior, and business behavior to make recommendations and influence the product roadmap.

Professional and Technical Requirements:

  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years of data-science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results) OR
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years of data-science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results) OR
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) of data-science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results)

Skills and Qualifications:

  • Proficient in machine learning algorithms and programming languages such as Python.
  • Experience with big data tools and technologies.
  • Strong understanding of statistics and mathematics.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Excellent communication and presentation skills.
  • Passion for data-driven decision-making.

Benefits:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.

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