Credit Strategy Data Scientist
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Job Location:
Hourly Salary:
Experience Required:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
This is a remote position.
Credit Strategy Data Scientist
Remote (U.S.-Based) One Year Contract $50/hr (based on experience)
Join a dynamic credit risk strategy team at the intersection of finance and data science. The Credit Strategy Data Scientist will design test and deploy data-driven solutions to mitigate loss enhance credit risk performance and drive sustainable growth across a fast-paced FinTech environment.
Position Overview
Were seeking an analytical and motivated Credit Strategy Data Scientist to lead key projects in credit risk assessment loss mitigation and predictive modeling. This role involves designing detection rules analyzing large datasets and presenting actionable insights to cross-functional partners. Youll work closely with product engineering and risk leaders to improve credit decisioning and customer outcomes.
Key Responsibilities
Develop and refine risk models and decision rules to identify and mitigate potential losses
Investigate novel and complex risk cases identifying root causes and emerging trends
Design dashboards and visualizations to track key credit KPIs
Partner with product and engineering teams to improve risk controls and automation
Present strategic recommendations to leadership and stakeholders
Drive measurable results that balance loss prevention with customer eligibility
Requirements
Required Qualifications
Bachelors degree in Computer Science Engineering Mathematics Statistics Data Mining or related field
2 years of experience in risk analytics data science or data analysis within FinTech or payments
Proficiency in Python SQL and Excel (including major data science libraries)
Experience working with large and complex datasets
Strong communication skills with the ability to translate data insights into business impact
Experience building dashboards and visualizations (e.g. Tableau)
Preferred Experience
Exposure to AWS payment rule systems and credit products
Background in risk modeling data storytelling or rule development
Experience in cross-functional collaboration between product engineering and data teams
Required Skills:
2 years of experience in risk analytics data science or data analysis within FinTech or payments Proficiency in Python SQL and Excel (including major data science libraries) Experience working with large and complex datasets Strong communication skills with the ability to translate data insights into business impact Experience building dashboards and visualizations (e.g. Tableau)
Required Education:
Bachelors degree in Computer Science Engineering Mathematics Statistics Data Mining or related field
Company Industry
Internet Service Providers / Retail Appliances / Electrical and Electronic Equipment
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
