Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures ... intelligence or large language model solutions in a client or production environment * Ability to ...
Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures ... intelligence or large language model solutions in a client or production environment * Ability to ...
Senior Fraud Intelligence information
See Rochester, NY salary details
$39.61 - $43.77
4% of jobs
$43.77 - $47.93
9% of jobs
$51.92 is the 25th percentile. Wages below this are outliers.
$47.93 - $52.09
13% of jobs
$52.09 - $56.25
19% of jobs
The median wage is $57.25 / hr.
$56.25 - $60.42
22% of jobs
$62.37 is the 75th percentile. Wages above this are outliers.
$60.42 - $64.58
17% of jobs
$64.58 - $68.74
9% of jobs
$68.74 - $72.90
3% of jobs
$72.90 - $77.06
2% of jobs
$77.06 - $81.22
1% of jobs
$81.22 - $85.38
1% of jobs
$39
$59
$85
How much do senior fraud intelligence jobs pay per hour?
As of Jul 16, 2026, the average hourly pay for senior fraud intelligence in Rochester, NY is $59.26, according to ZipRecruiter salary data. Most workers in this role earn between $52.16 and $63.80 per hour, depending on experience, location, and employer.
What does a Senior Fraud Intelligence professional do?
A Senior Fraud Intelligence professional analyzes complex data to detect, prevent, and respond to fraudulent activities within an organization. They use advanced analytical tools and investigative techniques to identify suspicious patterns and collaborate with law enforcement or internal teams to mitigate risks. Their responsibilities often include developing anti-fraud strategies, conducting in-depth investigations, and providing actionable intelligence to protect the company from financial loss.
What are the main challenges faced by a Senior Fraud Intelligence professional, and how can they be addressed?
A Senior Fraud Intelligence professional often faces challenges such as rapidly evolving fraud tactics, managing large volumes of data, and staying ahead of increasingly sophisticated threats. To address these, it is essential to continually update analytical skills, leverage advanced technologies such as machine learning, and collaborate closely with cross-functional teams including IT, legal, and compliance. Regular training, knowledge sharing, and proactive threat monitoring are also key strategies to maintain effective fraud prevention and detection.
What is the difference between Senior Fraud Intelligence vs Fraud Analyst?
| Aspect | Senior Fraud Intelligence | Fraud Analyst |
|---|---|---|
| Credentials | Bachelor's degree, certifications like CFE or ACFE often preferred | Similar educational background, often with certifications |
| Work Environment | Strategic, analytical, often involved in threat assessment and intelligence gathering | Operational, investigative, focused on transaction monitoring and case analysis |
| Employer & Industry | Financial institutions, e-commerce, insurance companies | Same industries, typically entry to mid-level roles |
| Search & Comparison Intent | Understanding senior-level responsibilities and qualifications | Entry to mid-level fraud detection and investigation roles |
Senior Fraud Intelligence professionals focus on strategic analysis, threat assessment, and intelligence gathering to prevent fraud at an organizational level. Fraud Analysts handle day-to-day investigations, transaction monitoring, and case resolution. While both roles require similar credentials and industry experience, Senior Fraud Intelligence roles involve higher-level strategic planning and leadership, whereas Fraud Analysts focus on operational tasks.
What are the key skills and qualifications needed to thrive as a Senior Fraud Intelligence Analyst, and why are they important?
To thrive as a Senior Fraud Intelligence Analyst, you need expertise in fraud detection, risk assessment, data analysis, and typically a degree in a related field such as finance, criminology, or cybersecurity. Familiarity with fraud management software, data analytics tools like SQL or Python, and relevant certifications (e.g., CFE—Certified Fraud Examiner) are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help you identify threats and collaborate with stakeholders. These skills ensure accurate identification of fraudulent activities and the implementation of strategies to protect organizations from financial and reputational harm.
What are popular job titles related to Senior Fraud Intelligence jobs in Rochester, NY? For Senior Fraud Intelligence jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Senior Fraud Intelligence jobs in Rochester, NY look for? The top searched job categories for Senior Fraud Intelligence jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Senior Fraud Intelligence jobs? Cities near Rochester, NY with the most Senior Fraud Intelligence job openings:
Cyber Identity - FDE Senior Consultant - Senior Engineering Management Specialist
Rochester, NY
Other
Posted 24 days ago
Deloitte rating
8.1
Based on 90 frontline employees who took The Breakroom Quiz
59th of 148 rated financial services
Job description
As a Senior Consultant in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As a Senior Consultant on the Digital Trust & Privacy team, you will be responsible for:
- Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
- Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
- Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
- Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
- Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
- Ability to mentor and provide clear guidance to others
The team
Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.
Qualifications
Required:
- Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
- 5+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
- 3+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
- 3+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
- 1+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
- 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
- Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)
Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).
Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.
Kubernetes, GitOps, and advanced cloud-native delivery patterns.
Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).
Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.
Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt).
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CyberDTP27
As a Senior Consultant in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As a Senior Consultant on the Digital Trust & Privacy team, you will be responsible for:
- Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
- Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
- Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
- Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
- Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
- Ability to mentor and provide clear guidance to others
The team
Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.
Qualifications
Required:
- Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
- 5+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
- 3+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
- 3+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
- 1+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
- 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
- Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)
Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).
Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.
Kubernetes, GitOps, and advanced cloud-native delivery patterns.
Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).
Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.
Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt).
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CyberDTP27