Note: The job is a remote job and is open to candidates in USA. PNC is a bank that values its employees as its greatest differentiator and competitive advantage. They are seeking a Quantitative Analytics & Model Analyst Senior to develop and maintain quantitative and machine learning models for analytics and decision support, collaborating with cross-functional partners and ensuring model performance and compliance.
Responsibilities
- Develop, implement, and maintain quantitative and machine learning models for analytics and decision support
- Apply statistical and mathematical techniques, including logistic and linear regression, to solve business problems
- Perform data analysis, feature engineering, model training, testing, and validation
- Use Python to write clean, efficient, and well documented code for modeling and analysis
- Evaluate model performance using appropriate metrics and ensure robustness and accuracy
- Prepare presentations and written documentation to clearly communicate model methodology, results, and insights to technical and non technical audiences
- Collaborate with cross functional partners to understand requirements and translate them into analytical solutions
- Support model lifecycle activities, including enhancements, recalibration, and monitoring
- Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses
- Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models
- Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics
- Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model
- Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates
Skills
- 2–3+ years of professional experience in quantitative analytics, modeling, or a related role
- Strong Python programming and coding skills
- Solid foundation in mathematics and statistics
- Hands on experience with logistic regression and linear regression
- Experience applying machine learning techniques
- Proven experience developing and implementing models end to end
- Ability to build or demonstrate a portfolio of modeling or analytical work
- Bachelor's degree in mathematics, Statistics, Quantitative Analytics, or a related quantitative field
- Strong presentation, communication, and documentation skills, with the ability to explain complex concepts clearly
- Experience with PySpark or working in distributed data environments
- Banking or financial services experience
- Knowledge of credit risk or portfolio metrics such as PD (Probability of Default), LGD (Loss Given Default), and EAD/ED (Exposure at Default)
- Analytical Thinking
- Credit Risks
- Data Analytics
- Financial Analysis
- Model Development
- Operational Risks
- Quantitative Models
- Risk Appetite
Benefits
- Medical/prescription drug coverage (with a Health Savings Account feature)
- Dental and vision options
- Employee and spouse/child life insurance
- Short and long-term disability protection
- 401(k) with PNC match
- Pension and stock purchase plans
- Dependent care reimbursement account
- Back-up child/elder care
- Adoption, surrogacy, and doula reimbursement
- Educational assistance, including select programs fully paid
- A robust wellness program with financial incentives
- Maternity and/or parental leave
- Up to 11 paid holidays each year
- 9 occasional absence days each year, unless otherwise required by law
- Between 15 to 25 vacation days each year, depending on career level and years of service
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