Consumer Banking
3 weeks ago
The Fraud Risk Analytics & Intelligent Reporting (AIR) team is part of the Consumer Banking Risk Management and Fraud Center of Excellence (COE) team within CCB Risk. The role is aligned to CCB Risk Oversight organization which is working on protecting our customers and the firm from fraud and reputation risk by recommending the right level of controls for new business initiatives and / or existing processes. The candidate will be a key contributor to the Risk Oversight team’s mission by providing analysis that bolsters and validates the team’s recommendations. Analysis will include: quantifying potential or current risk scenarios; reporting that monitors program performance; ad hoc root cause analysis on significant fraud trends; etc. This mission spans every CCB sub-line of business and supports all functions, strategies and capabilities in the fraud space.
We are seeking a candidate with a strong analytical skillset, capable of developing and communicating meaningful insights to influence strategic initiatives to senior leaders. This role requires an individual to leverage creative analytical problem-solving skills while efficiently using large data sets from a broad range of sources. In addition to top-tier analytical capabilities, the desired candidate should have strong programming skills coupled with excellent written and oral communication. They will also leverage an acquired understanding of the data repositories, tools, policies and controls required in the risk reporting and analytics space.
Additional responsibilities include:
Collaboration with LOB partners to gather and interpret requirements Collaboration with technical partners, data owners, data quality management teams and technical support teams as needed Work with Product Risk managers and other stakeholders to support new strategy and product development and monitoring Providing leadership and guidance to associatesMinimum Skills, Experience and Qualification
The successful candidate must also have a technical background and experience using SQL/SAS based tools needed for extracting, transforming, and analyzing big data.
Experience - must meet one of the following requirements: Master’s Degree in a quantitative discipline with 5+ years of work experience in analytics Bachelor's Degree in a quantitative disciple (. Data Analysis, Economics, Mathematics, Statistics, Management Information Systems) with at least 7+ years of work experience in analytics / analytical reporting Working knowledge and development experience with SQL, SAS and related tools such as Alteryx and Tableau Strong analytical skills with the ability to extract business insights from complex data structures Alteryx, Tableau, SAS certification preferred (basic/advanced) Experience coding in a flexible analytics language preferred (. Python, R) Proven ability to work with large-scale/complex issues and collaborate across organizations Experience in Banking / Digital Banking preferred Excellent analytical storytelling skills Ability to work in a fast-paced environment and flexibly adapt to change-
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