Data and Analytics Officer

Overview

Job Purpose:

Reporting to the Data and Analytics Team Lead, the Data and Analytics Officer (“DAO”) will act as a junior resource in the data analytics and data management functions for the Financial Crimes Compliance (“FCC”) department.

DAO will conduct optimization and tuning exercises for FCC’s quantitative models related to anti-money laundering, watchlist screening, customer segmentation, and customer risk scoring. The DAO will also development and maintain customized, interactive Management Information System (“MIS”) reports for key stakeholders. Additionally, DAO will help ensure that FCC’s data meets the standards for accurate processing and reporting for its systems.

Key Responsibilities:

• Perform tuning and configuration of FCC models
• Perform pilot projects to analyze and establish new algorithms and rules
• Perform data mining and create automated reporting and workflow enhancement tools to support FCC business needs using interactive data visualization software
• Support FCC in projects including but not limited to generating MIS reports, testing, reporting, automation, and data management
• Implement the minimum data standards and quality criteria
• Update central conceptual data models, catalogues, data lineage and other meta-data repositories
• Work with FCC functions to establish data requirements and business alignment
• Maintain FCC’s Data Quality standards, including developing business requirements as well as metrics that define acceptable levels of data quality
• Successfully complete the Branch’s mandatory annual BSA/AML and OFAC training

Knowledge & Experience Requirements:

• Bachelor’s degree, preferably in a technical or business-related field; Master’s degree in a computer science or data analytics field a plus
• Previous working experience in a Quantitative and Statistical Analysis role, as a Business Analyst, Systems Analyst or equivalent experience
• Excellent computer skills and advanced knowledge of MS Excel, VBA, SQL, and Python
• Some knowledge of interactive data visualization software (Spotfire preferred, or Power BI, Tableau, Looker, d3.js, Matplotlib, Seaborn) is a plus
• Knowledge of and experience implementing machine learning algorithms
• Experience with Actimize (SAM/WLF), Fircosoft, Bridger Insight XG, Prime or other AML/watchlist screening suspicious activity detection systems is a plus
• Experience in database design, ETL processes, and data mining is a plus

Capability Requirements:

• Excellent verbal and written English communication skills, with exposure to auditors and model validators
• Excellent analytical and problem solving skills
• Excellent computer skills
• High attention to detail
• Flexible and comfortable with ambiguity, able to solve problems through reason and research