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Senior Risk Prevention Analyst

Senior Risk Prevention Analyst

VeleraBronx, NY, US
1 day ago
Job type
  • Full-time
Job description

Join The People Helping People

Velera is the nation's premier payments credit union service organization (CUSO) and an integrated fintech solutions provider. The company serves more than 4,000 financial institutions throughout North America, operating with velocity to help our clients keep pace with the rapid momentum of change and fuel growth in the new era of financial services. Our purpose : We accelerate partners' success through innovative financial technology solutions and inspired service.

The Opportunity

The Senior Risk Prevention Analyst is responsible for providing operational and technical risk assessments leveraging fraud mitigation tools, focusing on analysis, design, and artificial intelligence (AI) technology associated with fraud mitigation strategies, call queue creation, monitoring, support, and management using quantitative methods to review data and increase efficiency, productivity, and effectiveness. Seeking a skilled Senior Risk Analyst who can support external clients and internal staff on fraud detection and prevention matters, inquiries, and solutions to meet client and business needs. Resolve complex service issues by responding to escalation calls and other department personnel. Continually supervise department workflow to ensure time-sensitive functions are meeting department standards. The main objective of this position is to ensure timely analysis of all fraud situations affecting our financial institutions by using effective analysis and strategies to minimize fraud losses. Additionally, the role involves writing rules and creating custom solutions for clients, monitoring fraud for their client group, identifying risk exposure based on fraud trends and data, and determining mitigation measures. This role involves direct interaction with senior-level management at the financial institution and within Velera and regular coordination with the Fraud Detection Work Center (FDWC), Velera Service Centers, multiple internal departments, and 3rd party vendor personnel.

Day in the Life

  • Develop and implement fraud strategies leveraging transaction data (credit / debit cards), machine learning models and advanced analytics tools to mitigate fraud losses and maintain superior customer experience.
  • Manage and optimize existing strategies effectively controlling risks due to first party and third-party fraud. Design, tests and understand the risk and customer experience trade-offs.
  • Coordinate the Risk Analytics team's tasks and ensure adherence to established turnaround times and SLAs; manage projects assigned to the team; Ensure quality of all team outputs.
  • Resolve complex service issues by responding to escalation calls and other department personnel.
  • Maintain awareness of member client fraud trends and suggest internal procedure changes to Risk Analytics Manager to remain efficient.
  • Acts as a subject matter expert during fraud incidents, investigations and client presentation.
  • Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and / or future business strategy.
  • Maintains productive relationships with all internal stakeholders including Fraud Operations, Risk Management, Product, Retail, Finance as well as external vendors.
  • Create and deliver BI reporting to develop thorough reporting for senior leadership, boards, and examiners.
  • Work closely with a designated client list to ensure efficient and effective fraud mitigation through various communication channels such as calls and emails.
  • Uses advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
  • Translates recommendations into communication materials to present to colleagues for peer review and mid-to-upper-level management effectively. Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
  • Continually supervise department 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 both within the team and with the appropriate external parties.
  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA). Integrates / transforms disparate data sources and resolves appropriate data hygiene techniques to apply.
  • Consults external clients and internal staff on fraud detection and prevention matters, inquiries, and solutions to meet client and business needs. Writes rules, builds custom solutions for clients, and monitors fraud for their client group.
  • Identifies risk exposure associated with fraud trends that have the potential to cause financial losses and poor member experience in client portfolios to determine if mitigation measures are necessary.
  • Monitor and analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance drivers and combine the insights with a data-driven approach to develop fraud defenses. Collaborate with other internal teams to serve as client advocate for fraud and risk items and special projects or mitigations.
  • Responsible for reporting risks identified to the appropriate team and / or management. Additionally, responsible for managing, monitoring and reporting risks within your work area's scope, including, but not limited to Information Security risks.
  • Regular and reliable attendance is required. Some on-call work is required. This position may require early / late hours and availability during weekends to ensure client support on fraud monitoring or mitigation.
  • Bring innovative / out of the box thinking to solve problems and make recommendations.
  • Functional knowledge of common fraud patterns with endless curiosity to seek out anomalies and get to the core of a problem.
  • The ability to prioritize and make quick decisions under tight deadlines.
  • Remain current with industry and client fraud trends.
  • 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.
  • 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. 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 the ability to synthesize complex data into actionable insights.
  • Strong communication skills ability to communicate technical subject matter clearly and succinctly to other team members and financial institutions.
  • Project management experience preferred.
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