• Identify and analyze new and emerging patterns of fraud and work with internal and external stakeholders to implement new controls. • Assess fraud prevention and detection controls, processes and technology and define and create long term strategies to ensure adequate solutions are in place to mitigate fraud loss without negative impact to the customer experience. • Interface with internal technology team and third-party service provider to drive platform enhancements including enhancements to advanced analytics and machine learning capabilities. • Build and sustain relationships with subject matter experts in state, local, and federal law enforcement as well as partners. • Using automated platform and various reporting mechanisms, monitor accounts and transactions for fraudulent activity through anomalies in behavior and pattern recognition. • Work with cross-functional teams across Ascensus for collaboration on fraud risks and investigations and communicate findings with internal and external stakeholders. • Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. • Assist with other tasks and projects as assigned

• Develop and implement a comprehensive risk detection strategy that aligns with organizational goals and regulatory requirements. • Identify, assess, and prioritize risk factors that could impact operational performance and strategic objectives. • Act with a sense of urgency to implement strategic initiatives. • Work closely with Operations, Product, Analytics, and Data Science teams to create efficient processes for risk identification and mitigation. • Ensure alignment across departments for seamless risk response and continuous improvement. • Utilize 3rd party, analytics and data science tools to enhance risk detection capabilities. • Serve as singular point of contact for the development of predictive models, machine learning algorithms, and dashboards to monitor potential risks in real time. • Lead periodic risk assessments across the entire customer journey and create detailed reports that offer actionable insights. • Present findings to executive leadership and stakeholders, ensuring data-driven decision-making on risk management strategies. • Ensure risk detection frameworks comply with all relevant regulatory requirements. • Collaborate with Regulatory and Compliance departments to stay updated on emerging regulations and incorporate them into the risk management strategy. • Lead and develop a team of risk analysts, fostering a collaborative environment that encourages innovation in risk detection.

• Providing strategic, technical, and business development leadership in human health and ecological risk assessment • Leading clients through various Federal and State risk assessment and evaluation programs • Establishing strategy and identifying business opportunities • Addressing clients’ issues and growing the service line • Serving as a touch point for risk assessment services • Acting as a resource to remediation teams

• Play a pivotal role in maturing data governance framework • Collaborate with cross-functional technology teams and business domain owners • Define Data Governance Epic Scope and Identify new CDEs • Implement Data Quality Rules, Reconciliation Controls and corresponding Quality Dashboards • Drive the rollout of new, automated data governance practices • Mentor and lead a team of 3 Data Governance Analysts