Quantitative Analytics and Model Development Analyst Senior

PNC; Raleigh (NC); On-site; USD 110,000 - 140,000; Full time

Job summary

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.

The role collaborates across teams to build and refine statistical models for retail and lending product coverage. Applicants should have a Master’s degree in a quantitative field and at least one year of relevant experience, with hands-on work in SQL, Python, Hadoop/Spark and data visualization to communicate

Qualifications

• Master’s degree plus one year of experience in advanced quantitative analyses, model development and monitoring for large organizations (10,000+ employees) in financial services.
• Experience with managing, processing and analyzing large-scale datasets (multiple gigabytes).
• Proficiency in statistical analysis techniques including logistic regression, time series analysis, machine learning, and hypothesis testing.
• Ability to use data query tools (SQL, Python, Hadoop, Spark) to manipulate, analyze, and interpret data.
• Experience designing rich data visualizations to communicate insights to stakeholders.
• Programmatic data extraction from databases and APIs and transforming data into presentable forms (ROC, maps, Tableau).

Responsibilities

• Collaborate with cross-functional teams to perform data analyses, data mining, experimental design, and optimization to improve statistical models for retail and lending product coverage.
• Identify opportunities to improve strategies and processes through data-based analyses.
• Design and implement segmentation strategies based on customer behavior and transactional profiles.
• Provide analytics for transaction monitoring decisioning and optimization to mitigate losses.
• Deliver presentations with empirically tested recommendations to business partners and management.
• Design, evaluate, and validate statistical models to identify different types of customer behaviors.
• Handle, manipulate and analyze large datasets using Big Data tools.
• Assist in model documentation and maintain performance tracking.

Skills

Statistical analysis

Data mining

Experiment design

Model validation

Education

Master’s degree in Economics, Applied Economics, Engineering, Statistics, Mathematics or Finance

Tools

SQL

Python

Hadoop

Spark

Tableau

Job description

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. The role involves collaborating with cross‑functional teams to perform data analysis, mining, experimental design and optimization to improve and develop statistical models for retail and lending product coverage.

Responsibilities

1. Collaborate 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 teams.
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.
9. Establish and maintain performance tracking to ensure that strategies are performing as expected.

Qualifications

Master’s degree in Economics, Applied Economics, Engineering, Statistics, Mathematics or Finance plus one 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.
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

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.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at [e-mail]. Include “accommodation request” in the subject line and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Applicants may also call 877‑968‑7762 and say “Workday” for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

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