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Data Scientist - Alternative Data Analyst

Data Scientist - Alternative Data Analyst

Analytic Recruiting Inc.Denver, CO
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Job Description :

A leading investment management firm is looking for a  Data Scientist  to join the Credit Investment Team. The Candidate will play a pivotal role in identifying, analyzing, and utilizing large alternative, non-traditional datasets (ie : geospatial, weather, shipping, USDA) to name a few, to drive investment decision-making. This role is highly collaborative, working closely with credit analysts, portfolio managers, and traders to deliver innovative, data-driven insights that enhance the firm’s investment approach.

Key Responsibilities :

  • Collaborate with the credit team to support their analytical needs and provide actionable data-driven insights.
  • Drive platform advancements and innovation to improve the investment process.
  • Leverage large datasets, including public, paid, and web-scraped data sources, to support the credit team’s research.
  • Automate repetitive tasks to improve efficiency and streamline workflows.
  • Provide comprehensive data insights across all sectors and deliver findings to internal and external stakeholders.
  • Apply statistical and machine learning techniques for data analysis, backtesting, and uncovering correlations.
  • Utilize APIs to extract, integrate, and manipulate data efficiently.
  • Present complex data findings effectively to internal teams, clients, and potential clients.

Required Skills & Qualifications :

  • Technical Proficiency : Expertise in R, Python, SQL, and Snowflake.
  • Data Expertise : Strong experience with large datasets, data manipulation, web scraping, artificial intelligence, natural language processing, and automation.
  • Analytical Ability : Proven ability to apply statistical and machine learning techniques to solve complex problems.
  • Communication Skills : Excellent ability to present findings clearly to technical and non-technical audiences.
  • Financial Understanding : Awareness of the financial implications of data analysis, beyond just technical execution.
  • Education : A background in Data / Computer Science, Finance, or Accounting

    • Preferred Qualifications :

  • Solid understanding of finance, accounting, credit, and derivatives, including financial statements, credit risk assessment, and using derivatives for hedging and investment purposes.
  • Proven experience tailoring complex data presentations for various audiences, including clients and potential clients.
  • 3–5 years of professional experience in data science or a related role, preferably in a financial or investment context.

    • Job Advantages :

  • A collaborative and dynamic work environment.
  • Opportunities to innovate and make a significant impact on investment decisions.
  • Competitive compensation and benefits package.
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