Data Scientist (Digital Fraud)

PNC

Farmers Branch, TX

Full Time

Mid Level

about 1 month ago

Job Description

About the Role

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Digital Fraud Data Scientist within PNC's Enterprise Fraud - Adapt organization, you will be based in Pittsburgh, PA, Dallas, TX or Birmingham, AL. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager's discretion.

Key Responsibilities

Develop, write, and optimize real-time fraud detection rules using data-driven insights
Analyze large datasets (transactional, behavioral, and device-level) to identify patterns of fraud and abuse
Leverage statistical, machine learning, anomaly detection techniques to support rules-based countermeasures
Conduct impact analysis and performance monitoring of fraud rules and adjust strategies accordingly
Partner with fraud operations, digital product teams, and tech to deploy, test, and validate rules in production
Evaluate and respond to emerging fraud vectors in digital channels
Translate business problems into analytical solutions with focus on actionable outcomes
Create dashboards and reports to track fraud trends, rule effectiveness, and key performance metrics

Requirements

Proficiency in SQL, Python, PySpark, R and/or SAS for data analysis and rule simulation
Experience analyzing large datasets to identify fraud patterns
Knowledge of statistical, machine learning, and anomaly detection techniques
Ability to develop and optimize real-time fraud detection rules
Experience in impact analysis and performance monitoring of fraud rules
Ability to collaborate with cross-functional teams including fraud operations, digital product, and technology teams
Bachelor's degree (implied from work experience requirement), with 3+ years of relevant industry experience

Nice to Have

Ability to approach complex business problems with analytical rigor
Familiarity with big data technologies like Hadoop, Spark, Hive, Impala
Knowledge of data architecture, data mining, and data science
Experience with machine learning and modeling techniques

Qualifications

Master's degree

Benefits & Perks

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 fully paid programs
Wellness program with financial incentives
Paid time off including maternity/parental leave, holidays, vacation days, and occasional absence days

Working at PNC

PNC fosters an inclusive and accessible workplace, emphasizing respect, diversity, and employee contribution. Employees take pride in the company's reputation and are encouraged to build upon it through their work and collaboration.

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