Quantitative Analytics and Model Consultant - Fraud Model Validation

PA - Pittsburgh (15222)

VA - Vienna (22182)

NY - New York (10022)

Full time

R236014

** 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 and Model Consultant within PNC's Model Risk Management organization, you will be based in Pittsburgh, PA, New York City or Tysons Corner, VA.

As a model validator you will perform rigorous independent reviews of PNC's models including fraud models, anti-money laundering models, as well as various types of machine-learning models.

Key Responsibilities:

1. Independent Model Review:
Perform qualitative and quantitative assessments of all aspects of models including data quality and integrity, theoretical assumptions and methodologies, and performance testing;
Specific duties include: (i) assess conceptual soundness and performance of models based on detailed model documentation and testing results (ii) perform independent testing of model assumptions (iii) use quantitative tools and techniques to measure and analyze model risks; (iv) evaluate identified model risks and reach conclusions on strengths and limitations of the model; (v) conduct on-going communication with model stakeholders such as developers, owners and reviewers;

and (vi) prepare detailed validation reports on quantitative models/tools for internal/external communications and/or regulatory compliance, using applicable templates.

2. Stakeholder Collaboration and Communication:
Establish effective relationships with key stakeholders, including model owners and model developers. Communicate validation results and insights clearly and concisely to both technical and non-technical audiences, including regulatory staff members. Collaborate within the Model Risk Management team to enhance validation processes and contribute to the continual improvement of market and counter party risk management practices within the organization.

Qualifications:

- Master's degree or higher in a quantitative field such as Statistics, Finance, Economics, Operations Research, or Mathematics.

- Experience developing models or validating models within the financial services industry or academic setting is required.

- Strong English communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse stakeholders.

- Hands-on experience with SQL, SAS, Python, or R.

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.

** Job Description*
* + Performs 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 advanced 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…