Senior AML Business Analyst

We are looking for a Senior AML Business Analyst to join our AIA team. As a Senior Business Analyst, The ideal candidate will analyze business processes, gather requirements, and collaborate with stakeholders to enhance collections and recovery systems while leveraging SQL for data analysis and reporting. You will work with a cross functional team consisting of technology and business partners to successfully implement projects and releases.

We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them. With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.

In this role, you will

• Gather, analyze, and document business and system requirements related to Risk or AML/Transaction monitoring systems in Banking Domain.
• Conducting feasibility analysis, project scoping and providing project work estimates.
• Perform data analysis using SQL to extract insights and validate system data.
• Building data quality checks and writing complex SQL queries.
• Support system configurations, data integration, and implementation of new features

What you’ll need to succeed (required skills):

• 6-10 years of BA experience in data analytics/data integration through agile environment specifically in Risk, or AML/Transaction monitoring projects.
• Must have deep understanding of AML domain, particularly in screening, risk and fraud – how data impacts business operations, compliance, regulations standards and decision makings.
• Proficiency in SQL with hands-on experience querying and analyzing data from various data sources.
• Strong experience in data analysis, analyze large data sets and identify patterns, anomalies, profiling data, clean-up, data wrangling and validation.
• Experience working in large scale Enterprise Data Lake ingestion and extraction projects.
• Experience with Data Lake, Python, SQL Server, Power BI etc.
• Solid knowledge of metadata management principles, metadata modeling and writing metadata definitions.Good understanding of data Security Classifications, Risk Assessment (TRMIS) guidelines.Strong analytical, organizational, and technical skills to analyze, model and interpret data.
• Hand-on experience in capturing Data Lineage and Data Mapping between Source and Target systems.
• Work Experience in investigating, analyzing, estimating system applications in a large integrated solution environment.
• Demonstrable experience with conceptual, logical and physical data modeling techniques.

What will help you stand out (preferred skills)

• Data Analyst certifications preferred.AML certifications is a big plus.

At Cognizant, we’re eager to meet people who believe in our mission and can make an impact in various ways. We strongly encourage you to apply even if you only meet the required skills listed.Consider what transferrable experience and skills make you a unique applicant and help us see how you’d be beneficial to this role. Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client office in Toronto. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various well-being program.

Note: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.