Associate Data Scientist, Anti-Money Laundering Analytics & Modeling

PNC

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Work type
On-site
Location
Pittsburgh, PA
Posted
2 days ago

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Similar $154k
$94k most similar roles pay here $194k

This listing doesn't post a salary. Most similar roles pay $126,800–$181,225.

Based on 240 similar postings.

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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 189 open roles on FindRole.

Listed pay typically runs $86,250–$172,500 across 76 roles with salary data.

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At a glance

TL;DR · Associate Data Scientist, Anti-Money Laundering Analytics & Modeling

As an Associate Data Scientist within PNC's Anti-Money Laundering Analytics & Modeling team in Pittsburgh, you will collaborate with a dedicated group of professionals to develop statistical models using techniques like logistic regression and neural networks to detect suspicious financial activities. Your daily tasks include analyzing large datasets, creating data sets for model building, and communicating results to senior executives. You will also work closely with various stakeholders across the bank to identify risk indicators and recommend strategic improvements. The role requires expertise in Python, PySpark, R, SQL, and experience with cloud platforms like AWS or Azure. Ideal candidates have a background in quantitative fields and experience in financial services, particularly in anti-fraud and AML modeling.

What you'll do

  • Use statistical techniques to extract usable information from customer, account, and transactional data sets.
  • Build predictive models using machine learning algorithms like logistic regression, clustering, and neural networks.
  • Communicate analytical results to senior executives and stakeholders in various forums.
  • Participate in model monitoring and documentation processes for AML projects.
  • Identify new strategies and recommend improvements to existing anti-money laundering efforts.

What we're looking for

  • Bachelor’s degree or higher in a quantitative field
  • Expertise in building, scaling, and optimizing machine learning systems with recognized frameworks
  • Strong programming skills in Python, PySpark, R, and SQL
  • Experience working with model risk governing bodies for validation and productionizing models
  • Critical thinking and problem-solving aptitude for complex business issues
  • Ability to clearly communicate technical concepts to non-technical stakeholders

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