Senior Fraud Analyst

Bridgestone Americas • Brook Park, MN

6d • Hybrid

About The Position

As a Senior Fraud Risk Analyst at CFNA (a Bridgestone company), you will play a key role in protecting our Mastercard and private label card portfolios from fraud. You will analyze fraud trends, optimize detection strategies, build and evolve reporting, and collaborate across teams to strengthen our fraud prevention capabilities. This role is well-suited for a data-driven professional who enjoys turning complex data into clear, actionable decisions in a dynamic environment. The 3 main areas that are critical for success in this role are: 1. Technical knowledge - SQL knowledge is a must, Python/other scripting languages are good to have 2. Data experience - pulling and analyzing data are critical 3. Domain knowledge

Requirements

• Bachelor’s degree in Business, Economics, Mathematics, Computer Science, MIS, or related field or equivalent practical experience.
• 4+ years of experience in fraud investigations, fraud analytics, or fraud risk management.
• Proficiency in SQL and at least one statistical or scripting language (e.g., Python, SAS).
• Strong analytical and critical thinking skills with the ability to interpret complex data sets and communicate insights clearly.
• Demonstrated ability to work both independently and collaboratively in a hybrid environment (typically Tue–Thu on-site).

Nice To Haves

• Experience in consumer lending or financial services.
• Working knowledge of regulatory and compliance frameworks related to credit card issuance, account management, and financial crime/fraud best practices.
• Familiarity with Mastercard fraud rules and common processing platforms (e.g., Fiserv, Defense Edge).
• Exposure to machine learning techniques and fraud modeling.
• Experience working with large-scale data environments and fraud detection systems (including slowly changing dimensions).

Responsibilities

• Analyze fraud trends across the customer lifecycle (e.g., originations, transactions, payments, PII changes, account takeover).
• Refine and recommend fraud detection rules, thresholds, and models using SQL and at least one statistical/scripting language (e.g., Python, SAS), as well as emerging tools/products.
• Translate investigations and analytics into clear, actionable insights to mitigate risk and reduce loss.
• Collaborate with your manager and other stakeholders to balance loss prevention with positive customer experiences.
• Conduct deep-dive investigations into fraud events to identify patterns, root causes, and strategic defenses.
• Partner with internal stakeholders and external vendors to enhance detection platforms and controls.
• Support the onboarding of new data sources and fraud prevention products/processes to strengthen mitigation and prevention
• Prepare documentation for audits, compliance reviews, and internal reporting.
• Contribute to the development and continuous improvement of fraud policies, procedures, and controls.

Benefits

• A supportive and engaging onboarding experience to ensure a smooth transition into our team.
• The opportunity to develop and grow, through training and regular mentorship.
• Corporate Social Responsibility activities.
• A truly global, dynamic and challenging work environment.
• Agility and work/life effectiveness and your long-term well-being.
• A diverse and inclusive team.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees