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Fraud Analytics Jobs in Delaware (NOW HIRING)

Fraud Risk, Senior Group Manager

Wilmington, DE · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate will have a deep understanding of Fraud, Operational & compliance risks within the banking / payments industry, strong analytical skills, ability to influence and collaborate with ...

Showing results 41-60

Fraud Analytics information

See Delaware salary details

$15

$30

$63

How much do fraud analytics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for fraud analytics in Delaware is $30.71, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.94 per hour, depending on experience, location, and employer.

How does a fraud analytics professional typically collaborate with other departments within an organization?

Fraud Analytics professionals frequently work cross-functionally, partnering with teams such as IT, compliance, risk management, and customer service. They analyze data to identify suspicious activities and then communicate findings to relevant stakeholders, often participating in investigations or recommending process improvements. Effective collaboration ensures that fraud detection strategies stay up-to-date and align with broader organizational goals, making strong communication skills and teamwork essential for success in this role.

What is the difference between Fraud Analytics vs Fraud Prevention Specialist?

AspectFraud AnalyticsFraud Prevention Specialist
Primary FocusAnalyzing data to detect and predict fraudulent activitiesImplementing strategies and actions to prevent fraud
Skills & CertificationsData analysis, statistical tools, SQL, certifications like Certified Fraud Examiner (CFE)Customer service, risk management, fraud detection techniques, certifications like CFE
Work EnvironmentData analysis teams, financial institutions, tech companiesCustomer support centers, financial institutions, retail
GoalsIdentify patterns, develop models, improve detection accuracyReduce fraud incidents, enhance prevention measures

While both roles aim to combat fraud, Fraud Analytics focuses on analyzing data to identify and predict fraudulent activities, whereas Fraud Prevention Specialists implement measures to prevent fraud from occurring. Both roles often collaborate but serve different functions within fraud management strategies.

What are the key skills and qualifications needed to thrive as a fraud analytics professional, and why are they important?

To thrive in Fraud Analytics, you need strong analytical abilities, proficiency in statistics, and experience with data analysis, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with data mining tools, SQL, Python, machine learning platforms, and certifications like Certified Fraud Examiner (CFE) are typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data patterns and presenting findings to stakeholders. These skills are crucial for detecting fraudulent activities, minimizing financial risks, and supporting organizational integrity.

How much does a fraud analyst get paid?

A fraud analyst's salary typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher salaries. Many roles also include benefits such as bonuses and professional development opportunities.

What is fraud analytics?

Fraud analytics is the process of using data analysis, statistical methods, and machine learning techniques to detect, prevent, and investigate fraudulent activities within an organization. Professionals in this field analyze large sets of transactional and behavioral data to identify patterns and anomalies that may indicate fraud. Fraud analytics is commonly used in industries such as banking, insurance, retail, and e-commerce to minimize financial losses and protect customers. The role often involves working with specialized software and collaborating with other teams to implement effective anti-fraud strategies.

Is fraud analysis a good career?

Fraud analysis is a growing field within risk management that involves detecting and preventing fraudulent activities using data analysis and investigative skills. It offers opportunities for advancement, requires knowledge of analytics tools, and often involves working in financial or e-commerce environments. The role can be stable and rewarding for those interested in security and data-driven decision making.

What are popular job titles related to Fraud Analytics jobs in Delaware?

For Fraud Analytics jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Fraud Analytics jobs in Delaware look for?

The top searched job categories for Fraud Analytics jobs in Delaware are:

What cities in Delaware are hiring for Fraud Analytics jobs?

Cities in Delaware with the most Fraud Analytics job openings:

Infographic showing various Fraud Analytics job openings in Delaware as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $63,877 per year, or $30.7 per hour.

Quant Analytics Senior Associate - Point of Sales Capabilities

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 17 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 494 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

Step into an exciting role as a Quant Analytics Associate on our Point of Sale Capabilities (POS) team, where you'll use data and technology to help stop fraud and keep payments safe. If you enjoy solving problems and working with big data, you'll thrive in this collaborative and innovative environment.

As a Quant Analytics Associate Senior  within the POS Capabilities team you will join a forward thinking team that seeks to prevent plastics fraud through innovating analytics, advancing machine learning models, and modernizing authorization platforms.  Work with cross line of business partners to drive benefits in all aspects of fraud prevention through advancing technology capabilities, identifying new data sources, and improving analytic techniques.         The ideal candidate should be a self-driven problem solver that is capable of analyzing big data, understanding complex systems, identifying opportunities, creating solutions and leading large scale projects

Job Responsibilities

  • Understand the full lifecycle of a point of sale transaction, identify improvement opportunities and execute on them
  • Contribute to key technical projects by making design recommendations and ensuring that all business needs are met
  • Build, develop and maintain new capabilities that support fraud decisioning rules, data models, KPI monitoring and reporting, performance metrics systems and data automation systems
  • Partner with the Consumer and Community Banking (CCB) Risk Modeling team to advance our machine learning models by improving modeling techniques, identifying new variables, and improving the model update cycle
  • Seek to improve internal analytical techniques and introduce best practices to help improve on key business metric and the ability to work collaboratively with cross-functional partners to understand and address key business challenges
  • Identify business opportunity by performing well thought analysis - data mining, ensuring data integrity, synthesizing, and communication findings to senior management
  • Provide clear and concise oral and written communication across various functions and levels, inclusive of the broader fraud strategy team and cross-functional teams, including interpreting large amounts of complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities as well as performing ad hoc analysis and deliver updates on key projects to leadership teams 
  • Stay on top of the industry trends and adopt industry best practices

Required qualifications, capabilities, and skills

  • MS degree with 5+ years Risk Management or other quantitative experience 
  • Excellent collaboration and partnership skills with proven track record in working well with internal teams and external partners
  • Proven track record in solving business problems, and/or Project Management Skills -- well-organized, structured approach.  Ability to achieve tight timelines on complex deliverables
  • Advanced understanding of SAS, SQL, and Python
  • Proven ability to query large amounts of data and transform the raw data into actionable management information
  • Strong communication and interpersonal skills with ability to interact with individuals across departments / functions and with senior-level executives

Preferred Qualifications, Capabilities, and Skills

  • Strong analytical and problem-solving abilities
  • Experience delivering recommendations to management
  • Familiarity with risk analytic techniques 
  • Preferred experience supporting more than one CCB Operations Function/Line of Business
     

This role is not eligible for visa sponsorship

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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