Fraud Strategy Data Scientist — SQL & Python

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

Benefits offered by this job

Medical, dental and vision plans for员工

401(k) match

Health and wellness programs

Flexible time off policies for salarid

Up to 16 weeks paid parental leave

Long-term awards (equity)

Annual bonus

Relocation (based on actual job level)

Job summary

Happen Bank is seeking a Fraud and Data Science specialist to transform large datasets into actionable fraud strategy insights. You will analyze SQL/Python data, develop detection models and rules, and monitor performance metrics.

The role emphasizes cross-functional collaboration, data visualization with Tableau, and a rigorous approach to protecting sensitive information. Hybrid work in San Francisco supports in-office collaboration.

Qualifications

• 2+ years of experience in data science, fraud analytics, decision science, or a related analytical function.
• Hands-on SQL and statistical programming experience (such as Python) working with large datasets and producing reproducible analysis.
• Working knowledge of statistical analysis, data visualization, and measuring model or strategy performance.
• Ability to translate analytical findings into clear recommendations for both technical and business stakeholders.
• Practical familiarity with AI tools, with the judgment to apply them to real-world analytical problems.

Responsibilities

• Analyze large, complex datasets using SQL and Python to surface fraud patterns, emerging risks, and decision-making opportunities.
• Help develop and implement fraud detection approaches, including rules and models, aligned to data analysis and business needs.
• Monitor fraud trends, loss metrics, strategy performance, and key indicators; investigate anomalies and convert results into actionable recommendations.
• Create and maintain dependable queries, dashboards, and reporting following established data and business intelligence standards.
• Assess new internal and external data sources, features, and analytical techniques for predictive value, data quality, and practical use.
• Produce repeatable monitoring processes for model and strategy performance, data accuracy, and changes in population behavior.
• Partner with cross-functional teams to map business questions to analytical methods, supporting solutions from analysis through implementation.
• Use AI-assisted tools when appropriate to accelerate exploration, coding, and documentation while validating outputs and protecting sensitive data.

Skills

SQL

Python

Tableau

Education

Bachelor’s degree

Tools

Tableau

Job description

Happen Bank is seeking a Fraud and Data Science specialist to transform large datasets into actionable fraud strategy insights. You will analyze SQL/Python data, develop detection models and rules, and monitor performance metrics.

The role emphasizes cross-functional collaboration, data visualization with Tableau, and a rigorous approach to protecting sensitive information. Hybrid work in San Francisco supports in-office collaboration.