Senior Analytics Consultant

In this role, you will:

• Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors

• Perform moderately complex data analysis to support and drive strategic initiatives and business needs

• Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements

• Lead or participate on large cross group projects

• Mentor less experienced staff

• Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals

• Leverage a solid understanding of compliance and risk management requirements for supported area

• Provide analytical support on data utilized by the Financial Crimes Analytics and Monitoring models/programs.

• Provide UAT/regression testing on payment data being sourced from multiple payment applications.

• Perform analysis of findings and trends using statistical and/or financial analysis, modeling, process documentation, profitability analysis, customer/demographic analysis, etc.

• Identify business requirements and analytical needs; identify and recommend potential data sources; compile and mine data from multiple, cross business sources

• Ensure adherence to data management/data governance regulations and policies.

• Consult with business line and enterprise functions on less complex research

• Use functional knowledge to assist in financial crime model/non-model quantitative tools that support strategic decision making.

• Perform analysis of findings and work with partners to assess impacts.  

• Identify and define business requirements and translate financial crimes /fraud data and business needs into research and recommendations to improve efficiency

• Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff

• Assist in implementing Data Quality Controls across dimensions (Accuracy, Completeness etc).

Required Qualifications:

• 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications:

• Intermediate Microsoft Office (Word, Excel, Outlook, and PowerPoint) skills

• Minimum of 5+ years of overall experience and 3+ years of experience with BSA/AML/OFAC laws and regulations.

• Acquaintance with financial crimes /regulatory/fraud data /AML/KYC/ Transactions Monitoring/ Client Due diligence

• UAT/regression testing experience on data outputs involving complex data mapping designs.

• Advanced SQL is mandatory. A combination of Python+ SQL or SAS+SQL is a big plus.

• Teradata and Oracle experience is desired.

• Experience with RCSA process for implementing and managing system data expected output controls

• Strong foundation in statistical modeling, machine learning algorithm

• Experience in conducting data quality analysis to support modelling.  

• Knowledge of fin crime data quality activities and controls required for large financial institutions.

• Demonstrated experience with report and dashboard generation using large data sets, including non-standard data is desired but not mandatory

• Familiarity with conducting data quality analysis to support modelling  

• Aptitude for synthesizing data to 'form a story'

• Experience with documenting Data Lineage, identifying Critical Data Elements.

• Demonstrated experience supporting BSA/AML and sanctions monitoring systems for global multi-channeled financial institution

• Prior Experience enhancing AML Monitoring Models and Systems.

• Familiarity with implementation of Data Quality Controls is preferred.

• Eagerness and ability to learn new technologies and programming languages

• Intellectually curious, enjoy solving problems.

Job Expectations:

• This profile is an AML model data analyst profile who understands database and data quality more than AI/ML or reporting hence reporting profiles are not preferred.

• Reporting specialists/ Business Analysts, functional analysts, financial crimes or banking operations analyst performing L1/L2/L3 maker/checker activities or alert disposition, KYC /CDD/EDD due diligence/ Fraud /Negative news alert investigators are not preferred.