Risk Prevention Analyst- Remote

Overview

The Risk Prevention Analyst provides operational risk assessments by leveraging fraud mitigation tools and data-driven quantitative methods. This role focuses on analysis, strategy design, and artificial intelligence (AI) technology related to fraud mitigation, including call queue creation, monitoring, support, and management. The analyst will support external clients and internal staff on fraud detection and prevention matters, including inquiries and solution development.

Responsibilities

• Develop and implement fraud strategies using transaction data (credit/debit cards), machine learning models, and advanced analytics tools to mitigate fraud losses while maintaining customer experience.
• Manage and optimize existing fraud strategies to control risks from first-party and third-party fraud; design and test risk and customer experience trade-offs.
• Coordinate Fraud Analytics team tasks to meet turnaround times and SLAs; manage assigned projects and ensure the quality of team outputs.
• Monitor and maintain awareness of member/client fraud trends; recommend internal procedure changes to improve efficiency.
• Supervise department workflow to ensure time-sensitive functions meet department standards.
• Maintain productive relationships with internal stakeholders (including Fraud Operations, Risk Management, Product, Retail, Finance) and external vendors.
• Advise internal contacts on sensitive issues and recommend client procedures and new product developments.
• Create and deliver BI reporting for senior leadership, boards, and examiners.
• Partner with assigned clients to ensure efficient and effective fraud mitigation through communication channels such as calls and emails.
• Use analytical and technical expertise to participate in cross-functional discussions, supporting business objectives and influencing solution strategies.
• Translate recommendations into communication materials for peer review and mid-to-upper-level management; incorporate visualization techniques to support analysis for less technical audiences.
• Identify and gather relevant, high-quality data sources; perform testing and exploratory data analysis (EDA); integrate and transform disparate data sources; apply appropriate data hygiene techniques.
• Consult with clients and internal staff on fraud detection and prevention needs; write rules, build custom solutions for clients, and monitor fraud for assigned client groups.
• Identify risk exposure tied to fraud trends that may cause financial losses and poor member experience, and determine whether mitigation measures are necessary.
• Monitor and analyze portfolio performance continuously; identify trends and conduct root-cause analysis to isolate key performance drivers.
• Use fraud prevention tools to consult on clients’ fraud and risk goals; review key fraud performance metrics; recommend strategic means to minimize risk exposure and improve member experience.
• Collaborate with internal teams to serve as a client advocate for fraud and risk items, and support special projects or mitigations.
• Ensure risks associated with business activities are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
• Report risks identified to the appropriate team and/or management.
• Manage, monitor, and report risks within the scope of the work area, including Information Security risks.
• Maintain regular and reliable attendance; some on-call work is required.
• This position may require early/late hours and availability during weekends to ensure client support for fraud monitoring or mitigation.
• Perform other duties as assigned.

Qualifications

• Bachelor’s degree in Business, Statistics, Mathematics, Computer Science, Engineering, or Economics, or related field, or combination of education and experience required.
• Five (5) years within the financial service industry required.
• Three (3) years professional experience in risk analytics, mitigating risk and/or fraud services required.
• Payments processing system knowledge preferred.
• Experience with, , Fraud Detection Work Center and/or FDR system experience required.
• Strong analytical and problem-solving skills, including deep experience working with fraud detection strategies, rules tuning, and fraud modeling.
• Strong proficiency with SQL; ability to analyze large, complex datasets and derive actionable insights.
• Experience with fraud orchestration and decisioning tools (e.g., DefenseEdge, Falcon, Advance Defense, Fraud Navigator) preferred.
• Strong understanding of fraud metrics, forecasting methods, and false positive/true fraud tradeoffs.
• Excellent problem-solving skills with ability to synthesize complex data into actionable insights.
• Strong communication skills, including the ability to communicate technical subject matter clearly and succinctly to team members and financial institutions.
• Project management experience preferred.

Preferred Qualifications

• Payments processing system knowledge
• Experience with fraud orchestration and decisioning tools (e.g., DefenseEdge, Falcon, Advance Defense, Fraud Navigator)
• Project management experience

Compensation & Benefits

• Pay: $60,500.00 - $77,100.00
• Actual Pay will be adjusted based on experience and other job-related factors permitted by law.

Benefits include:

• Competitive wages
• Medical with telemedicine
• Dental and Vision
• Basic and Optional Life Insurance
• Paid Time Off (PTO)
• Maternity, Parental, Family Care
• Community Volunteer Time Off
• 12 Paid Holidays
• Company Paid Disability Insurance
• 401k (with employer match)
• Health Savings Accounts (HSA) with company provided contributions
• Flexible Spending Accounts (FSA)
• Supplemental Insurance
• Mental Health and Well-being: Employee Assistance Program (EAP)
• Tuition Reimbursement
• Wellness program
• Benefits are subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions

Location

Remote-first, flexible environment (location not otherwise specified).

Additional Information

• Regular on-call work is required.
• This role is currently not eligible for sponsorship.
• Equal opportunity employer; applicants are considered without regard to protected characteristics under federal, state, or local law.