Senior Quantitative Analytics & Risk Modeling Lead

PNC Financial Services Group, Inc.; Pittsburgh (Allegheny County); On-site; USD 80,000 - 217,100; Full time

Benefits offered by this job

Medical and prescription drug coverage

Dental and vision options

401(k) and pension plans

Paid holidays and vacation

Educational assistance

Job summary

PNC Financial Services Group, Inc. is seeking an experienced analyst/data scientist in Pittsburgh to develop advanced predictive models that inform strategic business decisions. Applicants should possess strong analytical skills, experience with a modern machine learning stack, and the ability to communicate findings effectively.

Preferred candidates will have a master's degree and over five years of proven experience in analytic roles, with expertise in Python and big data tools. The position comes with a competitive salary range and comprehensive benefits.

Qualifications

• 5+ years of overall experience in analytic roles developing predictive models.
• Experience as an analyst or data scientist with cross-functional teams.
• Strong proficiency in Python, SQL, and big data platforms.

Responsibilities

• Develop advanced risk predictive models to inform high-stakes decisions.
• Oversee model development and validation for business decisions.
• Ensure compliance and create documentation for regulatory requirements.

Skills

Analytic problem solving

Sound judgment

Strong communication skills

Project management

Statistical understanding

Programming (Python, R, SAS)

SQL proficiency

Big data integration

Education

Master’s degree in mathematics, Statistics, Computer Science, Engineering, or an equivalent technical field

Bachelor’s degree required

Tools

Hadoop

Spark

Hive

Python libraries (scikit-learn)

Microsoft Office Suite

Job description

PNC Financial Services Group, Inc. is seeking an experienced analyst/data scientist in Pittsburgh to develop advanced predictive models that inform strategic business decisions. Applicants should possess strong analytical skills, experience with a modern machine learning stack, and the ability to communicate findings effectively.

Preferred candidates will have a master's degree and over five years of proven experience in analytic roles, with expertise in Python and big data tools. The position comes with a competitive salary range and comprehensive benefits.