Quantitative Analytics & Model Development Manager Senior - Balance Sheet Analytics & Modeling

PNC Financial Services Group; Pittsburgh (Allegheny County); On-site; USD 104,000 - 218,000; Full time

Job summary

An established industry player is seeking a Quantitative Analytics & Model Development Manager Senior to lead innovative projects in Anti-Money Laundering. This role involves utilizing advanced statistical techniques and machine learning algorithms to detect and mitigate risks in account activities. You will work closely with stakeholders to enhance modeling strategies and ensure compliance with regulatory standards. Join a collaborative team dedicated to fostering an inclusive workplace culture while making a significant impact on the financial services landscape. This is an exciting opportunity for professionals eager to leverage their analytical skills and leadership abilities in a dynamic environment.

Benefits

Medical Coverage

Dental and Vision Options

401(k) with Company Match

Pension Plan

Educational Assistance

Generous Paid Time Off

Wellness Program

Short and Long-term Disability Protection

Life Insurance

Adoption and Surrogacy Reimbursement

Qualifications

• 8+ years of industry experience with at least 5 years in a management role.
• Strong programming skills and proficiency in statistical methods and tools.

Responsibilities

• Oversee development and validation of quantitative models for business decisions.
• Manage a small team of analysts and collaborate with key stakeholders.

Skills

Analytical Thinking

Data Analytics

Quantitative Models

Problem-Solving

Statistical Methods

Machine Learning

Programming in Python

Team Management

Education

Master’s or PhD in Statistics or Econometrics

Bachelor's Degree

Tools

Python

PySpark

R

SAS

SQL

Hadoop

Spark

AWS

Google Cloud

Azure

Job description

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Quantitative Analytics & Model Development Manager Senior within PNC's Anti-Money Laundering Analytics & Modeling organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, New York City, Wilmington, DE, Tysons, VA, Charlotte, NC, Dallas or Houston, TX. This position is primarily located in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely at manager's discretion.

As a Quantitative Analytics & Model Development Manager Senior within PNC's Anti-Money Laundering Analytics & Modeling team, you will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert concerning patterns of account activity. In this role, you will work with key stakeholders across the bank to identify patterns and risk indicators within the firm’s account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies. You will be leading innovative Anti-Money Laundering projects that are patentable, utilizing statistical techniques, including logistic regression, clustering, gradient boosting, neural network, and other machine learning algorithms, to design samples and build statistical models.

Responsibilities

• 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.
• Manage a small team of analysts.

Preferred Experience/Qualifications

• Master’s or PhD degree in Statistics or Econometrics.
• 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, SAS, 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.
• Proven ability to lead and mentor other data scientists.
• Ability to manage multiple projects simultaneously.
• Strong teamwork skills and ability to work across different departments.

Additional Preferred Qualifications

• Experience in banking/ financial services.
• Experience with anti-fraud and/or anti-money laundering modeling.
• Hands-on experience building various types of AI/Machine Learning models, including neural networks.
• Experience with cloud platforms like AWS, Google Cloud, or Azure.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

• Oversees the development, testing, and/or validation of quantitative models used for important business decisions and policies.
• Conducts robust and comprehensive model review testing and analysis in accordance with all applicable review procedures and lifecycle standards.
• Oversees development of new model frameworks by supporting the line of business.
• Refines, monitors, and validates existing models.
• Conducts on-going communication with model owners and model developers during the course of the review.
• Works with large data to create models.
• Directs complex qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity.
• Confirms the reviews of complex reports and associated quantitative analysis.
• Validates existing models and assesses model risks.
• Leads in evaluating identified model risks and reaches conclusions on strengths and limitations of the model.
• Leads in the preparation and analysis of detailed documents for validation and regulatory compliance, using applicable templates.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

• Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
• Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

PNC also has fundamental expectations of our people managers. As a manager of talent in PNC, you will be expected to:

• Include Intentionally - Cultivates diverse teams and inclusive workplaces to expand thinking.
• Live the Values - Role models our values with transparency and courage.
• Enable Change - Takes action to drive change and innovation that will transform our business.
• Achieve Results - Takes personal ownership to deliver results. Empowers and trusts others in decision making.
• Develop the Best - Raises the bar with every talent decision and guides the achievement of all employees and customers.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite

Competencies

Bank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, Testing

Work Experience

Roles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry experience is typically 8+ years. At least 5 years of prior management experience is typically required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education

Bachelors

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Pay Transparency

Base Salary: $104,000.00 – $217,100.00. Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 03/31/2025, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: 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.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 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.

To learn more about these and other programs, including benefits for full time and part-time employees, visitYour PNC Total Rewards.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at [e-mail]. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

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