Sunbit-posted 3 months ago
Full-time • Mid Level
Las Vegas, NV
501-1,000 employees
Professional, Scientific, and Technical Services

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.

  • 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
  • Proficient in data analysis using SQL and excited to acquire new technical skills
  • Strong analytical skills with the ability to identify patterns, trends, and anomalies in data
  • Experience with scripting languages, such as Python or R, for data analysis (preferred)
  • Strong verbal, written communication, and presentation skills
  • Ability to clearly communicate findings and recommendations to both technical and non-technical audiences
  • Experience with BI tools (Sigma is a plus)
  • Experience in Credit Card, Loans, or other financial services instrument
  • Passionate about solving real-world problems with data
  • Passion for understanding and improving fraud detection systems to effectively identify and mitigate fraudulent activities
  • Experience in fraud prevention, risk management, or related fields (preferred)
  • Ability to see the big picture and think long-term
  • Possesses a growth mindset and takes proactive ownership of projects
  • Lives the 80/20 principle and gets things done
  • 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.)
  • 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 including Medical, Dental, Vision, Life, EAP, FSA, & Maternity Leave
  • Newly added HSA and Pet Insurance
  • 401K Plan with Matching
  • Cell Phone Stipend
  • Casual Dress
  • Open door policy / Open office floor plan
  • Team based strategic planning + Team owned deliverables
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