Senior Quantitative Analytics & Model Consultant – Data, Modeling & Analytics

PNC

Serving as a Quantitative Analytics & Model Consultant Senior at PNC, handling risk indicators and modeling in data analytics. Engaging in innovative AML projects utilizing statistical techniques and collaboration with stakeholders.

Posted 6/3/2026full-timeTysons Corner • North Carolina, Ohio, Pennsylvania, Virginia • 🇺🇸 United StatesSenior💰 $112,000 - $249,600 per yearWebsite

ATS Keywords

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Hard Skills

data miningdata preparationexploratory data analysisdata transformationsmachine learningstatistical methodsexperimental designprobability theorysamplingprogramming in Python

Soft Skills

critical thinkingproblem-solvingcommunicationproject managementteamwork

Tools & Technologies

GenAIHadoopSparkHiveImpalaPySparkRSQL

Certifications & Qualifications

Master's degree in quantitative field

Industry Keywords

model validationmodel risk governancemodel implementationanalytical techniquesmodel building

Tech Stack

Tools & technologies

HadoopPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets
Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation
Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts
Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders

Requirements

What you’ll need

Master's degree or higher in a quantitative field
Experience in developing GenAI solutions
Experience with data mining, and data preparation for ML models including EDA, data transformations and preprocessing
Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling
Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms
Strong programming skills in Python, PySpark, R, and/or SQL
Familiarity with big data technologies like Hadoop, Spark, Hive, Impala etc.
Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model
Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems
Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners
Ability to manage multiple projects simultaneously
Strong teamwork skills and ability to work across different departments.

Benefits

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 and stock purchase plans
dependent care reimbursement account
back-up child/elder care
adoption, surrogacy, and doula reimbursement
educational assistance, including select programs fully paid
a 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
between 15 to 25 vacation days each year, depending on career level; and years of service.