• Use SQL and other analytical tools to conduct in-depth analysis of Mercury’s customers, transactions, alerts, TM rules, risk ratings, and more. • Use data-driven methods to improve, design, implement, and maintain Mercury’s FCC models, including transaction monitoring, sanctions screening, customer risk scoring, and relevant alert models. • Develop bespoke transaction monitoring rules designed to address Mercury’s specific AML risk. • Partner with Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks. • Know how to tell stories with data, enabling people to understand the output and meaning of analytics activities in a clear, compelling manner. • Understand both the what and the why of FCC analytics – what are we looking for and why does it matter. • Develop and maintain detailed documentation on the configuration of FCC models – scenarios, thresholds, segments, tuning, etc. – and any changes made to those configurations over time. • Assist with evaluating and tuning existing detection models and rules to reduce false positives while maintaining regulatory rigor. • Develop data-driven methods to identify new typologies, emerging risks, and evolving financial crime trends. • Partner with Model Risk Management to support validation and performance monitoring of models to ensure compliance with internal and regulatory standards.

• Develops and delivers technical talent in a research, technology or product development environment. • Directly manages the resources that maximize workgroup productivity in support of business needs. • Implements near term business strategies with a focus on execution. • Maintains strong working relationships with a wide variety of stakeholders.

• Discovering, understanding, overviewing, and proposing solutions to clients’ business problems that can be solved on the basis of data analytics and visualization • Assessing, coordinating the clients dashboarding requirements, and proactively proposing dashboard, KPI and information hierarchy that fits the business questions • Designing and developing executive and tactical (rarely operational) dashboards, considering best practices of data visualization and the specific needs of the client • Enhance our Clients’ reporting capabilities through reporting governance and knowledge transfer of best practices • Through data analysis uncover business opportunities and problems followed by formulating and conveying recommendations • Supporting of data analysis projects with the presentation of the results of exploratory analyses and the visual presentation of data analysis results • Cooperating with colleagues form different areas, like data engineers, analytics engineers and data scientists depending on the content of the project and the composition of the project team • Creating the semantic models behind the dashboard as needed • Supporting the team in relation to the development of the professional knowledge base

• Partner with Marketing leadership to define and measure success on high impact growth initiatives for both MetaMask and Linea • Coach, mentor and manage 1-2 direct reports ensuring they are set up for success in their respective roles • Prepare both recurring and ad hoc reports and presentations for senior leadership, including the Chief Marketing Officer, and leverage your data visualization and storytelling skills to influence decision making. • Work across our Marketing stack - including but not limited Google Analytics, Brandwatch, Segment, Mixpanel, dbt, Cube, Preset and HubSpot - to make sure stakeholders have access to the information and feedback they need to optimize owned, earned, and paid media campaigns • Accelerate execution against our attribution and marketing performance measurement roadmap and foster data-driven decision making culture throughout the Marketing org • Proactively identify opportunities to improve the return on marketing investments, providing actionable recommendations to key decision makers and following up to measure the impact of your recommendations. • Design and implement process and tooling improvement, taking advantage of the latest in LLMs and agentic frameworks, to improve collaboration in a virtual environment and increase team productivity