Summary
Date Posted: Thursday, May 28, 2020 , Base Salary: Not Disclosed

JOB DETAILS:
CrossBoundary is a mission driven investment firm committed to unlocking the power of capital to make a strong return while creating a lasting difference in frontier markets.
Job Summary
CrossBoundary is recruiting a full-time Data Associate. We are seeking candidates with experience working in data consultancy, with a background in the investment sector preferred. CrossBoundary is not a development firm and is not seeking typical development skills. CrossBoundary Data Analytics combines domain expertise with advanced analytical methods and techniques to facilitate investment in frontier markets. As a Data Associate, you will be tasked with using data science to inform CrossBoundary’s work providing transaction support to both investors and capital seekers. Associate candidates should have 3+ years of experience working in high caliber data consulting organizations and ideally experience working in developing countries. .

Responsibilities
• Use data science approaches to advance CrossBoundary’s mission of facilitating investment in frontier markets, working with large, complex data sets to support Advisory projects as well as other CrossBoundary teams internally
• Develop creative new methods to use data for business and investment decision-making and strategy
• Contribute data science solutions to proposals for new work, both in collaboration with Advisory teams and for stand-alone data science consultancy opportunities

Preferred skills and qualifications:
• Experience working in developing countries; experience in Africa is particularly relevant
• MSc, MBA, or other advanced degrees will be regarded favorably

Qualifications
The Ideal candidate will have the following skills and qualifications:
• 3+ years of experience in top tier data consulting, or similar
• Programming experience in at least one of R, Python, SQL
• Experience in geospatial analysis, using ArcGIS or similar
• Experience applying data science methods to business problems, making use of predictive analytics, machine learning, and other areas of analysis
• Experience in applying advanced analytical and statistical methods in the commercial work
• Excellent analytical ability and discipline; ability to think clearly, structure problems logically, and then design and implement solutions that focus on the core issues
• Excellent presentation and communication skills; ability to communicate clearly and effectively with diverse audiences unfamiliar with data science
• Strong project management skills
• Bachelor's degree required

Job Education Requirements: Not Specified

Job Education Experience: Not Specified

Work Hours: 8

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