Fraud Analytics Data Scientist – Anomaly Detection

Fairygodboss; Birmingham (AL); On-site; USD 86,250 - 172,500; Full time

Benefits offered by this job

Health insurance

Dental and vision options

Life insurance

Short and long-term disability

401(k) with PNC match

Pension and stock purchase plans

Dependent care reimbursement account

Backup child/elder care

Job summary

PNC is seeking a Data Scientist to join the Monitoring under the Enterprise Fraud organization. Based in Pittsburgh, PA, Cleveland, OH, Dallas, TX, or Birmingham, AL, you will develop anomaly detection metrics and analyze large datasets to surface fraud patterns and opportunities for optimization.

You will work with cross-functional teams to share insights, apply machine learning, and present findings to management using visualization tools. A Masters and 3+ years’ experience are preferred.

Qualifications

• Masters degree; university/college degree required.
• 3+ years of relevant industry experience; Certifications often desired.

Responsibilities

• Performs analytical tasks on large structured and unstructured data to extract actionable insights.
• Develops anomaly detection metrics and monitoring tools to identify potential fraud.
• Collaborates with Data Architects, Data Analysts, Data Engineers and Visualization Experts to build data-driven solutions.

Skills

Analytical Thinking

Data Analytics

Data Mining

Data Science

Machine Learning

Education

Masters

Job description

PNC is seeking a Data Scientist to join the Monitoring under the Enterprise Fraud organization. Based in Pittsburgh, PA, Cleveland, OH, Dallas, TX, or Birmingham, AL, you will develop anomaly detection metrics and analyze large datasets to surface fraud patterns and opportunities for optimization.

You will work with cross-functional teams to share insights, apply machine learning, and present findings to management using visualization tools. A Masters and 3+ years’ experience are preferred.