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Fraud Data Analyst in Brooklyn, OH at Key Bank- Corporate

Date Posted: 3/19/2020

Job Snapshot

  • Employee Type:
  • Location:
    4900 Tiedeman Road
    Brooklyn, OH
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:

Job Description

Overview of job functions:

  • Understand strategic priorities of Key, Line of Business (LOB), Key Technology & Operations (KTO), Enterprise Security Services (ESS), & Fraud Team and develop analytics and solution proposals aligned with these strategies
  • Mine data from primary and secondary sources often using complex joins across multiple datasets
  • Clean data to discard irrelevant information
  • Validate data by reconciling to neutral source or system of record, understand and explain variances
  • Analyze and interpret results; pinpoint trends, correlations and patterns in complicated data sets
  • Provide concise data reports and clear data visualizations
  • Design, create and maintain relational databases and data systems
  • Triage code problems and data-related issues
  • Articulate results of data analysis and recommendations in one-on-one conversations and within group settings
  • Identify new opportunities for process improvement
  • Creativity in obtaining, matching/joining data – much of the work will not be straightforward; may require joining across varying systems and digging into many tables to find solution

Examples of specific work efforts include (but are not limited to):

  • Data gathering, validation, analysis for the following:
    • Key’s participation in fraud industry surveys (monthly, quarterly and ad-hoc). Industry groups include Auriemma, American Banker’s Association (ABA), BITS (the technology policy division of the Bank Policy Institute (BPI))
    • One time only ad hoc requests to assess…recently occurred or emerging trends in fraud, value of a solution (e.g. system, bot, process, retail product offering), impact of a policy change (internal or external)
    • Ad hoc requests which may become recurring (e.g. daily, weekly, monthly, quarterly) typically to assist other fraud teams in detection or decisioning, operational staffing optimization, tracking of new metrics
    • Regulatory and/or audit requests – could be for a fraud specific exam or for other exams across the bank which have a fraud component to them (e.g. retail bank products)
  • Compilation of data and preparation of slide decks for periodic recurring reporting such as weekly fraud report, monthly card and non-card fraud losses, monthly internal fraud events, quarterly Key Risk Indicator metrics (KRIs), quality control metrics for AML and fraud
  • Conceive of ideas to automate work flows and reduce time spent on BAU activities
  • Data gathering for own use such as validation,and/or substantiation of idea or theory


  • Proficient in data management and Business Intelligence software esp. SAS and Tableau. SQL/Python/R also preferred. Ability to mine, clean, validate and analyze large datasets.
  • Ability to prioritize and manage multiple assignments simultaneously in a dynamic environment while delivering on time with accuracy. Willingness to proactively work additional hours when necessary to deliver.
  • Strong communicator across manager and teammates, business partners and internal clients. Proactively share status updates and roadblocks. Accurately assess and communicate estimated time to delivery of work items.
  • Proven capability to grasp operational processes and flows; ability to map front-end and back-end data elements to the process flows.
  • Strong attention to detail with ability to distill to executive level bullet points.
  • Develops strong business relationships and provides excellent customer service to teammates, peers, internal clients, etc.
  • Self-starter, critical thinker, intellectually curious (asks the next “why” and proactively seeks answers), wants to get involved, drives toward completion w strong sense of ownership, knows when to ask for help when “stuck”.
  • Finds enjoyment in exploring, experimenting, getting creative. Passion for persevering and figuring it out where clear-cut solutions and strong knowledge base may not already exist. Enjoys developing and creating data solutions rather than relying on previous work of others.
  • Creates documentation for work products and processes that is thorough and easily followed/understood by others. Documents technical and non-technical (e.g. business assumptions) elements for ease of reference by a wide audience.
  • Demonstrated commitment to high professional ethical standards and a diverse workplace
  • Bachelor’s degree in Data/Science, Mathematics, Statistics or related field preferred
  • Working knowledge of industry trends and practices in Fraud, Risk Management, Compliance, Operations, and Technology preferred
  • Working knowledge of Retail Bank product offerings (deposits & loans & card portfolios) preferred
  • Working knowledge of Finance and Accounting concepts (e.g. balance sheet, income statement, GL entries) preferred
  • Familiarity with, and ability to generate ideas leading to, continuous improvement. Proven understanding and application of Lean Six Sigma principles preferred


KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to engaging a diverse workforce and sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.


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