Data Scientist - Risk Platform
Data Scientist - Risk Platform
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Job Description
Were looking for fresh graduates with experience in manipulating datasets and building statistical models for credit risk by leveraging machine learning techniques. You will partner with business product and engineering team to explore determine analyze propose and solve some of the most challenging business problems in lending and reduce risk. You will perform deepdive exploration and analysis to find improvements in our existing framework. You will be submerged in a fastpaced environment working tightly in a strong team of data scientists and experience firsthand our robust data infrastructure.
Responsibilities
- Perform features selection parameter binning and optimize custom predictive machine learning models for credit risk scoring
- Query process cleanse and verify the integrity of data used for analysis
- Analyze key metrics to determine risk and explore areas for improvements
- Create reports and dashboards to monitor model impact and performance
- Help build the variety of data ingredients needed to do modelling effectively
- Maintain the credit risk model platform which is utilized by the team
- Provide advice and guidance on potential efficiency gains and new stateoftheart credit risk modelling methodologies
Qualifications :
- Bachelor degree in an analytical or quantitative discipline (e.g. math statistics engineering computer science) however other disciplines will be considered
- Experienced in using statistical computer languages such as R Python SAS SQL or advanced MS Excel skills is a plus.
- Have good communication skills and able to work together in a team
- Excellent problemsolving skills and have the drive to learn and master new technologies and techniques
- Willingness to learn new skills independently and have a strong sense of project ownership
- Not afraid to get your hands dirty to explore data and build statistical models
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
