Delivered comprehensive Third-Party Due Diligence reports for Fortune 100 clients, by conducting extensive research, qualitative analysis, and identifying potential risk factors such as financial instability, litigation, and sanctions.Assessed the risk exposure of company principals through detailed checks, including Politically Exposed Persons (PEP) searches, litigation reviews, and adverse media screening, ensuring thorough risk identification and compliance.Compiled, cross-referenced, and analyzed findings from multiple sources (e.g., LexisNexis), resulting in detailed and cohesive risk assessment reports that supported key decision-making processes for high-stakes engagements.

Performed payment reviews and name screening within the internal STORM system to guarantee rigorous adherence to risk management protocols. Actively contributed to crafting comprehensive due diligence reports for new client onboarding, effectively mitigating potential risks.Collaborated closely with AML, KYC, and FIU teams to collect and consolidate individual case numbers. Generated comprehensive daily and weekly reports using Tableau, highlighting team-specific advancements and trends.Assisted in identifying and writing reports for suspicious transactions, providing support in the creation and submission of these reports to FINTRAC.Streamlined $2,000,000 of compliance department expenses with a co-sourcing company, achieving $30,000 cost savings through error rectification.

Generated monthly reports on Excel and PowerPoint to conduct trend analysis and research on competitors, identifying target marketing groups and promote customers to use our reward system which leveraged customer retention by 10% YTD.Trained 30+ employees and coordinated a group of 10 employee schedules according to staff availability and processed time-off requests.Communicated with 100+ customers to identify appropriate solutions and maintained 4.9/5 Google review. Handled payments, billings, and invoicing using Excel and handled shipping arrangements with suppliers which improved the process efficiency by 15% and saved an average of 15 working hours for the team.Processed 230+ credit card and cash transactions per day; Administered expense and generated the expense report using management software Hive.

Automated daily email reports using Python (Pyodbc and Win32), providing timely and accurate data updates to stakeholders.Extracted and analyzed data from SQL Server, supporting managers with their data requests and enabling informed decision-making.Developed an interactive dashboard to visualize customer payment rates, enhancing data accessibility and facilitating data-driven insights.Leveraged data extraction techniques to build metrics and create dynamic dashboards, effectively tracking success toward key performance indicators (KPIs).