Quantitative Analytics and Model Development Analyst Senior

PNC • Raleigh, NC

2d • Onsite

About The Position

The PNC Financial Services Group, Inc. seeks a Quantitative Analytics and Model Development Analyst Senior within PNC’s Anti-Money Laundering Analytics & Modeling team in Raleigh, NC. Specific duties include: (1) work collaboratively with team members across the organization to perform data analyses, data mining, experimental design, and optimization to improve and develop statistical models for retail and lending product coverage; (2) identify opportunities to improve strategies and processes through adept data-based analyses; (3) design and implement initiatives utilizing segmentation strategies based on customer behavior and transactional profile analysis; (4) provide analytics for transaction monitoring decisioning and optimization to mitigate losses; (5) deliver presentations with empirically tested recommendations and insights to business partners and management team; (6) design, evaluate and validate statistical models to identify different types of customer behaviors; (7) handle, manipulate and analyze large datasets involving billions of customer transaction records using Big Data tools; (8) assist in model documentation; and (9) establish and maintain performance tracking to ensure that strategies are performing as expected.

Requirements

• Master’s degree in Economics, Applied Economics, Engineering, Statistics, Mathematics or Finance
• 1 year of experience in advanced quantitative analyses, model development and monitoring for large organizations (>10,000 employees) in or for the financial services industry
• Managing, processing and analyzing large-scale datasets (multiple gigabytes of data)
• Using statistical analysis techniques including logistic regression, time series analysis, machine learning algorithms, and hypothesis testing
• Utilizing data query tools including SQL, Python, Hadoop and Spark to manipulate, analyze and interpret data
• Executing complex queries to clean and extract usable information from large data sets of numerical and textual data
• Designing rich data visualizations to communicate complex ideas to customers or company leaders
• Programmatically extracting data from a database and an API and transforming the data into presentable form including either a ROC curve, map, or Tableau visualization

Responsibilities

• Work collaboratively with team members across the organization to perform data analyses, data mining, experimental design, and optimization to improve and develop statistical models for retail and lending product coverage.
• Identify opportunities to improve strategies and processes through adept data-based analyses.
• Design and implement initiatives utilizing segmentation strategies based on customer behavior and transactional profile analysis.
• Provide analytics for transaction monitoring decisioning and optimization to mitigate losses.
• Deliver presentations with empirically tested recommendations and insights to business partners and management team.
• Design, evaluate and validate statistical models to identify different types of customer behaviors.
• Handle, manipulate and analyze large datasets involving billions of customer transaction records using Big Data tools.
• Assist in model documentation.
• Establish and maintain performance tracking to ensure that strategies are performing as expected.

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
• maternity and parental leave
• paid holidays, vacation days and occasional absence time
• 401(k), pension and stock purchase plans
• dependent care reimbursement account
• back-up child/elder care
• adoption assistance
• educational assistance
• a robust wellness program with financial incentives

What This Job Offers

• Job Type: Full-time
• Career Level: Senior