Job Abstract

Provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes. Responsible for running complex business performance, risk and operational analytics. May include the development of analytical methods/models to assess market, credit and/or operational risk of new and existing financial products. Leverages business / product expertise to rigorously analyze large datasets, improve risk adjusted returns, deliver profitable... more details

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 Portfolio Analytics & Strategy Specialist within PNC's Retail Lending Decision Science organization you will use data and analytics to improve business results and customer outcomes. The candidate will have the opportunity to combine their knowledge of the consumer lending business, operational execution and analytical techniques to craft actionable strategies that drive results in the default lifecycle. The ideal candidate will play a pivotal role in developing, implementing, and refining default strategies to optimize recovery rates, minimize losses, and enhance customer relationships. This role requires a deep understanding of data analytics, risk management, and strategic decision-making. This role will be based in Pittsburgh, Brecksville or Cleveland. The position is primarily based 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 the manager’s discretion.

In this role you will:
• Perform Strategic Analysis: Analyze default trends, customer behavior, and economic factors to develop effective default management strategies.
• Interpret Data: Utilize advanced analytics tools and methodologies to interpret large datasets, identify patterns, and derive actionable insights.
• Assess Risk: Evaluate the risk associated with default scenarios, including credit risk, operational risk, and market risk, to inform strategic decision-making.
• Develop Strategy: Design and implement innovative default management strategies tailored to specific customer segments, product lines, or market conditions.
• Collaborate: Work closely with cross-functional teams, including risk management, finance, operations, and legal departments, to ensure alignment and execution of default strategies.
• Monitor Performance: Establish key performance indicators (KPIs) and regularly monitor the effectiveness of default strategies, making data-driven adjustments as necessary.
• Ensure Compliance: Stay abreast of industry regulations, best practices, and emerging trends related to default management to ensure compliance and mitigate regulatory risks.
• Communication with Stakeholders: Present findings, recommendations, and progress updates to senior leadership, stakeholders, and regulatory bodies as required.

Requirements:
• Strong understanding of advanced data mining techniques, curating, processing, and transforming data to produce sound datasets
• Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop
• Experience in Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning
• Experience with analytical programming languages, tools, and libraries (Python ecosystem)
• Experience in SQL and relational databases
• Experience in analyzing complex problems and translating them into an analytical approach
• Experience with analytics applied to financial services or consumer lending
• Strong leadership, stakeholder management, communication, partnership, and teamwork skills
• Degree in an analytical field preferred. (e.g., Computer Science, Data Science, Engineering, Applied Mathematics, Data Analysis, Statistics, Operations Research).
• Knowledge of Tableau helpful, but not required.

Job Description

• Provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes. Responsible for running complex business performance, risk and operational analytics. May include the development of analytical methods/models to assess market, credit and/or operational risk of new and existing financial products.
• Leverages business / product expertise to rigorously analyze large datasets, improve risk adjusted returns, deliver profitable growth, and communicate conclusions. Synthesizes analytical results and develops, recommends, and implements business strategies that improve lending decisions, assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and improve performance. Establishes baselines for strategies and tracks actual performance to expectations.
• Applies predictive models, third party data, and other tools to develop and execute appropriate segmentation and targeting for acquisition and portfolio strategies to provide insight into portfolio risk. Manages engagements with internal and external information suppliers ensuring solution is fit for purpose while maintaining appropriate governance and oversight.
• Works with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting to track and enhance strategies. Designs / enhances standard reporting suites for regular product / portfolio reviews.
• Collaborates with the line of business, Finance, and Risk partners to assess and establish credit risk appetite and to understand its implications, as well as to establish policies and procedures governing the identification, monitoring, and management of risk appetite.

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.

Competencies

Analytical Approach – Synthesizes ideas and information required for process improvement into a manageable form.

Banking Products – Knowledge of and ability to provide products and services available through the retail banking branch.

Big Data Management and Analytics – Knowledge and ability to plan and execute, big data management and analytics.

Business Analytics – Knowledge of technologies, techniques and practices for the evaluation of business performance data; ability to analyze business performance using advanced statistical methods to justify and drive future business planning decisions.

Credit Risk – Knowledge of processes, tools, and techniques used to determine the degree of credit risk in a given transaction or customer relationship; ability to assess, rate and manage exposure to credit risk.

Mathematics of Financial Instruments – Knowledge of and ability to perform the mathematical calculations that underlie various financial instruments.

Operational Risk – Knowledge of policies and processes for operational risk management; ability to use tools, data, and best practices to identify, assess, and manage operational risk exposures.

Performance Measurement – Knowledge of and ability to utilize a variety of methods to measure the performance on a particular portfolio against industry benchmarks and related parameters.

Predictive Analytics – Knowledge of, experience with and ability to use the tools, processes and practices for predicting business trends and providing forecasts that drive business decisions and business planning.

Pricing Models and Analytics – Knowledge of pricing tools, techniques and methods; ability to assess analytical and pricing models through the use of statistical principles.

Regulatory Environment - Financial Services – Knowledge of and ability to help an organization adapt to applicable federal, state, local, and company-specific regulations, policies, and guidelines affecting business practices.

Risk Management Banking – Knowledge of and ability to use tools, regulations, and business practices to assess and control an organization's exposure to risk.

Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often 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

Additional Job Description

Benefits

Disability Accommodations Statement:

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. 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 select Option 4: Recruiting 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.

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