Fraud Model Analyst

PNC

Quick summary

Work type
On-site
Location
Washington, DC
Posted
2 days ago

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Salary context

How this pay compares to similar roles

Similar $152k
$106k most similar roles pay here $191k

This listing doesn't post a salary. Most similar roles pay $120,000–$183,146.

Based on 239 similar postings.

Employer

About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 152 open roles on FindRole.

Listed pay typically runs $86,250–$185,525 across 58 roles with salary data.

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At a glance

TL;DR · Fraud Model Analyst

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As a Data Scientist within PNC's Analytics division, you will support the team in analyzing vast amounts of structured and unstructured data to extract actionable insights for business decision-making. You will develop predictive models using advanced mathematical and statistical techniques, including machine learning algorithms, to forecast business outcomes and optimize products and processes. Your daily tasks will involve conducting analytical experiments and leveraging tools such as Python, R, and SQL to process and analyze complex datasets. This role requires a Bachelor’s degree and at least two years of relevant experience in data analytics, with expertise in data mining, machine learning, and statistical modeling.

Skills

Python R SQL Machine Learning Data Mining Data Science Analytics Disruptive Innovation Prototyping Query and Database Access Tools

What you'll do

  • Analyze structured and unstructured data to extract actionable business insights.
  • Develop algorithms using machine learning techniques to predict business outcomes.
  • Conduct analytical experiments to optimize products and processes systematically.
  • Utilize Python, R, and SQL for data analysis and algorithm development.
  • Support the team in identifying opportunities through data-driven methods.
  • Apply advanced statistical techniques to enhance predictive modeling accuracy.

What we're looking for

  • Requires a Bachelor’s degree and at least 2 years of relevant professional experience.
  • Proficient in Python, R programming, and SQL for data analysis and machine learning.
  • Experience developing algorithms using advanced statistical techniques to predict business outcomes.
  • Strong analytical skills to extract actionable insights from structured and unstructured data.
  • Assists with methodical experiments to optimize products and processes through data-driven methods.

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