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Fraud Data Analyst

Remote: 
Full Remote
Contract: 
Salary: 
2 - 2K yearly
Experience: 
Senior (5-10 years)

Offer summary

Qualifications:

6+ years analytical experience or 4+ years with a master's degree., Bachelor's in Analytics, Mathematics, Statistics, Economics or Engineering., Proficient in SQL and data analysis., Experience with Python or R and BI tools is preferred..

Key responsabilities:

  • Monitor key fraud metrics and identify risks.
  • Collaborate with teams to enhance fraud detection.

Sunbit logo
Sunbit Financial Services http://sunbit.com/
501 - 1000 Employees
See all jobs

Job description

Description

JOB TITLE: Fraud Data Analyst

LOCATION: Remote, US

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 21,000 service locations, including 1 in 3 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 and 2023 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
  • 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


What You Bring to the Table:

  • 6+ years of relevant analytical experience with a bachelor’s degree, or 4+ years with a master’s degree in a quantitative field (Analytics, Mathematics, Statistics, Economics, Engineering, etc.)
  • Proficient in data analysis using SQL, with a strong eagerness to acquire new technical skills
  • Experience with scripting languages like Python or R for data analysis (preferred)
  • Familiar with BI tools, including Sigma (a plus)
  • Strong analytical capabilities, skilled in identifying patterns, trends, and anomalies in data
  • Excellent verbal, written communication, and presentation skills
  • Able to clearly communicate findings and recommendations to both technical and non-technical audiences
  • Experience in the financial services industry (credit cards, loans, or similar instruments)
  • Passionate about solving real-world problems through data-driven insights
  • Enthusiastic about improving fraud detection systems to 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
  • Strong growth mindset and proactive ownership of projects
  • Lives the 80/20 principle to maximize efficiency and results


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), #161 on Deloitte Technology Fast 500 list
  • 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


Core Values for Success at Sunbit:

  • Serve others before self - Focus on analytics that drive collective progress and support company-wide goals 
  • Own the impact - Take full responsibility for accuracy and implications of your data insights
  • Connect genuinely -Build and maintain strong relationships with internal stakeholders
  • Act fast - Demonstrate agility and responsiveness in a fast paced environment
  • Include always - Ensure inclusivity in your analytical approach by considering diverse perspectives and impacts
  • Innovate for good - Continually seek opportunities to improve and innovate in the realm of data analytics at Sunbit


Sunbit is an Equal Opportunity Employer. We strive to provide a professional & welcoming workplace for all employees.


Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Analytical Skills
  • Growth Mindedness
  • Collaboration
  • Communication
  • Problem Solving

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