Quantitative Analytics & Model Development Manager Senior – Balance Sheet Analytics & Modeling
| 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 | $104000 – $217100 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Master’s or PhD degree in Statistics or Econometrics
- Experience with data mining, and data preparation for ML models including EDA, data transformations and preprocessing
- Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling
- Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms
- Strong programming skills in Python, PySpark, R, SAS, and/or SQL
- Familiarity with big data technologies like Hadoop, Spark, Hive, Impala etc.
- Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model
- Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems
- Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners
- Proven ability to lead and mentor other data scientists
- Ability to manage multiple projects simultaneously
- Strong teamwork skills and ability to work across different departments
Responsibilities
- Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets
- Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation
- Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts
- Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders
- Manage a small team of analysts
Preferred Qualifications
- Experience in banking/ financial services
- Experience with anti-fraud and/or anti-money laundering modeling
- Hands-on experience building various types of AI/Machine Learning models, including neural networks
- Experience with cloud platforms like AWS, Google Cloud, or Azure