Top 8 Fraud analyst Jobs in San Jose, Ca

Fraud Analyst
McAfee —San Jose, CA
- $107,430 - $176,490 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- SQL
- Paid parental leave
- Paid holidays
3d
Anti-Fraud Data Analyst - USDS
TikTok USDS JV —San Jose, CA
- $106,400 - $232,223 a year
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Paid holidays
3d
Security Analyst Investigator - Youth Safety or Human Exploitation
Meta —Menlo Park, CA
- $137,000 - $196,000 a year
- Computer science
- Computer Science
- 5 years
Senior Data Analyst- Fraud & AML
SpaceXAI —Palo Alto, CA
- $148,000 - $220,000 a year
- Master's degree
- SQL
- Math
- Disability insurance
- Health insurance
Quick Apply
14d
Compliance Analyst
Silicon Valley Medical Development —Los Gatos, CA
- $104,000 - $114,400 a year
- Full-time
- Mid-level
- High school diploma or GED
- Analysis skills
Staff Fraud and Risk Analyst - Neobanking
Intuit —Mountain View, CA
- $168,500 - $238,500 a year
- Finance
- SQL
- Analysis skills
Sr Financial Crimes Analyst
Stanford Federal Credit Union —Palo Alto, CA
- $95,000 - $120,000 a year
- Full-time
- 5 years
- Bachelor's degree
- Senior level
- Commuter assistance
- AD&D insurance
Quick Apply
Staff Fraud & Risk Analyst
Intuit —Mountain View, CA
- $176,500 - $238,500 a year
- 5 years
- Financial services
- Senior level

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fraud analyst jobs near san jose, ca

Fraud Analyst

McAfee -
San Jose, CA

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Job Details

Full-time
$107,430 - $176,490 a year
3 days ago

Benefits

Paid parental leave
Paid holidays
Disability insurance
Health insurance
Unlimited paid time off
Dental insurance
401(k)
Parental leave
Vision insurance
Flexible schedule

Qualifications

Query management
Financial data analysis tools

Full Job Description

Role Overview: We are seeking an experienced Data Analyst to join our dynamic Payments & Risk team. In this role, you will be responsible for defining data requirements and building analytics dashboards to enable the risk team to detect, prevent, and mitigate fraud risks. You will analyze complex data sets, identify trends, and collaborate with cross-functional teams to ensure the security and integrity of our processes and to secure our brand reputation. You will work closely with payments, risk, marketing, data, and engineering teams to ensure the right data is available when it’s needed. This role requires ability to write queries and output data in an easily digestible format. The role also requires comfort managing the natural ebbs and flows of work, including responding to time sensitive requests that may occasionally arise outside of standard business hours.
This is a hybrid role based in within a commutable distance of one of our hubs i.e. Frisco, TX or New York, NY or San Jose, CA or Newport Beach, CA. You will be required to be onsite on an as-needed basis; when not working onsite, you will work remotely from your home location. Position Details:

About the role:

Define data sources and data elements required to effectively understand our fraud vectors.
Have a clear understanding of each vendor with whom we work, their function, and the data they make available to us.
Write and optimize complex SQL queries to extract, transform, and analyze data from multiple databases.
Work with data engineers to improve data pipelines and ensure accurate fraud monitoring datasets.
Maintain data integrity and ensure proper documentation of fraud-related datasets.

Develop and maintain fraud risk measures and dashboards.
Follow the full data journey as it relates to the payment/fraud/business operations environment, including:
- Identifying issue(s) and potential areas of improvement
- Determining the correct data sets to evaluate
- Querying and validating the data
- Working with other departments to enhance the data with otherwise missing information
- Converting the data into a usable, human-readable form
- Extrapolating root causes and recommended solutions
- Identifying ROI, cost/benefit, and creating a business case for the solutions
- Preparing the information and presenting it to leadership
Ensure appropriate Key Risk Indicators are developed and maintained; identify and clearly articulate gaps.
Collaborate with Payments team and Business teams to incorporate emerging threats into our acquisition and account management strategies, reviewing partner and marketing agreements to identify vulnerabilities.
Monitor, analyze, and investigate transactions, customer accounts, and financial activities to identify potential fraudulent patterns or anomalies.

About you:

Minimum of 4+ years of experience in fraud analysis, or related data-centered roles, with a focus on digital goods, ideally software.
Experience with fraud detection vendors (e.g. Signifyd, Bolster, Arkose, others).
Familiarity with fraud detection systems, payment risk tools, or chargeback analysis.
Proficiency in data analysis and tools such as SQL, Databricks/Mosaic, PowerBI. Advanced Excel knowledge (pivot tables, query functions, visualizations, etc.).
Ability to present complex information clearly, resulting in influencing senior leaders. Consistent follow up, execution abilities are key.
Proven ability to work collaboratively in a fast-paced, cross-functional environment.
Experience with AI tools for building dashboards and analyzing complex datasets is a plus.
Experience working in subscription-based or digital commerce environments.
Experience analyzing affiliate marketing fraud, payment fraud, or account abuse.
Knowledge of machine learning techniques for fraud detection is a plus.

#LI-Hybrid

Company Overview: McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.:

Bonus Program
401k Retirement
Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
Paid Parental Leave
Support and Community Involvement
14 Paid Company Holidays
Unlimited Paid Time Off for Exempt Employees
96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year

We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Pay Range: The anticipated compensation for this position is USD $107,430.00/Yr. - USD $176,490.00/Yr. depending on experience and qualifications. Job Applicant Privacy Notice: Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.

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Refine Your Search

fraud analyst jobs in san jose, ca

Fraud Analyst

Anti-Fraud Data Analyst - USDS

Security Analyst Investigator - Youth Safety or Human Exploitation

Senior Data Analyst- Fraud & AML

Compliance Analyst

Staff Fraud and Risk Analyst - Neobanking

Sr Financial Crimes Analyst

Staff Fraud & Risk Analyst

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