Overview POSITION OVERVIEW Fidelity National Financial (FNF) is seeking a Senior Fraud Data Analyst to join the Compliance organization’s Fraud Operations function. This role is responsible for supporting the intake, documentation, and analysis of wire fraud events (both attempted and confirmed) ensuring incidents are captured accurately and consistently to enable downstream analytics, detection, response, and regulatory reporting. As a key member of the Fraud Operations team, this individual will work cross-functionally with Information Security, Technology, Operations, and business units to manage fraud event intake, correlate signals across multiple systems, identify discrepancies, and support post-incident reviews. The role also helps ensure that insights and lessons learned from incidents are fed back into fraud detection processes, operational controls, and training programs as part of a structured continuous improvement cycle. The ideal candidate is highly disciplined, detail-oriented, and driven by measurable operational outcomes. Success in this role is demonstrated through improvements in data quality, intake accuracy, fraud detection insights, and operational effectiveness across the fraud lifecycle. LOCATION - This role sits 100% remote. DUTIES & RESPONSIBILITIES Fraud Data Integration & Signal Correlation - Aggregate, transform, and analyze data from multiple systems including Proofpoint, escrow platforms, banking data, and internal wire-related sources. - Correlate fraud-related signals across platforms to identify patterns, systemic risks, and emerging threat vectors. - Maintain consistent taxonomies, metadata standards, and structured analytic methodologies to ensure reliable reporting and analysis. Fraud Detection & Intelligence Enablement - Generate actionable insights that improve fraud monitoring, triage, detection capabilities, and overall fraud threat visibility. - Identify opportunities to strengthen internal controls and improve the security of the wire instruction lifecycle. - Partner with Fraud Operations, Compliance, Information Security, and external intelligence sources to enhance detection capabilities and threat intelligence. Compliance Reporting & Analytics - Produce compliance-ready reporting including dashboards, risk exposure reporting, Key Risk Indicators (KRIs), performance indicators, and fraud trend analyses. - Develop structured reports supporting investigations, regulatory reporting, and audit defensibility. - Ensure consistent and high-quality metadata to support enterprise-level fraud reporting and lifecycle visibility. Operational Enablement & Cross-Functional Collaboration - Collaborate with Fraud Operations, intake teams, and technology partners to translate analytics into operational improvements. - Provide analytical insights to support process hardening, system controls, and fraud prevention initiatives. - Support coordination with external partners including law enforcement, banking institutions, and cyber intelligence organizations. MINIMUM REQUIREMENTS - Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Finance, or a related field, or equivalent combination of education and professional experience. - 4+ years of experience working with data analytics, data engineering, fraud analysis, financial crime analytics, or similar analytical roles. - Strong experience working across the full data lifecycle including data preparation, transformation, analysis, and insight generation. - Proficiency with SQL and modern data analysis tools including Excel, Power Query, Power BI, or similar analytics platforms. - Ability to design and work with structured and unstructured datasets, ensuring accuracy, normalization, and analytical readiness. - Demonstrated ability to identify patterns, anomalies, and correlations within large or complex data sets. - Ability to translate complex data findings into clear, actionable insights for technical and non-technical stakeholders. - Strong attention to detail and ability to work effectively in high-stakes operational environments. PREFERRED EXPERIENCE - Experience working with fraud analytics, financial crimes, wire fraud, or cyber fraud environments. - Familiarity with data modeling techniques and scalable data architecture supporting enterprise reporting and analytics. - Experience leveraging AI or machine learning techniques such as classification, anomaly detection, pattern recognition, or predictive modeling within analytics workflows. - Experience developing dashboards, operational metrics, and reporting frameworks supporting compliance, risk, or fraud detection programs. - Experience working cross-functionally with Compliance, Information Security, Operations, and external intelligence partners. - Familiarity with enterprise fraud monitoring platforms, email security tools (e.g., Proofpoint), banking transaction data, or escrow platforms. - Experience supporting incident response, fraud investigations, or detection tuning initiatives. COMPENSATION & BENEFITS This position has the potential to earn compensation in the range of $110,000 - $150,000 annually based on location and job-related factors such as skillset and experience. Actual rate may vary within the range provided, depending on a number of factors, including skillset, experience and location. The base compensation is one component of the total rewards package offered to our employees, including optional health and welfare insurance (medical/dental/vision/life/disability); paid holidays, vacation, and sick time off; and matching 401(k) plan and matching employee stock purchase plan.

• Content characterization of data; gathering key insights derived from different views and data combinations • Emphasize data from architecture, engineering and construction designs • Prototype and measure the quality and effectiveness of new data aggregations and enrichments • Build reporting to measure progress in key initiatives and improve accessibility of general insights • Leverage Data Mining techniques and analytics peers in teams around the company to develop new data sources and potential business insights • Document and organize work to provide transparency

Role Description This role is ideal for a data-driven professional who enjoys transforming complex information into actionable insights that shape business decisions. The Analyst, Insights & Analytics will partner across teams to deepen audience understanding, measure campaign performance, and inform strategies that drive growth and engagement. This position involves both quantitative and qualitative research, using first-party data, surveys, and proprietary panels to generate clear, impactful narratives. The successful candidate will contribute to building research products, strengthening the insights practice, and enabling teams to make data-informed decisions. Working in a fast-paced, collaborative environment, this role offers exposure to diverse business functions and the opportunity to influence how audiences are understood and engaged. - Conduct audience and market analysis across multiple franchises and touchpoints using mixed-method research approaches. - Execute end-to-end client research projects, including survey design, data collection, analysis, and reporting. - Transform data into compelling narratives and actionable insights for sales, marketing, and editorial teams. - Maintain and grow proprietary insights panels, ensuring data quality and participant engagement. - Analyze first-party data from surveys, ad performance, and subscriber behavior to answer key business questions. - Build dashboards and reports to monitor audience trends, campaign performance, and franchise health. - Collaborate cross-functionally to inform revenue strategy, product development, and advertiser programs. Qualifications - 2+ years of experience in research or analytics at a digital publisher, agency, or similar environment. - Strong knowledge of survey design, programming, distribution, and analysis methodologies. - Proficient in Excel, Google Sheets, and BI tools; solid understanding of basic statistics and research methods. - Excellent written and verbal communication skills; comfortable presenting insights to both internal teams and clients. - Demonstrated ability to craft clear, data-driven narratives to support business decisions. - Highly organized, self-directed, and capable of managing multiple projects simultaneously. - Client-focused mindset with strategic thinking and problem-solving skills. - Familiarity with audience analytics, ad performance measurement, and media research preferred. Requirements - Competitive salary range ($75,000–$80,000) with total compensation including perks. - Health, dental, and vision insurance plans. - 401(k) with employer match. - Paid parental leave and family planning support. - Mental health benefits and wellness resources. - Annual learning credits to support personal and professional growth. - Flexible work environment with collaborative, inclusive company culture.

• Assist in developing and maintaining reports and dashboards • Write SQL queries to extract and analyze data • Support data validation and quality checks • Document data definitions, reporting logic, and analytical processes • Collaborate with analysts and stakeholders to answer business questions • Present findings