Senior Risk Prevention Analyst - Premier

Overview

This role supports fraud detection and prevention for financial institutions and internal teams. Responsibilities include performing operational and technical risk assessments using fraud mitigation tools, developing and monitoring fraud mitigation strategies (including AI/analytics), and resolving complex service issues through escalations.

Responsibilities

• Develop and implement fraud strategies leveraging transaction data (credit/debit cards), machine learning models, and advanced analytics to mitigate fraud losses and maintain customer experience.
• Manage and optimize existing strategies to control risks related to first-party and third-party fraud; design and test risk and customer experience trade-offs.
• Coordinate the Risk Analytics team’s tasks to ensure adherence to established turnaround times and SLAs; manage team projects and ensure quality of team outputs.
• Resolve complex service issues by responding to escalation calls and other department personnel.
• Maintain awareness of client fraud trends and recommend internal procedure changes to improve efficiency.
• Act as a subject matter expert during fraud incidents, investigations, and client presentations.
• Apply advanced analytical techniques to solve medium to large-scale business problems impacting current and/or future business strategy.
• Maintain productive relationships with internal stakeholders (including Fraud Operations, Risk Management, Product, Retail, and Finance) and external vendors.
• Create and deliver BI reporting for senior leadership, boards, and examiners.
• Work with a designated client list to ensure efficient fraud mitigation through communication channels such as calls and emails.
• Participate in cross-functional discussions to understand and collaborate on business objectives and influence solution strategies.
• Translate recommendations into communication materials for peer review and for mid-to-upper-level management.
• Use visualization techniques to communicate insights clearly for less technical audiences.
• Continually supervise workflow to ensure time-sensitive functions meet department standards.
• Advise internal contacts on sensitive issues and recommend client procedures and new product developments.
• Manage process documentation and communication with the team and appropriate external parties.
• Identify and gather relevant, high-quality data sources required to address problems, using testing and exploratory data analysis (EDA).
• Integrate/transform disparate data sources and apply appropriate data hygiene techniques.
• Consult clients and internal staff on fraud detection and prevention matters, inquiries, and solutions.
• Write rules, build custom solutions for clients, and monitor fraud for a client group.
• Identify risk exposure associated with fraud trends that may cause financial losses and poor member experience, and determine whether mitigation measures are necessary.
• Monitor and analyze portfolio performance at a granular segment level on an ongoing basis.
• Identify trends and perform root-cause analysis to isolate key performance drivers and develop fraud defenses using a data-driven approach.
• Collaborate with internal teams to serve as a client advocate for fraud and risk items and special projects or mitigations.
• Report identified risks to the appropriate team and/or management.
• Manage, monitor, and report risks within the scope of the work area, including Information Security risks.
• Provide regular and reliable attendance; some on-call work is required.
• Maintain availability for early/late hours and weekends to support fraud monitoring or mitigation.
• Perform other duties as assigned.

Qualifications

• Bachelor’s degree in Business, Statistics, Mathematics, Computer Science, Engineering, Economics, or related field, or a combination of education and experience required.
• Seven (7) years within the financial service industry required.
• Seven (7) 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, with 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 communication skills, including ability to communicate technical subject matter clearly and succinctly to team members and financial institutions.
• Ability to synthesize complex data into actionable insights.
• Project management experience preferred.

Compensation & Benefits

• Salary range: $67,700.00 - $86,300.00 - $104,900.00
• Hiring range is typically between the minimum and midpoint of the posted salary range; actual compensation may vary based on experience, skills, qualifications, education, internal equity, and business/budget considerations.

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.

Additional Information

• This role is currently not eligible for sponsorship.
• Regular and reliable attendance is required; some on-call work is required.
• Equal Opportunity Employer.
• E-Verify employer.