PatientFi · 2 days ago
Data Scientist
United States
Full-time
Remote
Entry Level
1+ years expPatientFi is a technology-based, point-of-sale financing company that partners with healthcare providers to offer patients payment solutions for medical procedures. The Data Scientist will develop machine learning models to manage credit and fraud risks, working with complex data sources to optimize underwriting decisions and enhance risk management strategies.
FinanceFinancial ServicesFinTechHealth Care
Responsibilities
Develop and implement machine learning models for credit risk assessment and fraud detection, ensuring compliance with lending best practices and regulatory requirements
Build and improve quantitative and qualitative models (including CECL, Prepayment, Weighted Average Remaining Maturity (WARM), Probability of Default and Loss Given Default (PD/LGD) methodologies)
Leverage advanced data analytics to dynamically segment applicants and loans based on behavior and performance
Optimize risk-based pricing strategies, underwriting criteria, and collections strategies using data-driven insights
Collaborate with engineers to deploy machine learning models into production environments
Monitor, analyze, and report on model performance, ensuring continual refinement and adaptation to changing market conditions
Develop LookML and SQL queries to build dashboards in Looker for tracking model and business performance
Extract the most value from data to drive key business metrics and enhance risk management strategies
Conduct ad-hoc analysis to support risk management, investor services, operations, and corporate development
Support analysis and reporting in stress testing models
Qualification
Required
1+ years of experience in Data Science, Credit Risk, Fraud Risk, Quantitative Analytics, or related fields
Expertise in Python and SQL, with a strong understanding of coding best practices and model documentation
Understanding of data warehousing concepts, data engineering, and data modeling
Strong experience in risk modeling, fraud detection, and machine learning techniques applied to financial services
Strong communication and interpersonal skills, with the ability to clearly translate technical insights to business stakeholders
Self-motivated, results-oriented, and capable of managing multiple projects in a fast-paced environment
Familiarity with bureau data and alternative data sources for credit and fraud risk analysis
Preferred
Advanced degree (M.S./PhD preferred) in Statistics, Computer Science, Engineering, Economics, or a related quantitative field
1+ years of relevant experience within consumer credit risk management, ideally at a FinTech startup, banking or lending company; bonus points for healthcare experience
Experience implementing data pipelines using Google Cloud products (BigQuery, GCS, Cloud DataFlow, Cloud Pub/Sub, Cloud BigTable)
Experience working with Looker (or similar BI tools like Tableau, Power BI) to design reports/dashboards
Knowledge of cash flow modeling and loss forecasting is a plus
Company
PatientFi
PatientFi is a financial services company that helps patients to access current health, beauty, and wellness treatments.
51-200 employees
H1B Sponsorship
PatientFi has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2023 (2)
Funding
Current Stage
Growth StageTotal Funding
$63MKey Investors
Questa Capital ManagementPatriot Financial Partners
2024-02-13Series B· $25M
2021-12-22Private Equity· $32.13M
2021-02-19Convertible Note· $3.87M
Leadership Team
Derrick Hoag
Co-Founder & Chief Product Officer
Alicia Kristjanson
Manager Strategic Partnerships
Recent News
Company data provided by crunchbase