Credit Strategy Data Scientist

3 weeks ago

San Jose, United States Cypress HCM Full time
Job DescriptionJob Description
Data ScientistThis is an exciting opportunity to join a growing global company in the cloud-based software industry. This is a hybrid position. 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.
Responsibilities:
  • Work closely with team members and stakeholders to consult, design, develop, and manage credit trends and losses that not only solve emerging loss trends but also provide a great experience to end customers
  • Utilize data analysis to design and implement credit strategies
  • Analyze and transform data using RaaS platforms to identify loss patterns and optimize the systems to flag these patterns
  • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit solutions that operate at scale and in real time for end customers
  • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders
  • Development of dashboard and visualizations to track KPI of credit strategies implemented
Requirements:
  • 2+ years of experience in risk analytics, data analysis, and data science within relevant industry experience in Fintech or online payments industry.
  • Bachelors 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
  • Proficiency in data visualization including Tableau
  • Experience working with large datasets
  • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau.
  • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes
  • Bonus: Experience with AWS, payment rule systems, and knowledge of credit products.
Pay Rate:
  • $50-$70/hour

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