Internal Fraud Strategy/ Data and BI Lead

For Those Who Work At Home, OH

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Location:

For Those Who Work At Home - Various, Ohio 44144

ABOUT THE JOB (JOB BRIEF):

We are seeking a motivated, experienced individual to join our financial institution as a Lead Data & Business Intelligence Associate who will be responsible for owning the Internal (Employee) Fraud strategies for KeyBank. As part of our Enterprise Fraud Services team, you will analyze and review a broad range of financial data, including transactions, transfers, new accounts, and various types of payments to uncover potentially fraudulent activity. The Lead Data & Business Intelligence Associate uses queries and data mining to produce reports involving moderately complex descriptive analysis that provide answers to questions such as “How do I measure?” and “What happened?” Through reoccurring reporting and analysis of more complex data, the Lead Data & Business Intelligence Associate will develop and maintain reports for various business partners using data from multiple sources.  You must be familiar with data analysis techniques, software, and processes, and the candidate should possess the creative problem-solving abilities necessary to suggest new methods of analysis and prevention. Success criteria include: leveraging business acumen and anticipation of business partner needs to generate own work / analyses; developing a “client ready” work product; and collaboration with the team, technology partners, and business partners to provide datasets, reports, and business intelligence solutions. Our ideal candidate has experience in mining fraud data, experience with developing internal fraud mitigation strategies and reporting, has a bachelor’s degree in criminal justice, computer science, or a relevant field, financial services experience, exceptional attention to detail, and strong written and verbal communication skills.


ESSENTIAL JOB FUNCTIONS:
• Source data for reports based on understanding of business partners garnered by proactive communication and asking the right questions
• Automate and standardize reports for production
• Translate data into consumable reports / business intelligence solutions and answer the “why” question
• Develop “client ready” work product
• May guide or monitor the work of others

REQUIRED QUALIFICATIONS:
• Bachelor’s degree (or its equivalent) in Data Analytics, Business Management, Finance, Economics, Engineering, Computer Science, Management Information Systems, or Statistics (or other related field) and at least 2 years of relevant experience; 1 with Master’s or PhD
• Proficient in:
o Microsoft Excel/PPT
o Data integration
o Database query writing/coding with ability to perform queries of large datasets
• Knowledge or Skill in:
o Project management
o Source systems
• Building knowledge / experience with analytical programming languages
• Ability to learn the process of consuming data from the data supply chain
• Capacity to automate reports

EXPECTED COMPETENCIES:
• Communication: Basic written and verbal communication skills; may possess ability to cohesively present and organize information in support of findings; Building confidence in communicating a message; Can tell a compelling story with data and information; Possesses emerging presentation development and delivery skills
• Leadership: Able to work autonomously; Can generate own work (vs. typically assigned by manager)
• Partnering / Influencing: Demonstrates relationship building and interpersonal skills; comfortable being “at table” with partners; Building influencing skills in area of expertise or assigned LOB
• Business Acumen: Understands business partner strategy and the business of banking at a high level; Asks the right questions; Understands upstream and downstream impacts
• Critical Thinking / Problem Solving: Demonstrates critical thinking; Can translate data and answer the “why” question; Starting to understand impacts / intersections with others

Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment.  As a result, this role may be mobile or home based, which means you may work either at a home office or in a Key facility to perform your job duties. If located near a KeyBank location, the position in the future may work partially from a Key facility. If not located near a Key facility, team will consider remote workers.

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $85,00.00 to $100,000.00 annually depending on job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance.

Please click here for a list of benefits for which this position is eligible.

Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be Mobile or Home-based, which means you may work primarily either at a home office or in a Key facility to perform your job duties.

Job Posting Expiration Date: 11/25/2024

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

 

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.


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Tags: Banking Business Intelligence Computer Science Data analysis Data Analytics Data Mining Economics Engineering Excel Finance PhD Statistics

Regions: Remote/Anywhere North America
Country: United States

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