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Credit Strategy Data Scientist

4 months ago

Draper, United States SlingShot Connections Full time
Job DescriptionJob Description

Hybrid

We are looking for a talented, enthusiastic and dedicated person to join the Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms preferably in the credit risk domain.

 

Essential Duties and 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

Minimum Qualifications and Experience:

  • Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry.

  • Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.

  • Experience using statistics and data science to solve complex business problems.

  • 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.

  • 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.

  • Desirable to have experience or aptitude solving problems related to risk using data science and analytics.

  • Bonus: Experience with AWS, payment rule systems, and knowledge of credit products.

Preferred Skills:

  • Data analytics

  • Rule development

  • Dashboard Creation

  • Project Management

  • Strong Communication