Anti-Money Laundering Analyst
Job function
I worked in the Risk department in the Anti-Money Laundering program. I supported the AML department by performing analyses and gathering information to identify and mitigate risks.
Examples of projects
- Cleaned and analyzed a small dataset using Excel and Python for a report validating a hypothesis and defining an analytic approach for use on future data.
- Co-write an informative article on peer-to-peer (P2P) payment services, highlighting their relevant risks and recommending risk management practices.
- Perform an analysis of the SARs completed by the AML program regarding P2P payments. The charts were created via Tableau and the findings were subsequently used as a resource to rate the impact and risk that P2P payments represent in the fight against money laundering.
What you learned and how it relates to your major
During my time at TD Bank, I had the opportunity to be exposed to different teams working in the fight against money laundering. Among these, the communications team is in charge of making weekly, biweekly, monthly and annual reports to visualize the operation of the AML program. Python is one of the tools they use for creating reports, this has helped them organize big data that would take a long time if doing manually and develop more accurate sheets of information. I was able to get a side-by-side session where they introduced me to Python, and as a practice, they allow me to run some lines of code to work on a report they were performing.