In this role, you will:

Consult with business line and enterprise functions on less complex research
Use functional knowledge to assist in non-model quantitative tools that support strategic decision making
Perform analysis of findings and trends using statistical analysis and document process
Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance
Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency
Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing
Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff
Understand compliance and risk management requirements for supported area
Ensure adherence to data management or data governance regulations and policies
Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals
Collaborate and consult with more experienced consultants and with partners in technology and other business groups

Required Qualifications:

2+ 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
Experience with BSA/AML/OFAC laws and regulations.
UAT/regression testing experience on data outputs involving complex data mapping designs.
Lead or participate in providing technology initiatives for simple to moderately complex business problems within technology business systems
Contribute to the development of systems and procedures that are both cost effective and meet the relevant business requirements.
Advanced SQL
Teradata experience is desired
Act as an internal consultant within technology and business groups by using quality tools and process definition or improvement to re-engineer technical processes.
Collaborate and consult with business and technology teams to evaluate and resolve issues in order to provide technological solutions and manage both project schedules and deliverables.
Coordinate communication and information flow between business and technology teams.
Ability to work effectively in a virtual team environment.
Experience with RCSA process for implementing and managing system data expected output controls
Experience in conducting data quality analysis to support modelling
Knowledge of fin crime data quality activities and controls required for large financial institutions.
Demonstrate 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
Demonstrate experience supporting BSA/AML and sanctions monitoring systems for global multi-channeled financial institution
Prior Experience enhancing AML Monitoring Models and Systems.
Eagerness and ability to learn new technologies and programming languages.
Intellectually curious, enjoy solving problems.

Job Expectations:

Data analyst with sound experience in handling AML/Fin crime data with hands on experience working with data quality and AML model specific code development and data validation skill

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