Credit Risk Strategy Data Scientist
B
BILLFintech credit risk
Location: United StatesFull-TimeMiddle
Salary95,800 - 114,800 USD per year
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Job Details
- Experience
- Minimum of 3+ years of experience in fraud or credit risk strategy within the fintech, e-commerce, or online payments industry.
- Required Skills
- PythonSQLTableauData science
Requirements
- Have at least 3 years of experience in fraud or credit risk strategy.
- Bring experience from the fintech, e-commerce, or online payments industry.
- Be proficient in SQL and Python.
- Be able to work with large, complex datasets and use data science libraries.
- Use statistics and data science to solve complex, ambiguous problems and support data-driven decisions.
- Have direct experience developing and deploying data-driven, automated monitoring rules.
- Be able to identify and recommend enhancements to existing processes.
- Communicate complex results clearly to technical experts and business leaders.
- Experience in experimental design and data/control governance is a plus.
- Experience with customer management or collections strategies for credit products such as revolving credit cards or merchant cash advances is a plus.
Responsibilities
- Develop, maintain, and refine risk strategy frameworks and complex rules.
- Use advanced analytics and data science techniques to solve business problems.
- Build SQL and Python scripts, interpret results, and use findings to influence decisions.
- Partner with product, engineering, and operations to identify opportunities and establish business requirements.
- Guide the execution of strategies across the customer lifecycle.
- Develop performance dashboards and monitoring tools using platforms such as Tableau.
- Identify process optimization opportunities and detect and respond to evolving risk trends.
- Mentor and support junior team members.
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