2,157 Fraud Detection jobs in the United States

Veryfi deals with business documents. We are a fast-growing company that deals with countless business documents of all types. The ability to discern fraudulent documents is pivotal to our company. Our customers rely on us to tell apart fraud submission from the genuine article. The earlier in the process we can pinpoint fraud, the more we can spare the aggravations further down the process line.

Veryfi is looking for a fraud expert to join our AI team to drive innovation in both digital and physical document forgery detection. We want you to be part of the team that will lead in world-class fraud detection. We are looking for someone almost obsessively detail-oriented with equal measure in formal mathematical/academic training and industry seasoning with a proven track record of delivering solutions to very complex problems with your immense creativity. We want someone who not only has written seminal journal papers in relevant fields, but also has some experience being part of a team that has nurtured their work into production.

We expect you to become an expert on analyzing document fraud in all manifestations. Define a clear and comprehensive approach in the fraud identification model that anticipates and adapts to future fraud approach attempts. Fraudsters are only too willing to move on to the next approach once their present scheme is detected. We strive to get ahead of them rather than merely react.

Expectations:

• A razor-sharp intellect
• 2+ years of work experience in fraud detection
• Excellent academic credentials with at least a BS in Mathematics, Statistics, CompSci, etc… We would consider very strong candidates with more years of relevant experience in lieu of alphabets array (MS, PhD)
• Experience with necessary tools including Spark, Elasticsearch, DBs (SQL, NoSQL, GraphDB)
• Strong programming skills - If you need someone else to write into production code your innovative fraud solution then maybe this position is not for you.

• Lead the design, development, and deployment of advanced machine learning models for fraud detection.
• Mentor and manage a team of data scientists and analysts.
• Collaborate with cross-functional teams to integrate fraud detection solutions into business operations.
• Perform extensive data analysis, feature engineering, and model validation.
• Stay current with cutting-edge research in data science, machine learning, and fraud detection techniques.
• Communicate complex findings and recommendations to stakeholders at all levels.
• Develop and maintain documentation for models and processes.
• Ensure the scalability and efficiency of fraud detection systems.
• Contribute to the strategic direction of fraud prevention efforts.

• Design, develop, and implement machine learning models for real-time fraud detection.
• Analyze large, complex datasets to identify patterns, anomalies, and risk indicators.
• Perform feature engineering and data preprocessing for model development.
• Evaluate and optimize model performance using appropriate metrics.
• Deploy models into production environments and monitor their ongoing effectiveness.
• Collaborate with engineering and product teams to integrate data science solutions.
• Present findings, insights, and model performance to stakeholders.
• Research and stay up-to-date with the latest advancements in machine learning and fraud detection techniques.
• Mentor junior data scientists and contribute to the team's technical growth.
• Contribute to the development of data science best practices and infrastructure.

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a focus on fraud detection or similar areas.
• Strong proficiency in programming languages such as Python or R.
• Extensive experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Deep understanding of statistical modeling, machine learning algorithms, and anomaly detection techniques.
• Experience working with large datasets and big data technologies (e.g., Spark, Hadoop).
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex concepts clearly.
• Proven ability to work independently and collaboratively in a remote setting.

Zions Bancorporation is one of the nation's premier financial services companies operating as a collection of great banks under local brands and management teams in high-growth western markets. Zions is regularly recognized by American Banker magazine as having a top banking team in its list of "The Most Powerful Women in Banking." Our customers consistently vote us as the best bank in our local markets. We value our employees, and we are committed to search out, recognize and create fulfilling opportunities for outstanding people within our organization, rewarding them for their contributions to our success. We recognize that banking is a "local" business, and that to be successful, we must have very strong ties to the communities we serve and strong relationships with our customers. With benefits starting on day one, 12 bank holidays, profit sharing and company-matched 401(k) contributions, Zions is dedicated to being an employer of choice in our communities. At Zions, the possibilities are endless. You bring the talent; we bring the opportunity. We are currently seeking a Bank Card Fraud Detection Specialist to join our team. This position will be located in-office in Midvale, UT, and the hours will be Monday-Friday 9:00 am-6:00 pm with occasional Saturdays. Your key responsibilities: - Monitor various fraud detection queues and reports. - Analyze and review trends and customer account activity to detect potential fraud situations. - Make outbound calls to verify potential fraudulent activity. - Take calls on fraud issues from both internal and external sources. - Investigate suspicious alerts. - Analyze information and close, open, or block of cards if necessary. - Assist the investigation team as needed. - Prepare reports, monitor progress, and watch for any developing problems. - Work with cardholders to verify legitimate usage and ensure that losses are minimized. - Perform other duties as assigned. Qualifications: - Requires a High School degree or Equivalent and 1+ years of bankcard, fraud investigations, operations, process and procedures or other directly related experience. - A combination of education and experience may meet job requirements. - Basic working knowledge of credit and bank card products and operations, collections and customer service. - Basic knowledge of fraud or investigations processes and procedures. - Must have good decision making, prioritization, customer service, analytical and research/investigation skills. - Sound PC skills. - Sound problem resolution and communication skills, both verbal and written. - Ability to work independently and meet deadlines. Benefits: - Medical, Dental and Vision Insurance - START DAY ONE! - Life and Disability Insurance, Paid Parental Leave and Adoption Assistance - Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts - Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays, and any applicable state holidays - 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience - Mental health benefits including coaching and therapy sessions - Tuition Reimbursement for qualifying employees enrolled in an accredited degree program related to the needs of the business, maximum of $5,250 per calendar year, employees are eligible for the program upon hire - Employee Ambassador preferred banking product Pay (depending on experience): $9.00- 22.50