• Support the implementation and administration of Transact Campus’s BSA/AML compliance program • Coordinate and execute program revisions and enhancements with the Transact Campus Legal & Compliance Department • Monitor daily and weekly transaction alerts using BSA/AML software tools; conduct timely reviews and investigations of suspicious activity • Conduct customer due diligence and enhanced due diligence risk assessments as applicable for new clients, industries, products and services • Advise the Director on new client acceptance or denial • Prepare and file required regulatory reports such as Suspicious Activity Reports (SARs) and Currency Transaction Reports (CTRs) according to applicable law • Assist the Director and compliance team in investigation efforts, regulatory exam preparations, and audit responses • Collaborate cross-functionally with banking operations and legal and compliance teams to maintain sound risk control and compliance processes • Identify areas for process improvement and contribute to risk assessments and compliance training efforts • Maintain current knowledge of regulatory changes impacting BSA/AML requirements for non-bank financial institutions and Third-Party Payment Processors

• Provide integrated guidance to People Experience Business Partners (PXBPs) and business leaders on compensation strategy, job evaluation, promotions, job changes, and individual compensation or classification concerns • Advise on broader compensation issues to ensure alignment with organizational goals and compensation philosophy • Conduct job evaluations using organizational, market, and internal equity factors • Create and place jobs within the company structure and assign appropriate pay grades using job evaluation methodologies and market research • Develop, maintain, and champion job leveling frameworks, compensation guidelines, and pay equity practices • Ensure compensation programs support consistency, fairness, and transparency across the organization • Support compliance-related reporting and audit activities; ensure adherence to state and federal laws related to minimum wage, pay transparency, pay reporting, and other compensation-related regulations • Participate in annual and ad hoc salary surveys, including compliance-related pay reporting • Analyze survey results and market trends and recommend updates to pay structures, pay grade assignments, and compensation practices • Evaluate the effectiveness of compensation programs through internal and external research, including turnover trends, offer acceptance rates, and salary range variance analyses • Review employees’ pay regularly to assess internal equity and market competitiveness; recommend adjustments aligned with business strategy and budget • Oversee the accuracy and integrity of compensation data within the HRIS; audit employee compensation data, resolve discrepancies, and identify opportunities for system enhancements • Plan, develop, and support compensation and People Experience (PX) projects, including compensation modeling, annual market review, promotion cycles, and bonus plan reviews • Lead the planning, coordination, facilitation, administration, and reporting of the annual compensation review process; conduct after action review • Participate in developing and refining team processes and methodologies

• Validate the final package resulting from the integration of two or more Sprint products • Support release validation (homologation) • Maintain execution of system processes in internal environments • Support the active systems homologation team (HMP) • Support the development team by taking on development work items each Sprint • Support development-related activities, with emphasis on the verification and validation of user stories implemented in the Sprints – Software Testing

• Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety, and drive the analytical work of online experiment to optimize the existing strategies to achieve better conversion rate. • Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates • Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models • Evaluate innovative data sources to solve fraud risk, and partner with the data engineering team to develop and maintain the data pipelines for our core datasets for analytical purposes. • Own end-to-end analytics workflow, including defining success and performance metrics, socializing them across the organization, and creating actionable dashboards and reports • Partner with Machine Learning on building fraud and identity verification strategies for new product, market, and user segments • Partner closely with Product and Engineering to identify highest impact points in the funnel to drive user acquisition and retention