Please note that we have filled our current intern positions.
Our applications for Summer 2020 will re-open Autumn 2019. Please continue to visit our page for updates.
Job Title: Credit Risk Intern
Dates: Monday 17 June - Friday 23 August 2019
Overview of the Role: Paid 10-week summer internship based in our London office.
4most will provide you with an insight into Credit Risk as a potential career option by building up your knowledge of the sector and equipping you with basic coding skills alongside a project.
The 10-week internship programme is split into 2 parts:
Part 1: This will cover industry background information, regulations and interactive coding workshops and independent practice assignments.
Part 2: This will be a practical project either working individually or as part of a team, where you will be expected to undertake analysis and draw conclusions from your results. You will present your results to directors / senior managers at the end of the project.
You will be assigned a ‘buddy’ (usually a recent graduate) for the full duration of the internship programme. They will be able to support and answer any questions about your tasks/assignments and working at 4most in general.
Theory: Includes Introduction to Credit Risk, IFRS 9, Capital and Impairment, Signature Curves, Economics Overview, Machine Learning, Model Validation, Regulations and Insurance.
Technical workshops: Interactive workshops covering SAS (WPS), R and Python. Learning basic data steps/manipulation, data investigations and analysis, understand and write macros, building a regression model and a scorecard build.
Assignments: You will be given short assignments to complete, which mirror the WPS seminars and technical content covered.
Project: The final segment of the internship will allow you to put all skills and knowledge learnt towards a project which involves research, analysis, problem solving and presenting a final solution with reasons to support.
We do not expect you to have finance or credit risk knowledge, but you should be curious to learn about credit risk:
Student in their penultimate year, studying towards a relevant numerical Bachelor’s/Master’s degree with statistical content (e.g. Mathematics, Economics, Physics etc)
Good analytical skills and a desire to work with data
Structured and methodical
Open to challenge
Inquisitive, enthusiastic and honest
The application process will consist of:
A short application form
CV and cover letter submission
Telephone interview (30 minutes)
Face to face interview at our London office