Ardent

• Conduct complex financial analysis related to the tracing of fraud proceeds, including money laundering and asset forfeiture investigations. • Analyze bank records, financial transactions, and other financial documentation to identify patterns of illicit activity. • Support large-scale forensic accounting assignments involving federal benefit programs and related fraud investigations. • Trace funds through multi-layered financial transactions across large criminal or civil litigation matters. • Apply advanced financial investigative techniques using commercial databases and other intelligence sources. • Identify, extract, and interpret relevant financial data to support investigative and legal proceedings. • Develop detailed financial reports, summaries, and exhibits to support findings and case development. • Work closely with federal law enforcement, legal teams, and internal stakeholders to support ongoing investigations. • Provide expert-level financial insight in support of fraud detection, money laundering investigations, and asset recovery efforts. • Contribute to case strategy discussions and investigative planning. • Prepare clear, concise, and well-documented financial analysis reports suitable for legal and regulatory use. • Maintain accurate records of analysis, methodologies, and findings in accordance with investigative standards. • Develop visual and written presentations using Excel, PowerPoint, and other analytical tools.

• Design, develop, and maintain scalable ETL/ELT pipelines to support enterprise data integration and analytics. • Ingest, transform, and integrate data from diverse sources, including flat files, JSON, XML, Excel, REST APIs, graph databases, and other structured and unstructured data formats. • Develop and optimize SQL and Python-based data processing solutions to support efficient data ingestion and transformation. • Build and maintain reusable, scalable data workflows that support business intelligence, reporting, and advanced analytics. • Load, manage, and optimize data within modern data platforms, including Databricks Unity Catalog and SQL Server Managed Instances. • Support both batch and streaming data ingestion frameworks. • Implement and maintain modern Lakehouse architecture solutions to improve scalability, performance, and accessibility. • Monitor and optimize database and pipeline performance to ensure efficient processing and storage. • Implement data quality controls to ensure the accuracy, consistency, reliability, and integrity of enterprise data. • Maintain data lineage and metadata to support governance and regulatory compliance. • Apply enterprise data management (EDM) standards and best practices throughout the data lifecycle. • Support data governance initiatives, including documentation, validation, and quality assurance activities. • Collaborate with cross-functional teams, including data analysts, software developers, architects, and business stakeholders, to understand data requirements and deliver effective solutions. • Support analytical environments focused on fraud detection, anomaly detection, financial oversight, and other data-driven initiatives. • Troubleshoot and resolve data pipeline, integration, and performance issues while continuously improving existing processes.

Role Description Ardent is seeking a Senior Investigative Analyst to join our team in Washington, DC . This is an onsite position supporting government benefit fraud investigations and financial crime analysis. The successful candidate will apply advanced analytical techniques to identify fraud patterns, support investigative case development, and produce high-quality reports and referrals for law enforcement and government stakeholders. This role requires strong experience working with both structured and unstructured data, as well as the ability to communicate findings clearly to senior decision-makers. The ideal candidate is detail-oriented, analytically strong, and experienced in supporting complex fraud investigations involving government benefit programs and financial crimes. Responsibilities and Duties - Investigative Analysis & Fraud Detection - Conduct investigative analysis supporting government benefit fraud and financial crime cases. - Analyze structured and unstructured data from public and non-public sources to identify fraud indicators, anomalies, and behavioral patterns. - Apply knowledge of fraud typologies, including identity fraud, eligibility fraud, and organized fraud schemes. - Support case development through detailed analytical findings and investigative insights. - Data Analysis & Tool Utilization - Utilize analytical tools such as SQL, Excel, Neo4j, and i2 Analyst’s Notebook (or comparable link analysis platforms). - Perform link analysis to identify relationships among entities, transactions, and suspicious activity. - Query and manipulate datasets to support investigative hypotheses and case validation. - Reporting & Case Documentation - Prepare investigative reports, case summaries, and referral packages suitable for law enforcement action. - Ensure all findings are clearly documented, well-supported, and professionally presented. - Translate complex data analysis into clear, actionable intelligence products. - Communication & Stakeholder Engagement - Brief findings to senior government stakeholders in both written and verbal formats. - Collaborate with investigative teams, analysts, and government partners to refine case direction. - Support decision-making through clear, concise, and timely analytical reporting. Qualifications - Bachelor's degree in Criminal Justice, Data Analytics, Intelligence Studies, Information Systems, or a related field (or equivalent combination of education and experience). - Minimum of 3 years of professional experience in investigative analysis supporting government benefit fraud or financial crime investigations. - Minimum of 3 years of experience analyzing structured and unstructured data from multiple sources. - Strong understanding of fraud typologies related to government benefit programs, including: - Identity fraud - Eligibility fraud - Organized fraud schemes - Proficiency with analytical tools, including: - SQL - Excel - Neo4j - i2 Analyst’s Notebook or comparable link analysis tools - Minimum of 3 years of experience preparing investigative reports, referral packages, and case summaries for law enforcement use. - Strong written and verbal communication skills, with experience briefing senior government stakeholders. Requirements - Due to the nature of the work we support, all candidates in consideration for this role must be willing to undergo the government issued background investigation process. Benefits - Competitive pay - Comprehensive health coverage - Flexible PTO - Federal holidays off - Tuition reimbursement - Professional development support - Wellness stipends - A culture that values and rewards hard work, dedication, and adaptability Company Description Ardent is an equal opportunity employer. We will not discriminate in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity, gender expression, or any other basis protected by state, local, or federal law.

• Design, develop, and implement graph-based analytics solutions supporting fraud detection and investigative analysis. • Use graph databases and network analysis techniques to identify hidden relationships, patterns, and connections across entities. • Develop graph models representing individuals, organizations, transactions, accounts, programs, and other relevant entities. • Apply graph algorithms involving centrality, community detection, link analysis, path analysis, clustering, and anomaly detection. • Integrate graph analytics with machine learning, statistical analysis, and other advanced analytic methods. • Analyze structured, semi-structured, and unstructured data from public, non-public, and commercial sources. • Support entity resolution, identity matching, relationship mapping, and risk-scoring activities. • Develop and refine fraud-detection models, rules, and investigative use cases. • Collaborate with investigators and analysts to translate operational and investigative needs into graph analytics solutions. • Build visualizations, link charts, dashboards, and other work products that clearly communicate complex relationships. • Support the development, testing, validation, and deployment of graph analytics models and applications. • Evaluate model performance and recommend adjustments to improve accuracy, scalability, and usefulness. • Document methodologies, data sources, assumptions, model designs, findings, and limitations. • Participate in technical reviews, quality-control activities, and project demonstrations. • Present analytical findings and recommendations to technical and non-technical stakeholders. • Support the maintenance and improvement of deployed graph analytics solutions.

• Lead the design, development, testing, validation, and deployment of advanced analytics and machine learning solutions. • Manage analytics projects supporting fraud detection, fraud prevention, waste and abuse identification, and investigative activities. • Develop and evaluate predictive models, anomaly detection methods, risk models, and entity-resolution techniques. • Lead the development of analytics solutions using artificial intelligence, machine learning, natural language processing, graph analytics, and data visualization. • Identify and refine analytics use cases in collaboration with government stakeholders, investigators, and program teams. • Translate business, investigative, and operational requirements into technical analytics solutions. • Lead technical discovery, data assessment, feature development, model selection, and solution design activities. • Evaluate model performance, identify gaps, and recommend refinements or recalibration as needed. • Ensure analytics models and outputs are accurate, explainable, defensible, repeatable, and aligned with project objectives. • Track project progress, risks, issues, dependencies, and quality-control activities. • Conduct technical reviews and quality-control reviews of analytics work products before delivery. • Review code, models, documentation, data transformations, and analytic outputs for accuracy and completeness. • Support the deployment, monitoring, maintenance, and ongoing improvement of analytics models in production environments. • Collaborate with data engineers and data-management teams to support data ingestion, preparation, governance, quality, and lineage. • Develop and maintain technical documentation describing methodologies, data sources, model designs, assumptions, findings, and limitations. • Present analytical findings, technical recommendations, and project updates to technical and non-technical stakeholders. • Provide technical leadership, mentoring, and guidance to data scientists, analysts, and other project personnel.

• support the development, enhancement, and maintenance of enterprise geospatial applications within a federal environment. • responsible for developing web-based GIS applications, dashboards, APIs, and geospatial services that enable users to access, visualize, analyze, and manage geospatial information across the enterprise. • work closely with architects, GIS analysts, data teams, and stakeholders to develop innovative geospatial solutions supporting operational and strategic mission requirements.

• Support the design, modernization, and ongoing enhancement of enterprise geospatial capabilities within a federal environment. • Serve as the technical lead for geospatial architecture initiatives. • Support enterprise GIS strategy, system integration, cloud modernization efforts, and geospatial governance activities. • Design and implement enterprise geospatial solutions that support mission-critical operations, data-driven decision making, and enterprise-wide access to geospatial information. • Collaborate with technical, operational, and business stakeholders to develop innovative GIS capabilities aligned with cloud, cybersecurity, data management, and enterprise architecture objectives.

• Serve as the primary point of contact for geospatial data acquisition and quality management. • Lead efforts for acquiring, validating, and integrating new geospatial datasets. • Develop and enforce QA/QC protocols for data accuracy, metadata, and compliance. • Manage delivery of geospatial data per Government schedules and specifications. • Coordinate high availability and disaster recovery strategies for data systems. • Monitor geospatial systems and implement automated backup and recovery tools. • Oversee access control and Data Use Agreement (DUA) automation and compliance. • Provide 24/7 on-call technical support for incidents and system issues. • Maintain and publish the HIFLD Data Catalog with accurate and updated metadata. • Develop and update SOPs and documentation on data management processes. • Research and apply federal standards and best practices in data governance. • Lead creation of proof-of-concept geospatial products using DHS or GMO platforms. • Prepare white papers with recommendations for improving data processes and tools. • Collaborate with stakeholders on geospatial demonstrations, briefings, and exchanges. • Support software renewals, license management, and interconnectivity agreements.

• Lead the planning, design, execution, and continuous improvement of outreach, engagement, and training activities in support of the DHS Geospatial Management Office (GMO) programs. • Responsible for stakeholder engagement, training development, communications strategy, and ensuring accessibility and compliance of all digital content. • Serve as the primary point of contact for outreach coordination. • Support government-hosted events and manage web and graphic publishing tasks. • Design, develop, and deliver training programs, briefings, and geospatial product demonstrations tailored to stakeholder needs. • Plan and coordinate stakeholder communications, including messaging, strategy, and material preparation. • Ensure compliance with Section 508 accessibility standards and DHS web/graphic publishing guidance. • Provide ongoing customer outreach, respond to inquiries, and facilitate access to geospatial information. • Track and respond to stakeholder needs using automated management systems. • Create, publish, and manage content on program-related websites and digital platforms. • Monitor and enhance stakeholder engagement strategies. • Supervise and provide leadership to junior outreach and training staff.

• Lead the development and refinement of methodologies for geospatial data collection, acquisition, and maintenance ensuring alignment with mission needs. • Manage data intake, prioritize data needs based on use cases from DHS components and Mission Partners, and ensure quality control throughout acquisition and delivery processes. • Maintain and update Standard Operating Procedures (SOPs) related to data acquisition, refresh, quality assurance, and data publishing. • Oversee budget management for data acquisition to secure high-priority and high-value data products. • Define and enforce requirements for geospatial data including accuracy, coverage, resolution, formats, licensing, update frequency, and system compatibility. • Maintain comprehensive lists of data providers and datasets; identify and engage high-quality geospatial data providers. • Utilize professional networks and government guidance to identify potential new data sources and providers. • Manage procurement or production activities to ensure timely delivery of high-quality, licensed geospatial data. • Maintain ongoing communication with data providers regarding data use, dissemination, security, quality, and acceptance criteria. • Negotiate licensing agreements and purchasing options to achieve best value while ensuring compliance with usage permissions. • Provide technical support and oversight to ensure data products meet acceptance criteria and mission requirements. • Facilitate technical demonstrations and presentations of geospatial data and analyses for stakeholders and Mission Partners. • Support integration of data products into government systems and ensure seamless coordination with other program activities. • Lead QA/QC efforts, including data review, validation, and application of standardized checklists to ensure accuracy and consistency. • Manage feedback loops with data users and providers to identify and implement content improvements and resolve data quality issues. • Develop and maintain geospatial metadata, ensuring completeness, consistency, and usability for downstream applications. • Automate data processing workflows where feasible, maintaining documentation and tools for reproducible data review. • Oversee data registration, cataloging, publication, hosting, and federation within government geospatial platforms. • Ensure compliance with applicable standards and regulations (e.g., FGDC, ISO) and apply best practices in geospatial data lifecycle management. • Monitor and analyze performance metrics and user feedback to continuously improve data acquisition and management processes. • Maintain documentation of all processes, data integration plans, and QA/QC plans to support program transparency and continuous improvement. • Inform government stakeholders promptly of any issues impacting cost, schedule, or performance.