Quant Analyst & Model Analyst Sr
Pittsburgh, PA - USA
Job Summary
The Quant Analytics Sr. Analyst will support the development implementation monitoring and governance of quantitative models and analytical processes used for CECL CCAR and Model Monitoring initiatives. This role requires strong technical expertise in Python development data engineering quantitative analytics and process automation. The successful candidate will partner closely with modeling technology and business teams to deliver scalable analytical solutions enhance model processes and ensure compliance with regulatory and governance requirements.
Key Responsibilities:
Develop maintain and enhance analytical processes controls and supporting infrastructure for CECL CCAR Model Monitoring and other regulatory initiatives.
Collaborate with model development and validation teams to support model implementation onboarding testing monitoring and production deployment.
Design develop and maintain robust Python-based solutions to automate data processing analytics workflows controls and reporting processes.
Troubleshoot and resolve complex technical issues related to model execution data quality workflow orchestration and analytical outputs.
Perform quantitative analysis on large and complex datasets to identify trends validate model performance and support business decision-making.
Implement and optimize data pipelines using modern analytics and distributed computing frameworks.
Leverage AI machine learning and advanced analytical techniques to improve process efficiency model monitoring capabilities and analytical insights.
Support model governance activities including documentation testing validation support issue remediation control execution and audit/regulatory inquiries.
Partner with cross-functional teams to ensure analytical solutions align with business objectives risk management practices and regulatory requirements.
Communicate analytical findings technical issues and recommendations to both technical and non-technical stakeholders.
Required Qualifications
Bachelors or Masters degree in Quantitative Finance Statistics Mathematics Computer Science Data Science Engineering or a related quantitative field.
Strong Python programming and software development experience.
Experience working with large-scale datasets and data manipulation frameworks.
Strong problem-solving skills with the ability to diagnose and resolve complex analytical and technical issues.
Experience developing automated solutions and analytical workflows.
Strong communication and collaboration skills.
Preferred Qualifications:
Experience with Python PySpark SQL Slurm Git/Bitbucket and cloud or distributed computing environments.
Experience supporting quantitative models within financial services.
Knowledge of CECL CCAR stress testing model monitoring model governance or regulatory reporting processes.
Exposure to machine learning AI predictive modeling or advanced analytics techniques.
Understanding of banking products credit risk and regulatory frameworks.
Experience working in highly regulated environments.
Financial services experience preferred.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 advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.
- Analyzes and develops new model frameworks by supporting the line of business. Refines monitors and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger more complex datasets to create models.
- Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics.
- Uses quantitative tools and techniques to measure and analyze 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