Director of Card Fraud

🕒 February 21

🇺🇸 United States – Remote

💵 $200k - $225k / year

⏰ Full Time

🔴 Lead

👔 Director

🦅 H1B Visa Sponsor

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Sunbit

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💳 Fintech

💸 Finance

🛒 Retail

Fintech • Finance • Retail

Sunbit is a technology company that provides a 'pay-over-time' financing solution to help individuals manage the cost of essential services such as auto repair, dental care, eye care, veterinary care, and general healthcare. The company partners with merchants and offers a next-generation credit card solution that enhances the shopping experience without additional fees. Sunbit focuses on making financing accessible and fair, with high approval rates and transparent terms, allowing customers to spread the cost of their purchases over time without late fees or hidden charges. Additionally, Sunbit collaborates with retailers to launch co-branded credit cards that integrate with existing loyalty programs, aiming to boost customer shopping frequency and order value.

📋 Description

• Lead strategies reduce fraud losses across the credit card lifecycle with a heavy emphasis on origination and the first 30 days, while balancing onboarding friction, operating expenses, and customer experience • Chair the cross-functional Card Fraud Business Area with team members from operations, product, engineering, decision science, analytics, risk management, compliance, and finance • Partner closely with Decision Science team to evaluate performance, develop new approaches, and lead efforts on the acquisition of high-performing data sources • Accountable for overall card fraud performance and financial targets

🎯 Requirements

• Fraud risk management experience in a fast growing consumer lending business; proven ability to “own a loss target” and manage it effectively; practical expertise on strategies to manage risk for fully-digital consumer lending origination • Demonstrated success working in a matrixed organization and partnering with a strong data science / decision science / fraud analytics team • Practical/operating understanding of statistical modeling • Practical/operating understanding of machine learning principles • Demonstrated understanding of the best practices and leading third-party solutions in the fraud data space, including credit bureaus, public records, network risk scores, digital identity and footprint, etc. • Vendor management skills; knows how to negotiate and drive effectiveness with data suppliers and partners • Experience in credit card transaction risk modeling • Experience operating on Fiserv Defense Edge platform for credit card transaction risk modeling

🏖️ Benefits

• Competitive pay and stock options • Unlimited PTO • Health Insurance options including Medical, Dental, Vision, Life, EAP, FSA, & Parental Leave • Newly added HSA and Pet Insurance • 401K Plan with Matching • Cell Phone Stipend • Casual Dress • Team based strategic planning + Team owned deliverables