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Research/Trading Developer - Equity Investment Team

Millennium Management
Research/Trading Developer - Equity Investment Team
New York, US
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Job Description

Research/Trading Developer – Equity Investment Team

A dynamic, collaborative, investment team is looking to hire a Research/Trading Developer. The ideal candidate will have a strong understanding of financial concepts, as well as advanced knowledge of Python, and practical experience with machine learning tools. To be successful in this role, you should have a strong mathematical and statistical background, excellent problem-solving skills, and a passion for staying up-to-date with the latest technologies and techniques in the field. Any experience on maintaining and supporting Production Trading Tools would be an advantage.

Principal Responsibilities

  • Implement and develop processes and scripts to be leveraged in the investment process.
  • Ensure the reliability, scalability, and performance of Trading/Research systems.
  • Collaborate with the team to identify opportunities for process improvement, automation and innovation.

Preferred Technical Skillset

  • Bachelor, Master’s, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field
  • 2-5+ years of professional working experience in a trading/technology environment (banks, hedge funds, asset management, technology firms, etc.)
  • Advanced knowledge of Python, including experience with machine learning libraries such as pandas.
  • Familiarity with Q and KDB databases, as well as Airflow and automation frameworks.
  • Practical experience with machine learning techniques and tools, such as regression analysis, classification, clustering, and neural networks.
  • Demonstrate excellent communication, analytical and quantitative skills.
  • Strong oral and written communication.

Preferred Experience

  • Strong understanding of financial concepts.
  • Strong problem-solving skills and attention to detail
  • Experience with trading and middle office platforms, internal tech and market data warehouses is a plus.
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