Senior Portfolio Analytics & Strategy Leader (Market Risk)

Fairygodboss; Pittsburgh (Allegheny County); On-site; USD 112,000 - 250,000; Full time

Benefits offered by this job

Medical and prescription coverage

Dental and vision options

401(k) with PNC match

Pension and stock purchase plans

Educational assistance

Wellness program

Paid holidays

Job summary

PNC is seeking a Portfolio Analytics and Strategy Specialist Senior to advance market risk analytics and automate reporting across multiple locations including Pittsburgh and other major U.S. hubs.

The role emphasizes building databases, coding, and BI dashboards with strong financial markets knowledge. The ideal candidate will have object-oriented programming (Python, Java, C++), SQL familiarity, and a proven track record in risk analytics and stakeholder collaboration.

Qualifications

• University/college degree required; 8+ years industry experience.
• Experience with financial markets and risk analytics.
• Experience with coding and data automation.
• No required certifications.

Responsibilities

• Provide financial and regulatory reporting and analyses with controls over reporting processes.
• Develop analytics, models, and reporting to improve risk-adjusted returns and portfolio performance.
• Apply predictive models and data to segment and target portfolio strategies.
• Communicate regulatory and financial accounting impacts to regulators and control functions.
• Collaborate with business, data, and model partners to design and monitor test designs and reporting.

Skills

Analytical Thinking

Credit Risks

Data Analytics

Financial Analysis

Model Development

Operational Risks

Quantitative Models

Risk Appetite

Education

Bachelor's degree

Tools

Python

Java

C++

SQL

Database design

Job description

PNC is seeking a Portfolio Analytics and Strategy Specialist Senior to advance market risk analytics and automate reporting across multiple locations including Pittsburgh and other major U.S. hubs.

The role emphasizes building databases, coding, and BI dashboards with strong financial markets knowledge. The ideal candidate will have object-oriented programming (Python, Java, C++), SQL familiarity, and a proven track record in risk analytics and stakeholder collaboration.