- Enrolled in Bachelor or Master degree in economics, econometrics, data science, financial engineering, business administration in the United Kingdom or related fields which have a strong statistics emphasis
- Prior experience in performing statistical analysis (work or academic) on large data sets using statistical tools such as Stata , or the programming languages R and Python
- Strong Excel modelling skills
- Enjoy collaborating with others to reach common goals
- Comfortable to work in an international and multi-cultural workplace
- Have an interest in impact finance and/or sustainable development
- Able to work comfortably in English.
- UK Citizen or valid UK student Permit required.
- The chance to contribute to improving the lives of people in emerging and frontier countries, to work towards supporting the UN Sustainable Development Goals
- A flexible work environment with colleagues from 41 countries
- The opportunity to become part of a growing business that pushes you to excel every day while having a positive impact on others
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Intern – Market and Credit Risk - London, United Kingdom - Symbiotics
Description
About the Job
* The main purpose of this intern role is to conduct a statistical analysis of loan and financial institution (FI) data from the Symbiotics Investments database, to explore and determine statistical relationships between variables from the database and defaults in the Symbiotics Investments portfolio. The role will involve working as part of a team in charge of updating the Credit Risk Rating scoring tool.The role will require the following:
• Compile relevant indicators of loan and FIs from the historical and current investment universe of Symbiotics Investments (historical and current portfolio of loans and bonds to emerging market FIs)
• Explore predictive power of compiled variables on historical defaults, using different statistical methods and software such as Stata, or the programming languages R and Python
• Propose various predictive models and rank them on their relevance given scope of project
• Deliver report highlighting key findings regarding relations between FI metrics and observed defaults
• Provide recommendations on how to best integrate the findings of the statistical analysis into an upgrade of the Credit Risk Rating scoring tool.
Your Qualification
* We are looking for a dynamic person who can work independently and collaboratively as part of a team, able to process and analyse data in context, and able to advise on findings. More specifically, you have the following skills and competencies:Job Offer
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