Client Protection Strategies - Data BI Sr Associate

Location:

Job Summary:
KeyBank is looking for an experienced and motivated professional to join our Enterprise Fraud Services (EFS) Client Protection Team as we seek to deliver industry leading scam prevention detection and mitigation services that enable safer banking interactions for all clients.
As the Data & BI Senior Associate on the Client Protection team you will be responsible for discovering emerging trends with scams and money mule activity developing actionable insights and detection strategies and deploying effective controls to protect our clients minimize risks and improve efficiencies. To accomplish this you will conduct detailed analysis of scam and money mule activity using advanced analytics surfacing insights to inform policy technology and procedure change and driving detection strategy improvements. You will also develop comprehensive reporting on scam and money mule detection performance strategy effectiveness and other KPIs/KRIs/metrics. Further you will participate with internal and external partners to drive various other analytics projects forward to enable the business to grow processes to be improved teammates to be supported and technology changes to be deployed all which help strengthen the trust our clients have in KeyBank.

Job Responsibilities:

• Discover scams and mule activity by extracting data and performing complex analysis on large transactional and behavioral data sets.
• Develop reporting to measure and monitor scam and money mule KPIs KRIs and related metrics.
• Develop automation to increase efficiencies and reduce variation to maximize impact.
• Develop effective proposals to communicate findings and potential solutions to leadership.
• Develop strong relationships collaborating with teammates inside EFS as well as stakeholders outside EFS or external to KeyBank to provide analytical insights and solutions for projects technology changes and other critical initiatives.
• Deploy new and optimize existing strategies to mitigate scam and money mule activity and improve the client experience.
• Understand existing fraud/scam typologies and tactics used to perpetrate these crimes and stay up to date on emerging trends and threats with a specific focus on scams and money mules.

Desired Skills:

• Experience working in a financial institution and familiarity with related laws and regulations including Reg E Reg CC UDAAP FACTA and Reg Z.
• Experience supporting client behavior analytics fraud prevention or financial service operations.
• Masters degree in applied mathematics analytics or similar field of study.
• Experience with Google Cloud Platform SQL Server Python or R

Required qualifications:

• Minimum of 3 years experience developing analytical solutions to business problems.
• Bachelors degree in Mathematics Analytics Computer Science Finance Criminal Justice or similar field of study. 4 additional years of advanced analytics experience acceptable in lieu of degree.
• Advanced skills with SQL SAS Excel Visualization (Tableau preferred) and statistical modeling techniques.
• Ability to work independently effectively juggle competing priorities and quickly adapt to change.
• Ability to used advanced analytics to creatively identify simple solutions to complex problems.
• Excellent written and verbal communication skills including the ability to communicate complex ideas to nontechnical audiences throughout all levels of an organization.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Key has implemented a rolebased 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.

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $115000 to $125000 annually depending on jobrelated factors such as level of experience. Compensation for this role also includes eligibility for shortterm 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.

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