Senior Quantitative Analytics & Model Consultant – Retail Banking, ML, Predictive Modeling

. Develop and independently perform complex quantitative analyses and models to support decision-making .

Posted 10/15/2026full-timeUnited StatesSenior💰 $112,000 - $249,600 per yearWebsite

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPySparkPythonSQL

Key responsibilities & impact

Develop and independently perform complex quantitative analyses and models to support decision-making
Run quantitative strategies
Develop new model frameworks supporting lines of business
Refine, monitor, and validate existing models
Communicate with model owners and model developers throughout reviews
Work with large datasets to create models
Perform complex qualitative and quantitative assessments of model theory, design, implementation, data quality, and integrity
Review reports and associated quantitative analyses
Assess model risks, strengths, and limitations
Prepare and analyze detailed validation and regulatory-compliance documentation using applicable templates
Manage risks associated with business objectives and activities under PNC's Enterprise Risk Management Framework
Communicate analytical findings to technical, business, and executive audiences

What you’ll need

Bachelor's Degree and 8+ years of quantitative analytics, predictive modeling, machine learning, data science, or related experience; Master's Degree and 6+ years of relevant experience; or PhD and 3+ years of relevant experience
Advanced programming experience with Python and PySpark
Strong hands-on experience developing and deploying machine learning and predictive modeling solutions
Experience with cloud computing environments, including AWS, Microsoft Azure, or Google Cloud Platform (GCP)
Advanced SQL expertise, including complex joins, aggregations, subqueries, data transformation and manipulation, and query optimization
Experience with large-scale datasets and big data environments
Strong analytical, quantitative, and problem-solving skills
Ability to communicate technical concepts to technical and non-technical audiences
Experience collaborating across multiple business functions and stakeholder groups
Ability to influence decision-making through data-driven insights
No employment visa sponsorship or STEM OPT participation
A comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree
Banking or financial services industry experience preferred
Experience with EAD, PD, LGD, CECL, stress testing, risk modeling, or regulatory frameworks preferred
Experience supporting retail banking products preferred
Familiarity with model risk management and banking regulatory expectations preferred

Comp & perks

Medical/prescription drug coverage with a Health Savings Account feature
Dental and vision options
Employee and spouse/child life insurance
Short- and long-term disability protection
401(k) with PNC match
Pension plan
Stock purchase plan
Dependent care reimbursement account
Back-up child/elder care
Adoption, surrogacy, and doula reimbursement
Educational assistance, including select programs fully paid
Robust wellness program with financial incentives
Maternity and/or parental leave
Up to 11 paid holidays each year
9 occasional absence days each year, unless otherwise required by law
15 to 25 vacation days each year, depending on career level and years of service