Senior Credit Risk Analyst – Data Science | Machine Learning
My client is a very innovative Fintech, award winning, Startup in London.
Due to an intelligent and effective product, with only 4 years since day 1, their investment is systematic and growth is a constant.
Their Credit Risk team adopts Machine Learning and Data Science approaches to their line of work and, following the overall company growth, is now looking for a new team member, on a senior level
They need a strong Credit Risk analyst with experience with Data Science, with great expertise in SQL as well as strong knowledge in either R or Python that is ready to step up into a Senior Position.
As part of the Credit Risk team, the successful candidate will:
*Undertake data driven analysis using statistical tools;
*Drive insight into product and optimize strategies;
*Carry out portfolio analysis, credit policy analysis, loss monitoring and loss forecast and find innovative ways to improve these processes through the application of Data driven methodologies and Machine Learning techniques;
*Mentor junior members of the team.
This is an opportunity to extend data science applications not only to Credit Risk but also to other areas of the business – The aim is to start a new Data Science team that you could be leading in a very short period.
The successful candidate will have:
*2 to 5 years’ experience in a Credit Risk position;
*Background in a Startup setup, preferably in a Fintech company;
*Expertise in SQL;
*Proficiency in R, Python or both;
*Knowledge and ideally exposure to machine learning practices;
*Business knowledge and technical ability in portfolio analysis, loss monitoring, loss forecast and credit policy analysis;
*Experience with scorecard modelling.
You will be part of a small young team in a Startup company, therefore an innovative mindset and willingness to go the extra mile in a collaborative environment are key to be successful.
If this is the right opportunity, apply NOW to be considered.
In case you would like further information, please get in touch ASAP.
Job Reference: SCRA-AR_1518437505
Salary: £40000 - £50000 per annum
Salary per: Annum
Job Start Date: