Description
Team Overview:
The Financial Crime – Centre of Excellence team is responsible for the Enterprise-Wide AML transaction monitoring programs across all our products and services for US and International markets. The team develops, implements and monitors the automated transaction monitoring strategies/rules, reports, and other processes designed to identify activity potentially indicative of money laundering or other financial crime behavior that is key from Regulator Perspective.

How will you make an impact in this role?
The successful candidate will be responsible for partnering with GFCC, FCSU, GRC Capabilities teams to design and implement automated transaction monitoring (TM) scenarios to support market compliance (LECO) stakeholders and align regarding the management of the company’s compliance risk.

Responsibilities
Defining and documenting business requirements, in cohort with Stakeholders
Providing conceptual support for the design of TM scenarios involving credit and charge cards
Performing data analysis using Excel pivot tables,



intermediate SQL queries, and/or statistical techniques (e.g. Exploratory Data Analysis using Python)
Ensuring process and actions are logged and support regulatory reporting, documenting the analysis and the rule build in form of qualitative document for relevant stakeholders
Analyze the effectiveness of the existing TM rules and propose optimization wherever required
Reviewing output to ensure conformity and accuracy with their intended design

Qualifications
Academic Background: Bachelor’s degree or master’s degree from a Tier -1 Institute
Past Experience: Minimum of 1 year of relevant work experience
Experience using Excel, SQL/HQL, and Statistical Programming (Python)
Solid verbal and written communication skills, with the ability to translate between various technical and non-technical audiences
Proactive and reactive thinking and valuable analytical skills
Excellent critical thinking and

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