Fraud Analytics Associate Data Scientist

Happen Bank; San Francisco (CA); Hybrid; USD 125,000 - 145,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) match

Parental leave

Flexible time off

Wellness programs

Job summary

Happen Bank in San Francisco is seeking an Associate Data Scientist to turn complex data into actionable insights, develop analytic solutions to strengthen fraud strategies, and partner with Fraud, Risk, Product, Technology, and Operations.

Responsibilities include analyzing large datasets with SQL and Python, building dashboards, monitoring trends, evaluating new data sources, and collaborating across teams while using AI-assisted tools where appropriate.

Qualifications

• 2+ years in data science, fraud analytics, decision science, or related analytical role.
• Hands-on experience with SQL and Python on large datasets.

Responsibilities

• Analyze large, complex datasets to identify fraud patterns and opportunities to improve decision-making.
• Develop and implement fraud detection strategies, rules, and models based on data analysis and business requirements.
• Monitor trends, loss metrics, strategy performance, and indicators; translate findings into actionable insights.
• Build and maintain queries, dashboards, and reporting using BI standards.
• Evaluate new data sources and features for predictive value and data quality.
• Develop repeatable processes to monitor model performance and data accuracy.

Skills

SQL

Python

Fraud analytics

Data visualization

Statistical analysis

Model performance

Education

Bachelor's degree or higher

Tools

Tableau

Job description

Happen Bank in San Francisco is seeking an Associate Data Scientist to turn complex data into actionable insights, develop analytic solutions to strengthen fraud strategies, and partner with Fraud, Risk, Product, Technology, and Operations.

Responsibilities include analyzing large datasets with SQL and Python, building dashboards, monitoring trends, evaluating new data sources, and collaborating across teams while using AI-assisted tools where appropriate.