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Senior Fraud Analyst Jobs in San Ramon, CA (NOW HIRING)

Sr Fraud Analyst

San Jose, CA · On-site

$140K - $165K/yr

Senior - Payments & Fraud Analytics Employment: Full-Time Location: San Jose, CA (Hybrid) | Full-Time Industry: Fintech For one of our Fortune client we are hiring for a high-impact Payments & Fraud ...

Collaborate with Engineering and senior management to investigate complex cases and recommend risk ... fraud detection tools. * Strong analytical skills with the ability to interpret complex data and ...

As a Senior Fraud Researcher, you will sit at the intersection of live fraud investigation, applied ... Conduct longitudinal and structural analysis of how fraud types manifest in Plaid network data ...

Strong analytical skills with the ability to transform complex data into actionable insights ... Demonstrated ability to influence senior leaders and drive alignment across highly matrixed ...

We leverage machine learning and analytics to combat malicious behavior in real time, supporting a ... As a Senior Data Scientist on the Fraud team, you will own the design and deployment of ML ...

As an Economy Fraud engineer, you defend Roblox from all types of fraud, including theft, scams ... Analytical work may include but is not limited to Data Analysis, Scientific Computing, Statistical ...

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Senior Fraud Analyst information

See San Ramon, CA salary details

$59.8K

$122.8K

$159.2K

How much do senior fraud analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior fraud analyst in San Ramon, CA is $122,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $153,100.00 per year, depending on experience, location, and employer.

What does a senior fraud analyst do?

A Senior Fraud Analyst is responsible for detecting, investigating, and preventing fraudulent activities within an organization. They analyze complex data to identify suspicious patterns, develop strategies to mitigate risks, and work closely with other departments such as compliance, legal, and law enforcement. Senior Fraud Analysts often lead and mentor junior analysts, manage high-profile cases, and help implement new technologies or processes to enhance fraud detection capabilities. Their expertise ensures that the organization minimizes financial losses and maintains integrity in its operations.

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

To thrive as a Senior Fraud Analyst, you need a solid background in data analysis, risk assessment, and fraud detection, typically supported by a degree in finance, accounting, or a related field. Familiarity with fraud detection software, data visualization tools, and knowledge of regulatory compliance systems like AML and KYC are essential. Strong analytical thinking, attention to detail, and effective communication skills help you identify trends and collaborate with internal teams. These skills are vital for accurately detecting fraudulent activity, minimizing financial losses, and ensuring regulatory compliance.

What are some of the main challenges senior fraud analysts face when working with cross-functional teams?

Senior Fraud Analysts often collaborate with departments like IT, customer service, and legal to investigate and prevent fraudulent activities. A common challenge in these collaborations is aligning priorities, as each team may have different objectives and timelines. Clear communication and a proactive approach to sharing findings and recommendations are essential to ensure everyone is working toward the same goals. Developing strong relationships across teams can make it easier to implement effective anti-fraud strategies and respond quickly to emerging threats.

What is the difference between Senior Fraud Analyst vs Fraud Investigator?

AspectSenior Fraud AnalystFraud Investigator
CredentialsBachelor's degree, certifications like CFE or ACFE often preferredSimilar credentials, often with CFE or related certifications
Work EnvironmentAnalyzing data, developing fraud detection strategies, working with teamsConducting investigations, interviewing, collecting evidence
Employer & IndustryFinancial institutions, e-commerce, insurance companiesLaw enforcement agencies, financial institutions, corporate security
Search & Comparison IntentUnderstanding roles, responsibilities, and qualificationsDifferences in investigative scope and daily tasks

Senior Fraud Analysts focus on analyzing data and developing fraud prevention strategies, while Fraud Investigators conduct in-depth investigations and gather evidence. Both roles require similar credentials and are common in financial and corporate sectors, but their daily tasks and focus areas differ.

How much does a senior fraud analyst get paid?

A senior fraud analyst typically earns between $70,000 and $100,000 annually, depending on experience, location, and industry. They often require strong analytical skills and knowledge of fraud detection tools to perform their duties effectively.

What are the most commonly searched types of Fraud Analyst jobs in San Ramon, CA?

The most popular types of Fraud Analyst jobs in San Ramon, CA are:

What are popular job titles related to Senior Fraud Analyst jobs in San Ramon, CA?

For Senior Fraud Analyst jobs in San Ramon, CA, the most frequently searched job titles are:

What cities near San Ramon, CA are hiring for Senior Fraud Analyst jobs?

Cities near San Ramon, CA with the most Senior Fraud Analyst job openings:

Infographic showing various Senior Fraud Analyst job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $122,755 per year, or $59 per hour.

Sr Fraud Analyst

ALOIS LLC

San Jose, CA • On-site

$140K - $165K/yr

Full-time

Re-posted 16 days ago


Job description

Senior - Payments & Fraud Analytics

Employment: Full-Time

Location: San Jose, CA (Hybrid) | Full-Time

Industry: Fintech
 

For one of our Fortune client we are hiring for a high-impact Payments & Fraud Analytics role with a fast-paced analytics team focused on optimizing payment performance, reducing fraud losses, and driving data-backed business decisions.

This opportunity is ideal for someone who combines strong analytical and technical skills with a consulting mindset and deep exposure to payments and fraud domains.

What You’ll Do
  • Analyze large-scale payment and fraud transaction data to identify trends, anomalies, and business opportunities.
  • Drive insights related to credit/debit card payments, fraud prevention, authorization optimization, chargebacks, and customer experience.
  • Build dashboards, reporting solutions, and visualizations using SQL, Tableau, and related analytics tools.
  • Partner closely with Product, Risk, Operations, and Engineering stakeholders to solve complex business problems.
  • Design deep-dive analyses, experiments, and data-driven strategies to improve payment success rates and reduce fraud exposure.
  • Translate complex analytical findings into clear recommendations for business and leadership teams.
  • Independently manage analytics initiatives in a client-facing and cross-functional environment.
What We’re Looking For
  • 3–10 years of experience in Payments Analytics, Fraud Analytics, Risk Analytics, or related domains.
  • Ideal experience range: 4–6 years.
  • Strong background in:
    • Credit/debit card payments
    • Payments fraud
    • Card fraud
    • Account takeover (ATO)
    • Fraud/risk analytics
    • Transaction analytics
  • Hands-on expertise in SQL is required; Python experience is strongly preferred.
  • Experience with Tableau or similar BI/reporting tools.
  • Strong analytical problem-solving and stakeholder communication skills.
  • Ability to work independently, manage ambiguity, and operate with a consulting mindset.
  • Prior experience within banking, fintech, payment processors, card networks, or financial services environments is highly preferred.
Preferred Backgrounds

Candidates from organizations such as banks, fintechs, payment processors, card networks, or fraud/risk consulting environments are strongly encouraged to apply.

Nice to Have
  • Experience with fraud modeling, experimentation, or A/B testing.
  • Exposure to risk decision engines, fraud tools, or chargeback processes.
  • Experience presenting insights to senior business stakeholders.

If you’re passionate about solving complex payments and fraud challenges using data, analytics, and strategic thinking, we’d love to connect.