Senior Risk Prevention Analyst - Overnight shift

Velera

8d•$67,700 - $104,900•Remote

About The Position

The Senior Risk Prevention Analyst provides operational and technical risk assessments using fraud mitigation tools, advanced analytics, and AI to support fraud strategies, call queue management, monitoring, and performance improvement. The analyst supports clients and internal teams with fraud detection and prevention inquiries, resolves complex escalations, and monitors workflows against service standards. The role provides timely fraud analysis for financial institutions, develops rules and custom client solutions, monitors assigned portfolios, identifies risk exposure, and recommends mitigation strategies. It also coordinates with senior leaders at financial institutions and Velera, FDWC, service centers, internal teams, and third-party vendors, and provides overnight fraud monitoring, risk analytics, and client support. The role develops and optimizes fraud strategies using transaction data, machine learning, and analytics, balancing fraud loss prevention with customer experience. It coordinates risk analytics tasks and projects, monitors service levels and output quality, analyzes portfolio performance and trends, conducts root-cause analysis, and creates data-driven fraud defenses. The analyst also consults with clients and staff, supports fraud incidents and investigations, prepares business intelligence reporting and presentations, and communicates analytical findings to technical and nontechnical audiences. This position works a fixed overnight schedule Monday through Friday, 10:00 PM to 7:00 AM Eastern Time. Velera describes its environment as remote-first and flexible.

Requirements

Bachelor's degree in Business, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field, or an equivalent combination of education and experience.
Seven years within the financial services industry.
Seven years of professional experience in risk analytics, fraud mitigation, and/or fraud services.
Experience with Fraud Detection Work Center (FDWC) and/or FDR systems.
Deep experience with fraud detection strategies, rules tuning, and fraud modeling.
Strong proficiency with SQL and the ability to analyze large, complex datasets and derive actionable insights.
Strong understanding of fraud metrics, forecasting methods, and false-positive/true-fraud tradeoffs.
Strong analytical, problem-solving, and communication skills, including the ability to synthesize complex data into actionable insights and explain technical subject matter clearly and succinctly.
Ability to work independently and make sound risk decisions during overnight hours while managing escalations and time-sensitive fraud events.
Ability to work a fixed overnight schedule Monday through Friday, 10:00 PM to 7:00 AM Eastern Time.

Nice To Haves

Experience with fraud orchestration and decisioning tools such as DefenseEdge, Falcon, Advance Defense, or Fraud Navigator.
Knowledge of payments processing systems.
Project management experience.

Responsibilities

Develop fraud strategies using transaction data, machine learning, and analytics to reduce losses while maintaining customer experience.
Manage and optimize fraud strategies, balancing risk control with customer experience.
Coordinate Risk Analytics tasks and projects, including service-level agreements, turnaround times, and output quality.
Resolve complex service escalations from calls and internal partners.
Monitor client fraud trends and recommend procedural improvements.
Serve as a fraud subject matter expert for incidents, investigations, and client presentations.
Apply advanced analytics to business problems that affect current or future strategy.
Maintain productive relationships with internal stakeholders and external vendors.
Create business intelligence reporting for senior leadership, boards, and examiners.
Partner with assigned clients by phone and email to support effective fraud mitigation.
Use business, analytical, and technical expertise to shape cross-functional solution strategies.
Present recommendations clearly to colleagues, peer reviewers, and mid-to-upper-level management; use visualizations to explain analytical findings to nontechnical audiences.
Monitor department workflow to ensure time-sensitive work meets standards.
Advise internal contacts on sensitive issues, client procedures, and product enhancements.
Manage process documentation and communications with internal and external parties.
Identify quality data sources for business questions and support testing or exploratory analysis; integrate, transform, and cleanse data from multiple sources.
Consult clients and staff on fraud prevention, write rules, build custom solutions, and monitor assigned client groups.
Identify fraud-related risk exposure and determine needed mitigation measures.
Monitor portfolio performance, identify trends, conduct root-cause analysis, and develop data-driven fraud defenses.
Collaborate with internal teams as a client advocate for fraud and risk initiatives.
Report identified risks to the appropriate team or management.
Manage, monitor, and report work-area risks, including Information Security risks.
Perform other duties as assigned.