Strategic Portfolio Analytics & Risk Lead

PNC; Pittsburgh (Allegheny County); On-site; USD 91,000 - 202,000; Full time

Benefits offered by this job

Medical/dental/vision

401(k) with match

Pension and stock purchase plans

Paid holidays

Vacation days

Wellness program

Parental leave

Education assistance

Job summary

PNC invites applications for a Portfolio Analytics and Strategy Specialist based in Pittsburgh, PA. This role provides enterprise-level oversight of credit portfolio positioning, risk-adjusted performance, and governance, collaborating with senior stakeholders and governance forums to inform strategic decisions.

You will apply predictive models, analyze large datasets, and develop reporting to support lending decisions and risk management.

Qualifications

• Bachelor’s degree with 5+ years of industry experience.
• Strong analytical and quantitative skills with risk and portfolio analytics.
• Experience with regulatory reporting and governance processes.

Responsibilities

• Provide enterprise-level oversight of credit portfolio positioning, risk-adjusted performance and governance.
• Leverage data to improve risk-adjusted returns, communicate insights, and drive strategy.
• Collaborate with ALCO and governance forums to ensure robust risk management and policy adherence.
• Design and monitor analytical reporting to track and enhance portfolio strategies.
• Partner with Finance and Risk teams to establish risk appetite and governance procedures.

Skills

Analytical Thinking

Credit Risks

Data Analytics

Financial Analysis

Model Development

Operational Risks

Quantitative Models

Risk Appetite

Education

Bachelors

Tools

Power BI

Tableau

Job description

PNC invites applications for a Portfolio Analytics and Strategy Specialist based in Pittsburgh, PA. This role provides enterprise-level oversight of credit portfolio positioning, risk-adjusted performance, and governance, collaborating with senior stakeholders and governance forums to inform strategic decisions.

You will apply predictive models, analyze large datasets, and develop reporting to support lending decisions and risk management.