Senior Privacy Risk Management Specialist managing data privacy policies and regulations for RGA. Collaborating with global teams to ensure compliance with data privacy standards and laws.
SF
Hybrid Fraud Risk & Control
Posted 1 hour ago
About the role
- Fraud Analyst preventing, detecting, and responding to fraud while supporting customer security at Fidelity Investments. Lead efforts in fraud risk assessments, analytics, and cross-functional collaboration.
Responsibilities
- Analyze large datasets to detect suspicious activity, fraud patterns, and emerging threats
- Develop or refine fraud detection rules, models, and strategies using analytics, AI/ML, or anomaly detection tools
- Build dashboards, KPIs, and reporting frameworks to monitor fraud trends, losses, customer experience, and control performance
- Partner with data science, product, and technology teams to design and implement scalable fraud controls
- Triage fraud events, conduct root cause analysis, and manage incident response efforts
- Investigate suspicious financial activity, reviewing transactions, behaviors, and digital interactions
- Document cases, gather supporting evidence, and collaborate with law enforcement or regulatory agencies when appropriate
- Conduct fraud risk assessments across products, processes, and business units
- Identify key risks, evaluate controls, and document risk/control statements
- Recommend enhancements to policies, processes, and controls to reduce fraud exposure
- Provide fraud subject matter expertise to partners across product, engineering, legal, compliance, cybersecurity, analytics, and operations
- Influence strategic initiatives by advising on fraud risk considerations, control design, and implementation requirements
- Communicate findings, insights, and recommendations to stakeholders and senior leadership
Requirements
- Bachelor’s degree in finance, business, economics, data science, cybersecurity, or related field
- 2–12+ years of fraud, risk management, compliance, audit, cybersecurity, or financial services experience (level dependent)
- Experience with fraud analytics, risk assessments, investigations, or fraud control design
- Familiarity with fraud risks across digital channels, payments, account onboarding, authentication, or card programs
- Hands on experience with analytics tools (e.g., Python, SQL) is a plus and may be required for technical roles
- Understanding of fraud detection technologies, behavioral analytics, anomaly detection, or machine learning based solutions
- Knowledge of fraud trends, regulatory expectations, and industry best practices
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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