Sr. Systems Analyst

The Senior Data Analyst will support the Anti-Money Laundering (AML) and Sanctions business by creating insightful visualizations to aid in the detection and prevention of financial crimes. The role requires a strong understanding of data analysis, data visualization tools and AML/sanctions regulations. The Senior Data Analyst will be responsible for interpreting complex data sets, developing insightful reports and collaborating with compliance, legal and risk teams to promote a culture of compliance and risk management across the organization.

We are seeking a highly skilled and experienced Senior Data Analyst to join Compliance Technology Operations (CTO) team which is part of the Global Ethics and Compliance organization.

 

Responsibilities:

Basic Qualifications
5+ years of relevant work experience with a Bachelor s Degree or at least 2 years of work experience with an Advanced degree (eg Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.

Preferred Qualifications
6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (eg Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
Bachelors/Master s Degree in Engineering, Economics, Statistics, Mathematics, or related technical discipline
Minimum of 5 years of experience in data visualization and data analysis
Proficiency in data visualization tools such as Tableau, Power BI or similar and programming languages such as Python, R and SQL
Strong background in data analysis, visualization, and storytelling, with the ability to transform complex data sets into actionable insights and visually compelling narratives
Excellent knowledge of database management, data extraction and data manipulation skills
Excellent storytelling and presentation skills, with the ability to communicate complex data insights to non-technical audiences
Ability to work independently and manage multiple projects simultaneously
Open to work in a flexible schedule across different time zones

Preferred Skills:

Knowledge of UX/UI principles to enhance user interaction with data visualizations
Understanding of AML and sanctions regulations
Familiarity with data warehousing and ETL processes