Job
Description
As an Analyst in the Wholesale KYC Operations Data Solutions team, you will be part of a high performing team of data management professionals focused on delivering innovative data analytics solutions to KYC LOB stakeholders across Production, Regulatory & Controls. You will be responsible for delivering data & reporting commitments; developing strategies for effective data analysis and reporting; Selecting, configuring and implementing analytics solutions servicing a 3000+ WKO organization The Wholesale KYC Operations Data & Reporting Organization is responsible for developing and managing a converged, unified, consistent & sustainable Data & Reporting solution for WKO. The WKO Data & Reporting Organization is responsible for Regulatory, Controls, Operations & Ad hoc reporting including the ongoing optimization stemming from redundant data consolidation and normalization activities to generate reporting Job Responsibilities Build systems and tools to transform raw data into actionable business insights and KYC committed relations by using AI/ML Build technology solutions to aggregate data and develop metrics using BI Tools like Alteryx, Tableau Business Object, Qlik sense etc. Prepare company-wide metrics and relevant data sources; Select, configure & implement analytics solutions. Deliver all analytics operations to correct discrepancies and ensure quality by data analytics using Python AI modeling. Extract & transform data from multiple data sources i.e. Oracle Database / AWS data lakes / Peoplesoft data tables etc. Collaborate with the LOB, Consumers, and Technology to deliver reporting needs for WKO consumers across Production Operational, Controls, Executive and Regulatory commitments. Apply institutional knowledge from the KYC Operations and Reference Data industry; and Required qualifications, capabilities, and skill s A bachelor s degree is required; 2+ years experience with an experience in Applied AI, Data & transformation, Business Analytics experience is key. Strong analytical / critical thinking and problem-solving skills; able to develop and clearly present drawn conclusions & potential solutions with consideration to inherent risks Exposure and experience in data interrogation tools Python, SQL, Alteryx, Qliksense, Tableau, ThoughtSpot etc Ability to multi-task, work under tight deadlines, and quickly adjust to changing priorities Capability to work both independently with strong follow through and adapt to team environment Highly energetic self-starter with a focus on obtaining result Preferred qualifications, capabilities, and skills Qualified Computer Science, Statistics, Data Management or a related field is a preference Focus in the Applied AI / Data Analytics space highly preferred Subject Matter Expertise across KYC, AML & Client Reference Data is a plus
