Job Description:

Senior FCC Data Analyst data analytics and data management functions for the Financial Crimes Compliance ( "FCC) department. DAA will conduct optimization and tuning exercises for FCC's quantitative models related to anti-money laundering, watch-list screening, customer segmentation, and customer risk scoring. The DAA will also development and maintain customized, interactive Management Information System ( "MIS) reports for key stakeholders. Additionally, DAA 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

Must Haves:

• Strong excel skills
• Strong communication/writing skills
• Skilled in programming in SQL
• Skilled in programming in Python
• Skilled in programming in VBA
• Knowledge of data governance and data stewardship principles
• Previous experience working as a business analyst, data analyst, or technical analyst, or more generally in statistics, analytics, database design, ETL, data governance, or data stewardship

Nice to have:

• Experience with visualization software (Tableau, PowerBI, Spotfire, Looker)
• Experience implementing Machine Learning algorithms
• Experience with database design, ETL
• Experience working in data analytics and/or data management
• Knowledge of financial crimes compliance and transaction monitoring or name matching software
• Experience performing tuning and optimization of transactionmonitoring and name matching systems, and/or customer segmentation and customer risk rating

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