Prior Listings
Fraud Risk Analytics
Fraud Risk Analytics
This job is no longer open
The Petal mission
Petal’s mission is to bring financial opportunity and innovation to everyone.
We're pioneering a new approach to credit, enabling Petal Card* applicants to leverage their banking history, in addition to their credit history, to establish their creditworthiness. Our proprietary Cash Scoring technology takes applicants’ income, spending, and savings into account and is helping traditionally underserved consumers across the United States access honest, simple and responsible credit, even if they’ve never had it before.
We bring the same ingenuity to Petal Card products. Our simple and intuitive app gives members access to credit score tracking, budgeting tools, subscription management, and automated payment options—everything they need to make financial progress.
Now more than ever, Americans need help improving their credit safely, responsibly, and affordably. If this sounds like something you’d like to be a part of, apply now, and let’s change this trillion-dollar industry together.
At Petal, we're looking for people with kindness, positivity, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Petal, we welcome diverse perspectives from people who think rigorously and aren't afraid to challenge assumptions.
*Petal Cards are issued by WebBank, Member FDIC
Fraud Risk
Our Fraud team requires two vertical functions: prevention/integration, which assesses and ensures an effective fraud strategy policy by collaborating with business; and fraud analytics, which builds/develops detection strategies and KPIs to track strategy efficiency. We’re looking for professionals who can focus on the latter role by providing analytical and data science support to our existing Fraud prevention process
Key responsibilities
- Develop disciplined monitoring of fraud risk metrics at the portfolio level, as well as across key stages of the customer lifecycle such as underwriting and customer management, and perform root cause analyses of concerning trends to identify performance drivers
- Produce Fraud KPIs and track fraud tags and disputes; keep relevant team members informed
- Set and and maintain alert generation and forecasting; develop rules and strategy for maintenance and optimization (in-system and batch)
- Build and track suspicious activity dashboards
- Develop anomaly detection routines
- Run confirmed and suspected fraud investigations
- Provide analytical support and rigor to fraud questions, using SQL/Excel/some Python or R
- Support overall fraud model developmentIdentify and integrate new data sources, vendors, tools and capabilities to drive key fraud-related business decisions; build business cases and run backtest analyses
- Research and remain current on the latest industry fraud trends and recommend tools, services, and practices for improvement
Characteristics of a successful candidate
- Bachelor's degree in STEM field, or work equivalent
- 3-5 years of experience in credit/fraud risk management at a financial institution; startup experience is a plus
- Strong analytical and problem-solving skills. Must have the ability to compile, analyze, research, and link complex issues
- Demonstrated ability to work effectively in high pressure situations and handle multiple priority assignments simultaneously
- Excellent communication skills, both written and verbal with the ability to effectively communicate at all levels
- Ownership mindset and bias for action
- Detail orientation but able to still see the ‘trees’.
- Strong SQL skills required; Python and R are major pluses
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This job is no longer open