Mathematics, Finance and Economics Internships

Closed
City, University of London
London, England, United Kingdom
EP
Work-based Learning Advisor
3
General
  • Undergraduate; 2nd year
  • 37 hours per learner
  • Dates set by projects
  • Learners apply to projects
Preferred companies
  • 30 projects wanted
  • Anywhere
  • Academic experience
  • Startup, Large enterprise, Small to medium enterprise
  • Any
Categories
General Data analysis Financial modeling Financial services Investment Risk, audit and compliance
Overview
Details

Looking to elevate your organisation, and bring it to the next level? Bring on students from City, University of London to be your virtual summer interns, in a project-based experience. Students studying BSc Mathematics or BSc Mathematics and Finance, will work on one or more projects of your choosing over the summer vacation period (June - Sept) connecting with you as needed with virtual communication tools.

Internships can be up to 3 months in length starting from June. Students are seeking projects that they can work on to help develop their industry knowledge and to further enhance their skill-set and future employability.

Learner skills
Problem solving, Fundraising, Data analysis and decision-making, Communication, Financial analysis
Deliverables

Deliverables will vary depending on the scope of the internship. However, these deliverables must be discussed and agreed upon prior to the start of the internship.

Project Examples

Students can complete a substantial project for your organization over the placement period. We suggest providing a starting project, but as the placement goes on there may be other duties or projects the student is asked to complete as well. Providing a central project creates structure for the internship, and gives the student (and company) a tangible goal.

Project activities that students can complete may include, but are not limited to:

"Enable students to use and apply mathematical techniques which are necessary for the analysis of investments."

"Enable students to apply relevant concepts from probability and statistics to investment analysis."

" Using Python to solve problems in the mathematical handling of data visualization and analysis."

"Using mathematical solution techniques and practical application management in the context of decision-making within a range of fields including: finance, resource allocation and health service planning problems."

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

Are you willing to offer an hourly wage or other financial incentives to the student? If you are able to do so then the the allocated hours could increase.