Cons Prod Strat Analyst III - Global Payment Operations Fraud Analytics

Responsibilities

• Create / update business rules to minimize the false-positive commercial Fraud alerts to improve efficiency and effectiveness of the CoE’s alert review process.
• Manage the multiple on-going initiatives by attending calls from various projects, understand the commercial Fraud needs from the projects, Provide requirements to the projects and track the status of these projects.
• Analyze alerts on a daily basis to chalk out strategies using different pattern matching and trending techniques.
• Ability to query & analyze the data required for ad hoc requirements on the fly and generate reports for the team to use.
• Work with technology teams for requirements / testing and implementing changes to improve / automate processes.
• Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set.
• Develops and executes on Enterprise Data Management policies and standards, works across teams to ensure adherence, serves as a key point of contact for all topics related to data compliance, and manages operational elements of the (Enterprise Data Strategy Governance and Operations (EDSGO) relationship.
• Manages data related incidents and identifies, communicates, and resolves or escalates issues as needed. Data inquiries include questions related to data issues, availability of data, and potential sourcing alternatives to inform.
• Develops, manages, and executes on controls, ensuring tracking, monitoring, and resolution of any control breaches with data platform.
• Promotes coordination of the production of product performance reports and updates for senior management.

Qualifications

• Bachelor's degree in Computer Science, Data Management, Statistics or related fields or equivalent experience
• 1+ years experience in SQL/SAS
• Intermediate knowledge in SQL and using tools like TOAD, SQL Server
• Awareness of AI / Machine learning concepts and ability to implement such strategies
• Experience in data analytics and interpretation of large volumes of data
• Scripting experience with any language like Python, Java, VB, SAS

Desired Qualifications

• Experience in financial fraud processes
• Data transformation / formatting experience and able to work with data in different formats
• Knowledge of Global Financial Crimes programs requirements
• Experience in Global Banking & Markets business process
• Logical thinking capabilities with a technical mind-set
• Advanced knowledge in using Microsoft Excel and MS Access
• Knowledge of PowerBI /Tableau
• Ability to prioritize, use own initiative, make quick decisions, be flexible and work independently
• Ability to work remotely, with teams spread globally, under pressure, meet deadlines and navigate change
• Ability to work and interact with people from a diverse range of backgrounds and opinions