Data Analyst - Financial Crime Analytics

Role Overview

• The ideal candidate will assist in operation, configuration and update of Transaction Monitoring models and systems plus requirements for source system changes.
• The role holder will work with medium and large data sets to manipulate, transform and enrich structured data and identify patterns and trends in data
• This is an individual contributor role responsible for model development, execution of applicable risk models and support to resolve IMR feedback
• Support change initiatives and escalate any concerns
• Implement company policy and contribute to the attainment of functional results
• Ensure the quality of tasks/services provided by colleagues, involving regular process checks or review of output by a co-worker and/or supervisor
• Provide advice and assistance through application of acquired knowledge
• Communicate technical/ sensitive information
• Provide general guidance/direction to mentor members of the team or develop their skills
• Understand and adhere to established policies and procedures in own team

Technical

• AML experience, preferably gained within a major wholesale bank
• Knowledge of data visualisation tools including Qlickview, SpotFire, Tableau or similar.
• Able to produce and interrogate complex analytical data sets using tools such as SAS, Python/R, Excel, Data Meer
• Understanding or experience in Anti Money Laundering, Payments, Compliance, Analytics, Risk Able to produce and interrogate complex analytical data
• Understanding business requirements and ability to convert these into positive systems changes
• Experience in data analysis within databases ( preferably Hadoop/Teradata) using SQL/HQL to analyse large datasets
• Excellent analytical skills with a good eye for detail and ability to draw and support conclusions from data trends.
• Proven ability to make actionable recommendations from data
• Awareness of business lines and the services/products they offer
• A working knowledge of Lotus Notes, Outlook, Word, Excel, Access, Visio and PowerPoint
• A flexible approach to working with the ability to travel
• Ability to work un supervised at times and direct own work
• Strong communication and presentation skills (both verbal and written) and ability to convey information in a way that is clear, succinct, and easily understood by non-analysts and senior executives