Worth AI
Overview
Worth AI, a forward-thinking company in the computer software industry, is looking for a detail-oriented and analytical individual to join their team as a Senior Data Analyst. At Worth AI, we strive to drive impactful decision-making through insights derived from data, while upholding values of one team, extreme ownership and creating raving fans both internally and for our customers.
Responsibilities
- Mine and analyze large-scale credit, transactional, and behavioral datasets to identify trends, anomalies, and insights that inform credit risk, underwriting, fraud, and pricing strategies
- Write performant SQL queries to extract, transform, and analyze data across structured and semi-structured sources (including loan-level, customer, and bureau data)
- Design, build, and maintain interactive dashboards and reporting tools to support Finance, Risk, Credit, and Executive teams in monitoring key performance indicators
- Partner with Data, Finance, Product and Engineering teams to define and track key metrics for credit performance, loss forecasting, and portfolio health
- Support the development and ongoing evaluation of AI/ML models by providing exploratory data analysis, historical performance context, and business rule validation
- Collaborate with data engineering and data science teams to ensure pipelines are reliable, secure, and meet both operational and regulatory standards
- Automate recurring reports and analyses to improve visibility and reduce manual workflows across the credit and finance lifecycle
- Contribute to model governance efforts by ensuring documentation, auditability, and transparency of data inputs used in risk models and decision engines
- Stay informed on regulatory and compliance requirements related to data usage in financial services (e.g., Fair Lending, ECOA, GLBA) and align analytics practices accordingly
Requirements
- Bachelor's degree in Data Science, Statistics, Finance, Computer Science, or a related technical field
- 4+ years of experience in a data analytics or business intelligence role, ideally in a fintech, financial services, or credit risk environment
- Advanced SQL skills and experience working with cloud data platforms (e.g., AWS Redshift, Athena, Snowflake, BigQuery)
- Strong experience with data visualization tools like Tableau, Power BI, or Looker, and the ability to build intuitive dashboards for business stakeholders
- Solid understanding of credit risk concepts, underwriting processes, and key lending KPIs such as delinquency, charge-off rates, loss curves, and approval funnels
- Exposure to AI/ML-based decision systems, especially in underwriting, fraud detection, or credit scoring contexts
- Working knowledge of data engineering fundamentals and modern data stack tools (e.g., dbt, Airflow, ETL pipelines)
- Proficiency in Excel for detailed analysis and cross-functional reporting
- Bonus: Experience with Python or other scripting languages for data analysis and automation
- Excellent communication and problem-solving skills, with the ability to present complex data insights to technical and non-technical stakeholders alike
- High standards for data integrity, governance, and regulatory compliance in a financial environment
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance
- Unlimited Paid Time Off
- 9 paid Holidays
- Family Leave
- Work From Home
- Free Food & Snacks (Access to Industrious Co-working Membership!)
- Wellness Resources
Seniority level
- Mid-Senior level
Employment type
- Full-time
Industries
- IT Services and IT Consulting