Quantitative Analytics and Model Development...

The PNC Financial Services Group, Inc.
Raleigh, NC, United States
28 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Data Analysis Big Data Databases Data Mining Data Visualization Apache Hadoop Statistical Hypothesis Testing Python (Programming Language) Logistic Regression Machine Learning SQL Databases
+3 more
Tableau (Software) Apache Spark Data Management

Job description

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 plus 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 is required. Must have experience with: (1) managing, processing and analyzing large-scale datasets (multiple gigabytes of data); (2) using statistical analysis techniques including logistic regression, time series analysis, machine learning algorithms, and hypothesis testing; (3) utilizing data query tools including SQL, Python, Hadoop and Spark to manipulate, analyze and interpret data; (4) executing complex queries to clean and extract usable information from large data sets of numerical and textual data; (5) designing rich data visualizations to communicate complex ideas to customers or company leaders; and (6) 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.

Benefits & conditions

PNC offers employees a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include 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 and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit pncthrive.com .

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

2:31 min

Data mining literary works for language patterns

Jen Looper Jen Looper · Europe 2026 Virtual

7:10 min

Exploring pathways into the machine learning engineering field

Jose Luis Latorre Millas · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

1:24 min

Operating global risk modeling and portfolio platforms

Ayoub Alouane · LIVE

Videos

See all

Related articles

See all