DescriptionAre you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area This is a unique opportunity for you to work in Data Operations and partner with the Business.
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 convergedunified 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 companywide 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 skills:
- A bachelors degree is required;
- 2 years experience with an experience in Applied AI Data & transformation Business Analytics experience is key.
- Strong analytical / critical thinking and problemsolving 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 multitask 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 selfstarter 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
Required Experience:
IC