Prior Listings
Fraud Risk Analyst
Fraud Risk Analyst
This job is no longer open
Fraud and Risk
One of the key distinctions of Petal is our cashflow underwriting model. In order for us to offer those who are new-to-credit access to credit, we can’t rely on the traditional scores generated by credit bureaus; instead, we use an applicant’s checking account behavior to assess creditworthiness. This enables us to approve the underserved population of ‘credit invisibles’, helping them on their way to financial health. With our innovative model comes more opportunity for fraudulent and criminal behavior, and that’s why we need to bolster our Fraud team.
Key responsibilities
- Responsible for providing analytical support to mitigate risk, enable revenue growth, and drive profitability through diverse analytical projects; conduct daily analyses using SQL/Excel and automating your work with tools wherever possible
- Integrate new data sources, tools and capabilities to drive key fraud-related business decisions
- Research and remain current on the latest industry fraud trends and recommend tools, services, and practices for improvement
- Identify and develop process improvements/automation to maximize efficiency of fraud detection activities as required; this includes finding ways to best leverage our Customer Ops team in Richmond, VA
- Review, evaluate and drive selection of new vendors or technologies to enhance the fraud strategy and mitigate emerging risks
- Execute changes to the fraud strategy (requires proficiency in Java, R, Python or similar languages)
- Develop disciplined monitoring of credit and 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
- Establish the appropriate analytical environment and reporting to ensure comprehensive fraud coverage
- Collaborate with multiple partners including Finance, Engineering, Product, and other cross-functional teams to design and implement risk control strategies based on statistical, financial, and economic analysis
- Develop business and product strategy based on analytical findings, supporting the work of our product (digital and physical card)
Characteristics of a successful candidate
- Bachelor's degree in finance, accounting, economics, engineering, or statistics
- 1-2 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
- Adaptability in ambiguity. Not fazed by short-term challenges which come part and parcel with startups
- Ownership mindset and bias for action
- Detail orientation but able to still see the ‘trees’.
- SQL skills, experience with Periscope and Microsoft Office/Excel required
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This job is no longer open