• Designing and implementing graph algorithms that analyze large cryptocurrency transaction networks at multi-blockchain scale • Researching new graph-native technology to evaluate benefit to data science and data engineering teams at TRM • Working on a highly cross-functional team that collaborates with cryptocurrency investigators to identify key user stories and requirements for new graph algorithms and features • Understanding and refining TRM’s risk models which analyze large networks of cryptocurrency transactions to assign risk scores to addresses • Communicating complex implementation details to a variety of audiences from investigators and customer success stakeholders to data engineers and data scientists • Integrating with a diverse set of data inputs ranging from raw blockchain data to complex model outputs

• Develops, supports and implements data services for multiple applications to meet business objectives and user requirements • Uses technical knowledge and industry experience to design, build and maintain technology solutions • Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development • Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow • Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability • Implements data migration and transformation activities/processes to ensure the accuracy and security of data solutions

• Lead a small team in power systems modeling and analytics for utility clients • Mentor and train less experienced engineers in power engineering theories and principles • Manage project tasks such as forecasting, tracking hours, budgeting, milestones, scheduling meetings, delegating tasks • Interact with clients to demonstrate expertise and attract new business • Create and maintain transmission short circuit and power flow models in programs like CAPE, ASPEN, PSSE, and PSCAD • Perform analyses such as Arc Flash, voltage imbalance, and thermal ampacity ratings • Write thorough technical reports summarizing findings • Develop automation scripts to improve task efficiency and accuracy using languages such as Python, SQL, and VBA

• Develop and maintain analytical models, dashboards, and data products • Partner closely with application development, data engineering, and business teams • Deliver scalable, well-governed analytics solutions • Design and develop Power BI reports, dashboards, and semantic data models • Build and maintain statistical models and forecasting tools • Ensure data accuracy and integrity across reporting outputs • Stay current with emerging trends in data science, analytics engineering, and business intelligence tooling.