The Credit Risk Strategy team is looking for a Data Scientist to lead key projects associated with credit risk assessment, data analysis, and loss mitigation. The role aims to refine risk strategies, develop predictive algorithms, and drive results that maximize eligible customers while controlling losses.
Requirements
- Proficiency in SQL, Python, Excel including key data science libraries.
- Experience working with large datasets.
- Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau.
- Desirable to have experience or aptitude solving problems related to risk using data science and analytics.
- Experience with AWS, payment rule systems, and knowledge of credit products.
Responsibilities
- Design rules to detect/mitigate loss
- Investigate novel/large cases
- Identify root cause
- Set strategy for different risk types
- Work with product/engineering to improvement control capabilities
- Develop and present strategies and guide execution
- Drive results that maximize eligible customers while controlling losses
Other
- Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry.
- Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.
- Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes.
- Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.
- No Visa Sponsorship, No Corp-Corp Contract
