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Senior Analyst - Fraud Operations Strategy and Program Management
Senior Analyst - Fraud Operations Strategy and Program ManagementLPL Financial • Tempe, AZ, US
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Senior Analyst - Fraud Operations Strategy and Program Management

Senior Analyst - Fraud Operations Strategy and Program Management

LPL Financial • Tempe, AZ, US
30+ days ago
Job type
  • Full-time
Job description

Senior Analyst - Fraud Operations Strategy And Program Management

At LPL, we are dedicated to safeguarding our clients and advisors through proactive fraud risk management. As Senior Analyst, Fraud Operations Strategy and Program Management, you will report to the Manager Fraud Operations Strategy and play a key role in developing, executing, and continuously improving fraud prevention and detection strategies across LPL's platforms. This position involves collaboration with cross-functional teams to mitigate fraud risks, enhance program efficiency, and ensure compliance with industry standards and regulatory requirements. You will assist in developing reoccurring metric dashboards, presentations, risk assessments, and the ongoing training and development of fraud communications and alerts and will assist the team or other business units on project work, partner with second line, technology, and information security groups, to review regulatory changes assessing impacts to LPL Financial as it relates to money movement and fraud.

Key Responsibilities

  • Responsible for end-to-end development of fraud data models, monitoring fraud trends, analyzing KPIs, and recommending improvements based on data insights.
  • Develop and implement comprehensive fraud prevention and detection strategies aligned with organizational goals and lead cross-departmental initiatives to embed these capabilities into products and services.
  • Monitor existing fraud detection models for performance, false positives, and risk exposure, suggesting iterative refinements as needed.
  • Provide strategic insights and actionable recommendations to leadership by evaluating fraud metrics, customer behavior, and operational gaps, and track the impact of fraud strategy changes on business performance, measuring ROI and recommending adjustments.
  • Build predictive models and develop logic for automation and scoring of high-risk behavior across multiple fraud typologies.
  • Interface with Technology, Information Security, product teams, and other fraud-related groups to align model deployment and systematic fraud mitigation, and engage with internal teams and external partners to align on fraud strategy objectives.
  • Lead ad hoc analytics projects and drive innovation through dashboarding, segmentation, and data storytelling, preparing dashboards, reports, and presentations for stakeholders and executives.
  • Identify necessary data sources and design robust pipelines and reporting layers for ongoing monitoring.
  • Serve as a central point for cross-functional collaboration between Fraud Ops, Product, Technology, and Information Security on all data-related initiatives.
  • Conduct periodic and ad hoc system testing of alert strategy and technology updates, and identify opportunities for process improvements and technological advancements in fraud detection.
  • Manage project plans, timelines, and reporting to ensure timely achievement of milestones.
  • Coordinate with product development teams to incorporate fraud risk considerations into new offerings.
  • Lead meetings and communicate progress to senior leadership and external bodies.
  • Ensure compliance with regulatory requirements and industry standards through policy development and audits.
  • Stay informed on emerging fraud trends, tools, and technologies, and champion the adoption of advanced detection methodologies such as machine learning and behavioral analytics.

Required Qualifications :

  • 3+ years of experience in fraud prevention, detection, or program management within financial services (broker-dealer) or technology sectors.
  • Deep understanding of various fraud types including account takeover, payment fraud (e.g. ACH fraud, wire fraud, credit / debit card fraud, check fraud), synthetic identity, and insider fraud and collusion.
  • Strong understanding of fraud detection and prevention methodologies, including behavioral analytics and machine learning models.
  • Experience in coordinating cross-functional teams and managing stakeholder expectations.
  • Required Technical Skills :

  • Proficiency in data analytics tools such as SQL, Tableau, Power BI, or similar platforms.
  • Experience with scripting languages like Python, R, or SAS for analytics and fraud detection.
  • Knowledge of fraud detection platforms (e.g., Actimize, ThreatMetrix or similar solutions).
  • Familiarity with API integrations and database management (Oracle, MySQL).
  • Preferred Qualifications :

  • Bachelor's degree in Business, Risk Management, Data Analytics, or related fields.
  • Professional licenses / certifications such as FINRA S99, Certified Fraud Examiner ("CFE") or Certified Anti-Money Laundering Specialist ("CAMS") are preferred.
  • Experience with financial products, digital banking, and payments.
  • Experience with Equifax, LexisNexis, TransUnion or other information security providers a plus.
  • High level of analytical skills and problem-solving.
  • Ability to multi-task, work well under pressure with commitment to deliver under tight deadlines.
  • Working knowledge of regulatory requirements (preferably in Cyber, AML / Fraud).
  • Understanding of machine learning concepts and their application in fraud prevention.
  • Experience with project management tools like Jira and Confluence.
  • Basic cybersecurity principles relevant to fraud risk management.
  • Proficient in MS Office (Word, Access, Excel, PowerPoint, Visio)
  • Experience in cloud and data base management and query.
  • Work in a collaborative team environment.
  • Excellent written and verbal communication skills with the ability to customize and present information to a variety of audience.
  • Strong judgment and experience with escalation of matters and recommended solutions.
  • Able to adapt to changing priorities with attention to detail and quality assurance.
  • Pay Range : $65,888-$109,813 / year Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

    LPL Financial Holdings Inc. (Nasdaq : LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace. LPL supports over 29,000 financial advisors and the wealth-management practices of 1,100 financial institution, servicing and custodying approximately $1.9 trillion in brokerage and advisory assets on behalf of approximately 7 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.

    At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.

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    Fraud Analyst • Tempe, AZ, US

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