Full-Time Risk Data Analyst
Branch is hiring a remote Full-Time Risk Data Analyst. The career level for this job opening is Experienced and is accepting USA based applicants remotely. Read complete job description before applying.
Branch
Job Title
Posted
Career Level
Career Level
Locations Accepted
Share
Job Details
We are looking for a motivated, well organized Risk Data Analyst II to help manage risk at Branch. You will love this role if you enjoy pulling and analyzing data in order to tell a story and developing real-time rules/detection strategies to minimize losses. You thrive in a start-up environment, are curious, have strong analytical/technical skills, and a knowledge of payments and the fraud trends that put our customers at risk.
Responsibilities include, but are not limited to:
- Identify potential points of opportunity in Branch’s risk management program through the analysis of fraud events, customer behavior, operational pain points and loss trends
- Translate analysis into recommendations for business logic to minimize losses and improve customer experience
- Create risk analytics workflow, including defining success and performance metrics, and monitor progress through the creation of actionable dashboards and reports
- Partner closely with Product and Risk to identify highest impact points in the funnel to reduce loss exposure
- Develop scalable frameworks to manage risk scores, fraud detection alerts, and false positive monitoring
- Provide recommendations on risk controls and thresholds through fact based analysis
Qualifications
- 2-5 years of data analyst experience with a focus on fraud or risk management
- Experience developing fraud scores and risk rules through statistical modeling
- Deep experience investigating, analyzing and defending against emerging fraud trends including ATO and first party fraud
- Experience identifying and managing card authorization rules
- Understanding and experience with financial loss causes, measures, and mitigation strategies
- Strong analytic skills utilizing SQL, Python, R, etc.
- Experience with digital banking, payments networks, or financial services
- Intellectually curious and strong ability to adapt strategies as fast as the fraudsters
Nice to Have
- Experience in the fintech industry or with start-ups
- Experience with Mastercard and Mastercard Connect
- Managing projects through tools like Jira