Senior Data Scientist / Risk Modeling Analyst
New
Based in the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLData AnalysisVBATableauRisk ManagementData visualizationR
Requirements
- Bachelor’s degree or higher in accounting, mathematics, engineering, finance, economics, data science, or a related quantitative field.
- Proven experience applying scientific methods, algorithms, and analytical processes to extract insights from structured and unstructured datasets.
- Experience using data analysis techniques to support decision-making across different application areas.
- Demonstrated experience with automation, scripting, and developing repeatable analytical workflows.
- Strong ability to communicate analytical findings and recommendations to technical teams, leadership, and business stakeholders.
- Hands-on experience with Tableau, R programming, Python 3, and VBA.
- Strong understanding of data quality, model validation, and analytical reporting practices.
Responsibilities
- Develop, enhance, and maintain risk models that support data-driven review selection and prioritization processes.
- Maintain and improve analytical assets including data fields, scripts, formulas, macros, and automated workflows used for risk evaluation.
- Support health score calculations and weighted risk factor assessments to identify areas requiring attention.
- Aggregate, analyze, and interpret structured and unstructured data to identify high-risk partners and trends.
- Validate automated risk rankings, model outputs, and analytical results through manual reviews and quality checks.
- Design, build, and maintain dashboards that communicate findings, risk levels, rankings, remediation progress, and historical trends.
- Prepare analytical materials, reports, and insights for recurring risk management discussions and stakeholder reviews.
- Present analytical findings and recommendations clearly to management and non-technical stakeholders.
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