Jobs · Information Technology · North Carolina

Quantitative Analytics and Model Development Analyst Senior

PNC · Raleigh, NC · Today
On-siteInformation TechnologyFull-time

About the role

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.

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.

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.
  • Experience with:
    • 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.

Qualifications

Must have experience with:

  • 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.

Skills

  • Advanced quantitative analyses;
  • Model development;
  • Statistical modeling;
  • Data manipulation;
  • Data visualization;
  • Big Data tools;
  • SQL, Python, Hadoop, Spark;
  • Machine learning algorithms;
  • Hypothesis testing;
  • Complex data queries;
  • Rich data visualizations;
  • Programmatic data extraction and transformation.

Benefits

PNC offers employees a comprehensive range of benefits to 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.

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