Strategic Analytics - Fraud Risk Associate

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. AIR is responsible for the development, automation and deployment of intelligent solutions that meet the reporting and analytical needs within CCB Risk, as well as enforcing compliance and control requirements to ensure timely and reliable information is provided to the right audience.In addition, AIR is focused on developing analytical insights around the strategies our risk partners deploy to identify and mitigate fraud. This mission spans every CCB sub-line of business and supports all functions, strategies and capabilities in the fraud space.

We are seeking a candidatewitha 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:

• Ability to design, execute and interpret statistical analyses to drive insights and strategy
• Query enterprise databases using SQL to obtain relevant data for analysis
• Work with Product Risk managers and other stakeholders to support new strategy and product development and monitoring
• Write summary documentation of analyses performed for both technical and non-technical audiences within the firm
• Present results to peers and higher levels of management
• Share advanced machine learning and execution knowledge with team members as new techniques are discovered to solve analytical problems

• Mentoring newer team members in their role

Minimum 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 3+ years of work experience in analytics
  • Bachelor's Degree in a quantitative disciple (e.g. Data Analysis, Economics, Mathematics, Statistics, Management Information Systems) with at least5+ years of work experience in analytics / analytical reporting
• Working knowledge and development experience with SQL, SAS and related tools such as Alteryx ,Tableau ,Snowflake
• 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 (e.g. 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