Role overview
The
Data Scientist
will be part of a team responsible for creating ML solutions and analysis to help mitigate portfolio risk. You will perform and implement the results of analysis into our decisioning API. The ideal candidate will have 1 to 3 years of experience in the financial services sector, with hands on demonstrable experience in machine learning and working in cloud environments.
What you'll work on
- Perform advanced data and statistical analysis in support of the creation and maintenance of performance scorecards.
- Support the Credit Risk Management team in data analysis and model construction.
- 1+ years of experience with designing, building, and deploying scalable, highly available, and fault tolerant systems in a cloud environment.
- Manage, maintain, and improve our decisioning application on AWS
- Develop and integrate model strategy to support business initiatives and risk-based pricing.
- Perform data manipulation and analysis using SQL, R or Python and Microsoft Excel.
- Develop Machine Learning models in areas such as segmentation analysis, logistic regression, decision trees and other advanced algorithms.
- Incorporate observations and data into existing models to improve predictive results.
- Identify deviations from forecast/expectations and explain variances.
- Contribute to loss forecasts, demographic and credit limit utilization analysis.
- Prepare exhibits and supporting materials.
- Develop recommendations for credit policy.
- Track portfolio performance and risk strategy results.
- Identify opportunities to leverage statistical solutions to solve business problems.
- Other duties as assigned.
What we're looking for
Veros Credit, LLC is an equal opportunity employer.
*This Organization Participates in E-Verify
Tags & focus areas
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