Chief Analytics Officer

6 days ago


New York, New York, United States J Harlan Group, LLC Full time

**About Us:**

J Harlan Group, LLC is a New York-based, private debt investment manager managing $6.4 billion of assets under management inclusive of Special Situations, Sponsored, and Growth direct lending opportunities. We seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of financial markets.

As a Senior Data Science Leader, you will be responsible for leading our data science efforts and collaborating with our investment professionals to develop innovative solutions. The ideal candidate will have a strong background in data science, machine learning, and statistics, with experience in working with large structured and unstructured data sets.

We offer a competitive salary of $250,000 per year, as well as a range of benefits including health insurance, retirement savings, and paid time off.

Responsibilities:

  • Lead data science efforts and develop innovative solutions
  • Collaborate with investment professionals to design and build data science tools and infrastructure
  • Analyze complex data sources and develop predictive and analytical models
  • Advise on smarter data utilization and drive developments in advancing big-data and analytic services
  • Develop attribution, segment, and predictive models to support business, investment, and portfolio company strategies
  • Seek data from, gains opinions on industry trends, issues, and solutions

Requirements:

  • 8+ years of relevant background as a Data Scientist, Quantitative Researcher or Financial Engineer within the Investment Community
  • Extensive experience in a data-driven professional setting, preferably from a private credit, private equity, investment management or investment banking organization
  • Strong academic record and a BA/BS or Master's degree with high mathematical and computing content (e.g., Computer Science, Statistics, Mathematics, Engineering or Physics)
  • Fluency in the languages of data manipulation (e.g., SQL) and statistical analysis (e.g., R or Python/NumPy), with ability to code (e.g., PHP) a plus
  • Experience in working with large structured and unstructured data sets, with comfort in combining disparate and diverse structured and unstructured data sources


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