AML Analytics Scientist: ML Modeling for Risk Detection

PNC Financial Services Group

Wilmington (DE)

In loco

USD 86.000 - 173.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Health insurance
Paid holidays
401(k) with match

Descrizione del lavoro

PNC Financial Services Group is seeking a Data Scientist within its Anti-Money Laundering Analytics & Modeling team. You will build models to detect and monitor suspicious activity, identify risk indicators across datasets, and collaborate with stakeholders to improve strategies.

The role emphasizes applying advanced statistical techniques, data mining, and ML across multiple business units, with emphasis on clear communication and cross-functional collaboration.

Competenze

  • Master's degree or higher in a quantitative field.
  • Experience with data mining and data preparation for ML models.
  • Proficiency in statistical methods, experimental design, probability theory, and sampling.
  • Expertise in building, scaling, and optimizing ML systems with industry frameworks and algorithms
  • Strong programming skills in Python, PySpark, R, and SQL.
  • Experience with model risk governance in model validation and productionizing a model
  • Ability to present complex technical concepts clearly to non-technical stakeholders
  • Ability to manage multiple projects simultaneously

Mansioni

  • Use analytical techniques to extract usable information from customer, account, and transactional data sets.
  • Participate in data set creation, analysis, reporting, model building, monitoring and documentation.
  • Develop algorithms using ML to predict outcomes and recommend actions to management.
  • Communicate analytical results to senior executives and partners using visuals and data storytelling.
  • Collaborate with Data Architects, Analysts, Engineers and Visualization Experts on data-driven solutions.

Conoscenze

Python
PySpark
R
SQL
Machine Learning
Statistics
Data Visualization
Communication

Formazione

Master's degree or higher in a quantitative field

Strumenti

AWS
Google Cloud
Azure

Descrizione del lavoro

PNC Financial Services Group is seeking a Data Scientist within its Anti-Money Laundering Analytics & Modeling team. You will build models to detect and monitor suspicious activity, identify risk indicators across datasets, and collaborate with stakeholders to improve strategies.

The role emphasizes applying advanced statistical techniques, data mining, and ML across multiple business units, with emphasis on clear communication and cross-functional collaboration.

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