Corporate Development & Analytics Intern

The Pension Boards Summer Internship Program is a ten-week paid internship. Our exclusive program will engage and select the brightest students from some of the best colleges in New York and beyond to experience and delve into the Pension Boards’ core areas of work including Investments, Finance, Member Services, Information Technology, Internal Audit, Health Plans, Marketing and Communications. This opportunity provides students with:

• A hands-on learning experience working on challenging projects with industry leaders
• Becoming an ambassador for our 112-year-old organization
• Offering insight and ideas that will be incorporated into our future plans
• Professional mentorship and one-on-one development interactions
• Networking and an environment conducive for building relationships with colleagues

Location – this program is a hybrid internship which is virtual and based out of our NYC Location – 475 Riverside Drive, near Columbia University and Barnard College. The Pension Boards does not offer reimbursements for relocation, housing or commuting costs.

What you’ll do:

• Assist the corporate development team in completing tasks, producing reports, and analyzing data
• Assist in development of novel analytics resources and services
• Collaborate with business partners to complete planning processes
• Work with agile team members on projects
• Work with cross functional teams to solve a business problem from ideation to launch
• Prepare materials for internal presentations, memos and projects
• Perform other related duties as requested

Qualifications

What you’ll need:

• Pursuing a Bachelor’s degree in Finance, Economics, Mathematics, other quantitative study
• Strong written and verbal communication skills
• Ability to think and work independently within a professional setting
• Strong analytical, problem-solving, and critical thinking skills
• Strong understanding of Microsoft Office Suite: Word, PowerPoint; proficient in Excel
• Proficiency in programming languages such as Python and Visual Basic, etc.
• Flexibility to work within a multi-disciplinary team and receive dynamic on-the-job training
• Highly organized; ability to manage and prioritize multiple tasks and deadlines simultaneously
• Experience in artificial intelligence theory and practice, not a requirement, but welcomed

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