Developing effective anomaly detection metrics and monitoring tools to identify potential fraud.
Analyzing data to detect suspicious activity, identify fraud patterns, and surface emerging trends.
Partnering closely with cross functional teams to share insights and continuously improve fraud mitigation processes.

Requirements

3+ years of relevant / direct industry experience
Strong to advanced proficiency in Tableau or Power BI (must have)
Proficiency in SQL and working knowledge of either Python or R for data analysis
Demonstrated ability to analyze complex datasets, identify patterns, and draw meaningful conclusions
Educational or professional background in mathematics, statistics, quantitative analysis, or a related field preferred
Prior banking experience and/or anti-fraud experience is a plus, particularly related to card products and transactions.

Benefits

medical/prescription drug coverage (with a Health Savings Account feature)
dental and vision options
employee and spouse/child life insurance
short and long-term disability protection
401(k) with PNC match
pension and stock purchase plans
dependent care reimbursement account
back-up child/elder care
adoption, surrogacy, and doula reimbursement
educational assistance, including select programs fully paid
a robust wellness program with financial incentives
maternity and/or parental leave
up to 11 paid holidays each year
9 occasional absence days each year, unless otherwise required by law
between 15 to 25 vacation days each year, depending on career level; and years of service

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

anomaly detection metricsdata analysisSQLPythonRTableauPower BIquantitative analysismathematicsstatistics

Soft Skills

analyzing complex datasetsidentifying patternsdrawing meaningful conclusionscollaborationcommunication