Business Analyst

The candidate is an experienced Senior Business Analyst and Anti-Financial Crime Consultant with over 6 years of expertise in business analysis, financial crime prevention, and KYC (Know Your Customer) operations. Throughout their career, they have demonstrated proficiency in analyzing and improving business processes, managing customer due diligence, and ensuring compliance with AML (Anti-Money Laundering) regulations.In their recent roles, the candidate was responsible for performing KYC tasks, onboarding new customers, and reviewing merchant data to assess risk profiles using various internal systems, including Salesforce, Ecash Center, and SAP. They have also been involved in ensuring that AML/KYC regulatory criteria are met, preparing SAR narratives, and collaborating with internal teams to address any unusual requirements.As a Business Analyst and Consultant, they have contributed to the construction of processes, policies, and procedures for customer file assessments. Their experience includes executing customer file reviews, identifying data gaps, and validating sanction risk profiles. They have worked with multiple business users, including developers, architects, and project managers, to enhance processes and optimize document management systems. Additionally, they have supported strategic initiatives, change management, and process improvement for clients across various industries.The candidate has also provided data analytics using tools such as Microsoft Excel, SQL, Python, and Power BI, and created reports, summaries, and presentations to communicate insights to stakeholders. They have worked on identifying and mitigating risks in projects, supported project status reporting, and facilitated decision-making meetings at tactical and strategic levels.Their expertise extends to transaction monitoring, case investigations, and conducting reviews for both corporate and retail banking transactions. They have also coached junior analysts, assisted in system testing, and participated in automation projects to improve performance.The candidate’s technical skills include proficiency in Python, SQL, Power BI, Tableau, and Excel, as well as knowledge of Agile methodologies, financial crime prevention tools, and cloud platforms like Google Cloud and Microsoft Azure. They are also experienced in process mapping, using tools like BPMN and UML, and have a solid understanding of IT financials, budgeting processes, and customer identification programs.With a strong academic background and certifications in areas such as Python for Data Science, SQL, and Anti-Money Laundering, the candidate brings a diverse set of skills to any organization, combining technical expertise with a solid understanding of regulatory requirements and business operations.