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Staples

Cyber Fraud Analyst II

Posted 27 Days Ago
In-Office or Remote
Hiring Remotely in United States
Junior
In-Office or Remote
Hiring Remotely in United States
Junior
Analyzes datasets and investigates cyber fraud and suspicious activity, develops fraud prevention strategies using analytics and predictive modeling, improves detection tools and monitoring, conducts post-incident investigations, communicates risks and recommendations, researches emerging fraud schemes, and supports cross-functional fraud response initiatives.
The summary above was generated by AI

Staples is business to business. You’re what binds us together.

Staples is the world's largest B2B office products company, serving millions of business customers through a diversified portfolio spanning contract sales, eCommerce, retail, and third-party marketplace channels. Staples Digital Solutions (SDS) is the technology organization powering that business — a team of passionate, collaborative, and agile engineers and architects committed to driving innovation and delivering customer-centric technology at scale


As part of Staples Digital Solutions, our Cyber Fraud team plays a critical role in protecting our organization, customers, and business operations from evolving cyber threats. If you're passionate about leveraging data, technology, and analytical thinking to stop fraud before it happens, this is an exciting opportunity to make a meaningful impact while advancing your cybersecurity career.


The Cyber Fraud Analyst II is a dynamic and critical role focused on safeguarding Staples against a wide range of cyber fraud threats. In this position, you will leverage advanced technologies, analytics, and fraud detection methodologies to identify, investigate, and mitigate fraudulent activity before it impacts our business. You will partner closely with cybersecurity, technology, and business stakeholders to strengthen fraud prevention capabilities and help drive innovative solutions that stay ahead of emerging threats.


Please note, this role includes a shared on-call rotation that may require occasional after-hours support. The schedule is designed to distribute coverage responsibilities across the team.


What You’ll Be Doing:

  • Conduct in-depth analysis of data to identify, assess, and investigate cyber fraud threats and suspicious activity.
  • Develop and enhance fraud prevention strategies utilizing advanced analytics and predictive modeling techniques.
  • Partner with IT Security and cross-functional teams to improve fraud detection tools, processes, and monitoring capabilities.
  • Perform post-incident investigations and trend analysis to identify patterns and strengthen future prevention efforts.
  • Exercise independent judgment to evaluate fraud risks and determine appropriate mitigation actions.
  • Communicate fraud trends, risks, and recommendations to business and technical stakeholders.
  • Support and lead cross-functional initiatives designed to enhance fraud detection and response capabilities.
  • Research industry trends, emerging fraud schemes, and new technologies to continuously improve detection strategies.
  • Help mentor junior analysts and contribute to knowledge sharing across the team.
  • Drive innovation by identifying opportunities to improve fraud detection methodologies and operational effectiveness.

What You Bring To The Table:

  • Strong analytical and problem-solving skills with the ability to evaluate complex datasets and identify actionable insights.
  • A proactive mindset and passion for uncovering risks before they become incidents.
  • Excellent communication skills with the ability to translate technical findings into business-focused recommendations.
  • Ability to collaborate effectively across cybersecurity, technology, and business teams.
  • Curiosity, adaptability, and a commitment to staying current with emerging cyber fraud trends and technologies.
  • Strong attention to detail and sound decision-making skills in fast-paced environments.

What’s Needed- Basic Qualifications:

  • 2+ years of progressively complex experience in cyber fraud analysis, fraud investigations, cybersecurity, or a related field.
  • Experience utilizing fraud detection systems, tools, methodologies, and investigative techniques.
  • Knowledge of cybersecurity principles, fraud prevention frameworks, and data privacy regulations.
  • Experience analyzing large datasets to identify fraud patterns, anomalies, and potential threats.
  • Ability to work independently while managing multiple priorities and investigations.

What’s Needed - Preferred Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Cybersecurity, a related field, or equivalent work experience.
  • Professional certifications such as Certified Fraud Examiner (CFE) or equivalent fraud/cybersecurity certifications.
  • Master's degree in a related discipline.
  • Experience with predictive analytics, fraud modeling, or advanced fraud detection technologies.
  • Experience working closely with cybersecurity operations, threat detection, or risk management teams.

We Offer:

  • Inclusive culture with associate-led Business Resource Groups
  • Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays + 1 floating holiday)
  • Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!

The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.   

About UsStaples is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.

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