Quantitative Analytics & Model Consultant Senior Retail Banking (ML & Predictive modeling)
Pittsburgh, PA - USA
Job Summary
Job Summary:
PNC is seeking a highly skilled Quantitative Analytics & Model Consultant Senior to join the Retail Banking (ML & Predictive modeling) team. This role focuses on the development validation implementation and enhancement of advanced machine learning predictive analytics and quantitative modeling solutions that support strategic business objectives across deposits transactions wealth management customer segmentation and retail banking initiatives.
The successful candidate will leverage large-scale data assets cloud-based technologies and advanced analytical techniques to build and optimize predictive models conduct experimentation simulate business scenarios and deliver actionable insights to stakeholders at all levels of the organization. This individual will collaborate closely with cross-functional teams while communicating complex analytical findings to technical business and executive audiences.
Required Qualifications:
Bachelors Degree and 8 years of quantitative analytics predictive modeling machine learning data science or related experience Masters 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 working 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 working with large-scale datasets and big data environments.
Strong analytical quantitative and problem-solving skills.
Proven ability to communicate technical concepts to both technical and non-technical audiences.
Experience collaborating across multiple business functions and stakeholder groups.
Demonstrated ability to influence decision-making through data-driven insights.
Preferred Qualifications:
Banking or financial services industry experience.
Prior experience supporting one or more of the following: Exposure at Default (EAD) Probability of Default (PD) Loss Given Default (LGD) Current Expected Credit Loss (CECL).
Stress Testing other risk modeling and regulatory frameworks
Experience supporting retail banking products including deposits transactions customer segmentation or wealth management.
Familiarity with model risk management and regulatory expectations within the banking industry.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
- Independently performs the most complex quantitative analyses and models development to support decision-making by running quantitative strategies.
- Develops 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.
- Performs the most complex qualitative and quantitative assessments on all aspects of models including theoretical aspects model design and implementation as well as data quality and integrity. Reviews reports and associated quantitative analysis. Validates existing models and assesses model risks.
- Evaluates identified model risks and reaches conclusions on strengths and limitations of the model.
- Prepares and analyzes 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 PNCs Enterprise Risk Management Framework.
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.
To learn more about these and other programs including benefits for full time and part-time employees visit.
If an accommodation is required to participate in the application process please contact us via email at . 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 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.
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.
Required Experience:
Senior IC