Portfolio Analytics & Strategy Analyst - Data, Model & Analytics

PNC•Vienna, VA

1d•Onsite

About The Position

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 Analyst within PNC's Data, Model & Analytics organization, you will be based in Philadelphia, PA, Wilmington, DE or East Brunswick, NJ. 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. This role provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes. It is responsible for running complex business performance, risk and operational analytics. This may include the development of analytical methods/models to assess market, credit and/or operational risk of new and existing financial products. The analyst leverages business / product expertise to rigorously analyze large datasets, improve risk adjusted returns, deliver profitable growth, and communicate conclusions. They synthesize analytical results and develop, recommend, and implement business strategies that improve lending decisions, assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and improve performance. The role establishes baselines for strategies and tracks actual performance to expectations. It 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. The analyst manages engagements with internal and external information suppliers ensuring solution is fit for purpose while maintaining appropriate governance and oversight. They work with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting to track and enhance strategies. They also design / enhance standard reporting suites for regular product / portfolio reviews. The role 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.

Requirements

Advanced analytic and problem solving skills that result in achieving ultimate solutions.
Ability to discover Insights in data, summarize, formulate and visualize them into understandable format.
Experience with programming on Hadoop, Teradata, and/or Oracle platforms in Advanced SQL, Spark.
Experience programming in Python, using Pandas, numpy, pyspark, matplotlib, plotly.
Intermediate to advanced Excel skills for data analysis.
Good working understanding on Agile framework, Jira, Confluence, and Git repositories.
Ability to conduct in-depth technical discussions with technology partners as well as convey technical concepts/approaches to key business partners.
Successfully working in a team environment.
Good communication (written and verbal), interpersonal and detail oriented skills.
Possess an understanding of IT concepts including database concepts structures, data management concepts, software/application development & testing techniques.
Experience developing and maintenance of documentation both technical and process/procedural.
A university / college degree, with 2+ years of relevant professional experience.
In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
Bachelors

Nice To Haves

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

Responsibilities

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.