Investment Data Scientist

The Ladders
United States
19 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$190,000.0 - $220,000.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Statistical Hypothesis Testing Feature Engineering Information Technology Data Analytics

Job description

  • Dive deep into data analytics for investment due diligence, analyzing risks and opportunities thoroughly.
  • Partner strategically with portfolio company executives to drive data-led growth initiatives.
  • Lead the development and implementation of data-centric strategies and tools for investment processes.
  • Support live due diligence by translating complex data into clear analysis under tight deadlines.
  • Develop insightful tools and data products to enhance the investment process.
  • Oversee value creation projects in portfolio companies, managing from strategy to execution.
  • Engage in sophisticated data analysis, including feature engineering and hypothesis testing.

Requirements

  • Bachelor’s degree required; preferred concentration in Computer Science, Math, Physics, or other STEM fields.
  • At least 8 years of relevant technical experience in Data Science.
  • Previous experience with hedge funds is preferred.
  • Experience in financial services or private equity industries is preferred.
  • Strong verbal and written communication skills for effective presentation and storytelling.

Benefits & conditions

  • Comprehensive benefits package including retirement benefits, health insurance, life insurance, and disability.
  • Paid time off and paid holidays.
  • Family planning benefits and wellness programs.
  • Eligibility for annual discretionary incentive program based on individual and organizational performance.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.

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