Portfolio Analytics & Strategy Analyst Senior – Fraud Model Implementation
| Company | PNC Financial Services |
|---|---|
| Location | Houston, TX, USA, Cleveland, OH, USA, Dallas, TX, USA, Philadelphia, PA, USA, Charlotte, NC, USA, Pittsburgh, PA, USA, New York, NY, USA, Wilmington, DE, USA, Vienna, VA, USA |
| Salary | $55000 – $146900 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior |
Requirements
- Experience and knowledge of Financial Crimes
- Experience with machine learning applications and their explainability
- Experience with big data structuring and computation
- Experience with process optimization
- Solid experience in coding with Python/R—specifically, PySpark or other “big data” applications
- Excellent written and communication skills, both in technical and nontechnical communications
- Problem solving skills and ad hoc analyses
- Ability to work under tight timelines
- Being a collaborative team player
- A self-starter with an innate curiosity for how/why things work
- A desire to learn and knowledge of continuous improvement/optimization
- PhD or Masters in a quantitative field
- Relevant experience in at least one area of Banking/Financial Services / Consulting / Technology
- Experienced in Fraud/Financial Crimes/Anti-money laundering detection and prevention
- Experienced with Machine Learning models – deep learning, large language models, and graph data base
- Model Development Lifecycle (development to validation to implementation to production and repeat)
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
Preferred Qualifications
- Analytical Thinking
- Credit Risks
- Data Analytics
- Financial Analysis
- Model Development
- Operational Risks
- Quantitative Models
- Risk Appetite