Fraud Portfolio Analytics & Strategy Analyst

Colorado Psychiatric; Pittsburgh, Northern (Allegheny County, KY); Hybrid; USD 68,000 - 83,000; Full time

Benefits offered by this job

Health coverage

Dental & vision

Life insurance

Disability protection

401(k) with match

Pension and stock purchase

Educational assistance

Wellness program

Paid time off

Job summary

PNC is seeking an Enterprise Fraud Portfolio Analytics & Strategy Analyst based in Pittsburgh, PA (or Cleveland, OH; Birmingham, AL; Phoenix, AZ; Denver, CO; Dallas, TX; Louisville, KY). The role provides financial and regulatory analyses to strengthen controls over reporting and risk management.

You'll apply SQL, R, Python, Power Automate and Power BI to analyze large datasets, develop predictive models, and support lending decisions while communicating insights to business partners.

Qualifications

• University degree; 2+ years relevant professional experience preferred.
• In lieu of a degree, a combination of education, certifications and experience may be considered.
• Experience with risk analytics and financial products is advantageous.

Responsibilities

• Provide financial and regulatory reporting and analyses to maintain controls over reporting processes.
• Run complex business performance, risk and operational analytics.
• Develop analytical methods/models to assess market, credit and/or operational risk of financial products.
• Leverage data to improve lending decisions, manage risk, increase revenues and communicate conclusions.
• Design and monitor standard reporting suites for product/portfolio reviews.

Skills

SQL

R

Python

Power Automate

Power BI

Data science

Boolean logic

Fraud experience

Analytical skills

Off-hours readiness

Education

Bachelor's degree

Tools

SQL

Power Automate

Power BI

Job description

PNC is seeking an Enterprise Fraud Portfolio Analytics & Strategy Analyst based in Pittsburgh, PA (or Cleveland, OH; Birmingham, AL; Phoenix, AZ; Denver, CO; Dallas, TX; Louisville, KY). The role provides financial and regulatory analyses to strengthen controls over reporting and risk management.

You'll apply SQL, R, Python, Power Automate and Power BI to analyze large datasets, develop predictive models, and support lending decisions while communicating insights to business partners.