Related skills
looker snowflake sql python dbtπ Description
- Deep dive into trends to identify risky behavior and losses
- Develop segmentation to enable proportionate monitoring
- Identify rule criteria, test outputs, and report on performance
- Create dashboards and alerts for anomalies
- Identify new data sources and collaborate with teams
- Build relationships with customer teams to inform risk strategy
π― Requirements
- 2+ years in financial services risk, fraud, or compliance (issuer/processor a plus)
- Strong analytical thinking; work with large datasets
- Expert SQL (Snowflake preferred); dbt and Python a plus
- Experience building reusable analyses; analytics engineering basics
- Experience creating dashboards with Metabase or Looker
- Excellent communication and collaboration across stakeholders
π Benefits
- Health, vision, and dental insurance; HSA match
- Unlimited PTO
- 401(k) match
- Life Insurance and AD&D
- 3% cashback on Privacy purchases
- 12 weeks fully paid parental leave
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