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Fraud Business Intelligence Data Analyst in Brooklyn, OH at KeyBank

Date Posted: 2/23/2021

Job Snapshot

  • Employee Type:
  • Location:
    4900 Tiedeman Road
    Brooklyn, OH
  • Date Posted:

Job Description

  • 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
  • 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
  • Leverage fraud background/experience to develop metrics/scorecards to measure quality and effectiveness of fraud systems/processes using data and visualization software
  • Leverage fraud background/experience to develop metrics/scorecards to measure adherence to fraud regulations using data and visualization software
  • Gain understanding of strategic priorities of Key, Line of Business (LOB), Key Technology, Operations & Services (KTOS), Enterprise Security Services (ESS), & Fraud Team and develop analytics and solution proposals aligned with these strategies
  • Actively participate in special projects that impact Fraud applications/processes by providing effective leadership to the assigned projects.
  • Manage the work including translation of expected business outcomes into requirements, setting and meeting deliverable dates, communication to stakeholders.
  • Ability to analyze, identify and recommend appropriate solutions to complex problems (e.g. systems, process, data translation).
  • Ability to understand where changes can be recommended/implemented and what those changes should be; and ability to recognize where change is not possible and develop work-arounds.
  • Manage multiple projects with varying requirements (both technical and business) in a fast paced and dynamic environment.
  • Balance “directionally correct” and “precision” with effort required; understand the time and place for each approach
  • Work with subject matter experts and analysts to create/develop analysis/insights resulting in recommendations for fraud system/rule changes, workflow optimization, and other knowledge related activities designed to enhance effectiveness and efficiency
  • Ability to effectively partner with various senior lines of business, technology, compliance and external/regulatory partners
  • Maintain highest level of data and regulatory integrity and proper internally/externally regulated operational controls
  • Keep abreast of changes in the Fraud industry.
  • Leverage industry contacts to obtain peer intelligence and best practices.

  • Fraud background/experience required.
  • Proficient in data management and Business Intelligence software esp.
  • SAS, Google Cloud Platform and Tableau; SQL/Python/R also preferred.
  • Ability to mine, clean, validate and analyze large datasets.
  • Knowledge of industry trends and practices in Fraud, Risk Management, Operations, and Technology.
  • Proven ability to transform data into information and deliver to senior leadership.
  • Demonstrated ability to develop and maintain metrics around service levels/quality/compliance/key indicators, specifically related to fraud, to continuously enhance effectiveness and sustain program stability
  • 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.
  • Proven ability in leading work efforts from conception to delivery.
  • Ability to turn data into “story”.
  • Ability to respond to requests from partners, corporate oversight groups and benchmarking requests as needed.
  • Ability to lead & coordinate these efforts among other team members.
  • 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.
  • Proven oral and written communication skills tailored depending on audience.
  • Demonstrated commitment to high professional ethical standards and a diverse workplace
  • Bachelor’s degree in Data/Science, Mathematics, Statistics or related field preferred.
  • 3+ years fraud and data/analysis experience required.
  • Additional experience in Operations, Technology, Finance or Risk Management a plus.
  • Working knowledge of industry trends and practices in fraud required
  • 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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