Carlyle Group

Investment Data Scientist

Carlyle Group$190K — $220K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree required; preferred in Computer Science, Math, Physics, or another STEM field.
  • At least 8 years of relevant technical experience in Data Science required.
  • Prior experience in hedge funds preferred.
  • Background in financial services or private equity preferred.
  • Exceptional problem-solving abilities and strong communication skills.

Responsibilities

  • Analyze complex datasets to assess investment risks and opportunities.
  • Collaborate with portfolio company executives to lead data-driven growth initiatives.
  • Develop and implement innovative data-centric strategies and tools.
  • Support live due diligence with comprehensive data analysis under tight deadlines.
  • Create data products to enhance the investment process and support deal teams.
  • Oversee value creation projects from strategy formulation to execution.
  • Perform feature engineering and advanced analytics.

Benefits

  • Comprehensive retirement benefits and health insurance.
  • Life insurance and disability coverage.
  • Generous paid time off and holidays.
  • Family planning benefits and various wellness programs.
  • Potential participation in an annual discretionary incentive program.
Full Job Description
Position Summary

Join our dynamic Investment Data Science Team as a Data Scientist and immerse yourself in the heart of the investment process. This unique role fuses technical data science expertise with sharp commercial insight, placing you at the crossroads of investment decision-making and value creation. Collaborate closely with our investment teams and company leaders, leveraging your skills to make a tangible impact in due diligence and growth strategies.

Responsibilities
  • Dive deep into data analytics for thorough investment due diligence, balancing swift execution with meticulous analysis to assess potential risks and opportunities.
  • Partner strategically with portfolio company executives, driving data-led initiatives for growth and efficiency from concept to completion.
  • Lead in developing and implementing data-centric strategies and tools, enhancing our investment processes and supporting our deal teams.
  • Provide critical support in live due diligence, translating complex data into comprehensive analysis under tight deadlines.
  • Develop insightful tools and data products to refine our investment process.
  • Oversee value creation projects in portfolio companies, from strategy to execution.
  • Engage in sophisticated data analysis, including feature engineering and analytics.
  • Cleanse, integrate, and interrogate diverse datasets to unearth unique insights.
  • Conduct rigorous hypothesis testing, statistical analysis, and modeling.


What you'll do:
  • Navigate and analyze complex datasets, extracting key insights to guide investment strategies.
  • Collaborate with internal teams and external executives on data-driven growth initiatives.
  • Manage third-party resources, integrating external expertise into our internal framework.
  • Spearhead the creation of innovative data tools and products to scale our deal support capabilities.


Requirements:

Education & Certificates
  • A bachelor's degree, required
  • Concentration in Computer Science, Math, Physics or other engineering/STEM related field, preferred


Professional Experience
  • At least 8 years of overall relevant technical experience in Data Science, required
  • Previous experience with hedge funds, preferred
  • Experience in the financial services or private equity industry, preferred


Competencies & Attributes
  • Exceptional problem-solving abilities.
  • Aptitude for translating data into actionable business strategies.
  • Strong verbal and written communication skills, with a flair for public presentation and storytelling.
  • Solid understanding of investment, financial valuation, and commercial growth principles.
  • Advanced Python and SQL skills for complex data analysis.
  • Proficient in machine learning techniques and handling large datasets.
  • Skilled in data visualization and statistical modeling.
  • Familiarity with AWS cloud computing and Git version control systems.


Benefits/Compensation

The compensation range for this role is specific to New York and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.

The anticipated base salary range for this role is $190,000 to $220,000.

In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.

Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle.

About Carlyle Group

The Carlyle Group is a global investment firm that specializes in private equity, credit, and real estate investments. The firm was founded in 1987 and is headquartered in Washington, D.C. Carlyle manages more than $230 billion in assets across 389 investment vehicles as of December 31, 2020. The firm's private equity investments span a wide range of industries, including aerospace and defense, consumer and retail, energy and power, healthcare, and technology, media and telecommunications. Carlyle has offices in 22 countries and employs more than 1,800 people worldwide.
Learn more about Carlyle Group
Size
1,850 employees
Market Cap
$10.6 billion
Industry
Net Income
$348.2 million
Founded
1987
5 Year Trend
+31%
Revenue
$2.9 billion
NASDAQ

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