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Fraud Prevention Associate Jobs Near Me

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How much do fraud prevention associate jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for fraud prevention associate in the United States is $17.14, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $19.23 per hour, depending on experience, location, and employer.
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What states have the most Fraud Prevention Associate jobs? States with the most job openings for Fraud Prevention Associate jobs include:
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A map of the United States highlighting the number of Fraud Prevention Associate job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Fraud Prevention Associate job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Quant Analytics Associate - Fraud Prevention

JP Morgan Chase

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 9 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description

Embark on a rewarding and challenging career as a Quant Analytics Associate with our dynamic team. Join us and contribute to our mission while advancing your career. Here, you'll feel welcomed and valued. Our clients, transactions, deals and projects are global, so we work hard to create diverse, inclusive teams that support our business and each other.  

As a Quant Analytics Associate - Fraud Prevention within the Fraud Prevention Operations Optimization Analytics & Strategy team, you will support different products like Card, Retail and Digital, in optimizing for losses, customer experience and efficiency, through strategy recommendations.  You will work closely with peers in different groups within Strategy and Operations across the life cycle to support products like Zelle, Wires, Bill Pay etc. and help them manage ATO, Wrong doer, Scams etc.

Job responsibilities:

  • Develop and maintain code-driven data and monitoring solutions using languages such as SQL, SAS, and Python, including data extraction and querying, transaction/alert/claim trend monitoring, and performance analytics to optimize tool behavior and rules strategy
  • Monitor and maintain fraud authorization strategies to counter emerging attacks and trends across loss types, reduce false positives, support both card-present and card-not-present channels, and meet overall budget goals.
  • Collaborate closely with Operations to understand product policies and procedures and improve decision quality as needed.
  • Identify key drivers of customer pain points and partner with the broader Operations team to develop creative solutions.
  • Conduct deep dives across processes to identify gaps, efficiency opportunities, and leakage-prevention measures.
  • Partner with Strategy to optimize ATO, wrongdoer, and scam strategies and support controlled channel expansion (e.g., Challenge as a Service) to drive optimal outcomes across key portfolio segments and deliver profitable ROI.
  • Develop new model input variables and profiles, and expand the data footprint, pattern-detection techniques, and related capabilities to improve authorization decision accuracy across functions.
  • Partner with Claims, Recovery, and Customer Experience teams to improve recovery outcomes and reduce provisional credit theft.
  • Ensure compliance with the existing control framework and drive enhancements that enable successful closure of strategy audits and Matters Requiring Attention (MRAs).
  • Present clear, concise narratives by translating complex data and analysis into executive-ready materials for senior leaders and influencing outcomes across forums.

Required qualifications, capabilities and skills:

  • 2 years of work experience in risk management, strategic analytics, data analytics or payments function from a banking or consulting domain
  • Competent in the use of data technology to solve complex business problems, with hands-on expertise in the use of programming languages like LLM, Python/Hive, SAS, R, SQL, Unix and/or other Oracle and/or Teradata database tools 
  • Experience in Big Data platforms and technologies (Hadoop, Hive, Pig, Spark, etc.) & Machine learning
  • Strong communication, influencing and interpersonal skills with ability to interact with individuals across departments / functions and making recommendations to Senior management
  • Good multi-tasking skills with ability to manage and prioritize projects across cross-functional groups
  • Ability to thrive in a dynamic and fast-paced energetic environment and can adapt to changes quickly
  • Bachelors degree or work experience equivalent

Preferred qualifications, capabilities and skills:

  • Master's  degree in relevant technical or quantitative fields (e.g. Mathematics, Engineering, Finance, Business, Statistics, Operations Research and Economics) with strong analytical, technical, statistical skills preferred

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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