Fraud Data Analyst (Merchant and Loan)

Description

JOB TITLE: Fraud Data Analyst (Merchant and Loan)

LOCATION: Las Vegas

REPORTS TO: Head of Business Data Analytics

The Company:

Sunbit builds financial technology for real life. Our technology eases the stress of paying for life’s expenses by giving people more options on how and when they pay. Founded in 2016, Sunbit offers a next-generation, no-fee credit card that can be managed through a powerful mobile app, as well as a point-of-sale payment option available at more than 25,000 service locations, including 1 in 2 auto dealerships, optical practices, dentist offices, veterinary clinics, and specialty healthcare services. By introducing a flexible way to pay over time, we are proud of our ability to lift up service providers and retailers while helping consumers when necessary expenses arise... regardless of whether they were expected or unexpected. Sunbit was included on the 2022 Inc. 5000 list. The financial technology company has also been named as a Most Loved Workplace®, Best Point of Sale Company, and as a Top Fintech Startup by CB Insights. We use cutting-edge innovations in financial technology to bring leading data and features that allow individuals to be qualified instantly, making purchases at the point-of-sale fast, fair and easy for consumers from all walks of life. We create value focused on our core values; we work tirelessly to ensure that Sunbit becomes available to everyone, everywhere.

Sunbit is proud to be recognized on the CB Insights List of Unicorn Companies, with a valuation of $1.1B (https://www.cbinsights.com/research-unicorn-companies)

The Role:

This role is part of the Business Data Analytics team at Sunbit, reporting to the Head of Data. In this position, you will work closely with the Business Unit (BU) leaders of Fraud, using data to identify and research fraudulent activities while measuring and monitoring the company’s overall fraud objectives. You will collaborate cross-functionally with machine learning, product engineering, and fraud operations to help foster a safe platform for our customers.

Requirements

What You'll Own:

• Support Fraud department leaders in their analytical research and emerging trends analysis, focusing on Merchant and loan fraud
• Monitor key fraud metrics to proactively identify and address potential risks
• Respond quickly to fraud rings and collaborate with the business to implement new strategies to mitigate emerging fraud threats and vulnerabilities.
• Assist other Fraud Analysts in developing the fraud monitoring strategy
• Work closely with cross-functional teams to improve fraud insights
• Assist with the evaluation and implementation of new external or internal features and signals to enhance fraud detection capabilities
• Support the simulation of Sunbit KPIs for major fraud strategy changes

We are looking for someone who:

• Is proficient in data analysis using SQL and excited to acquire new technical skills
• Has strong analytical skills with the ability to identify patterns, trends, and anomalies in data
• Has experience with scripting languages, such as Python or R, for data analysis (preferred)
• Possesses strong verbal, written communication, and presentation skills
• Can clearly communicate findings and recommendations to both technical and non-technical audiences
• Has experience with BI tools (Sigma is a plus)
• Has experience in Credit Card, Loans, or other financial services instrument
• Is passionate about solving real-world problems with data
• Has passion for understanding and improving fraud detection systems to effectively identify and mitigate fraudulent activities.
• Has experience in fraud prevention, risk management, or related fields (preferred)
• Can see the big picture and can think long-term
• Possesses a growth mindset and takes proactive ownership of projects
• Lives the 80/20 principle and gets things done
• Has 6+ years of relevant analytical experience with a bachelor’s degree or 4+ years of relevant experience with a master’s degree in a quantitative field (Analytics, Mathematics, Statistics, Economics, Engineering, etc.)

The Perks:

• Join one of LA’s fastest growing startups (2023), A Most Loved Workplace, #576 on the 2023 Inc 5000 list, and Forbes Fintech 50 (2024) 
• Mission driven + empowered + collaborative
• Competitive pay and stock options
• Unlimited PTO
• Health Insurance options