Investment Data Scientist | Financial Modeling & Portfolio Analytics

Chartwell Investment Partners

Remote
**
Python for data analysis
Portfolio construction algorithms
Statistical modeling
** Chartwell Investment Partners is seeking an Investment Data Scientist to contribute to their AMS Research team by developing and optimizing quantitative models that support investment decision-making. The role requires a strong proficiency in Python, statistical modeling, and data visualization, along with the ability to collaborate with various stakeholders in a remote work environment. **

Job Summary

  • Plays a key role in developing, improving, and evaluating quantitative models that directly support investment decision-making and portfolio management.
  • Collaborates closely with Investment Committee members, analysts, and other stakeholders to improve the investment process through portfolio optimization, statistical modeling, and process automation.
  • Develops interactive dashboards and visualizations that translate complex analytical outputs into actionable insights.

Matching Summary

Match Score: 75

** Chartwell Investment Partners is seeking an Investment Data Scientist to contribute to their AMS Research team by developing and optimizing quantitative models that support investment decision-making. The role requires a strong proficiency in Python, statistical modeling, and data visualization, along with the ability to collaborate with various stakeholders in a remote work environment. **

Skills & Requirements

Must-have

  • Python for data analysis
  • Portfolio construction algorithms
  • Statistical modeling
  • Data visualization tools
  • Quantitative finance knowledge

Nice-to-have

  • Financial markets expertise
  • Performance measurement methodologies
  • Django framework experience
  • Advanced investment concepts

Key Requirements

  • 3-6 years of Python development experience
  • Bachelor's degree in quantitative field
  • Experience building optimization models
  • Experience building statistical systems
  • Experience building automated workflows

Work Rights

Not specified

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