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
:
- 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
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