VP, Applied AI/ML for Compliance & Risk

Testing Site - JPMC

New York (NY)

Vor Ort

USD 180.000 - 300.000

Vollzeit

14 Tage+

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Zusammenfassung

JPMorgan Chase seeks a Data Scientist VP in Risk Management and Compliance to design and deploy AI/ML models, build scalable data pipelines, and translate complex data into actionable insights for governance and risk management. You will work with cross-functional teams to deliver deployable analytics and POCs across large data sets.

The role requires leadership in model development, strong communication, and experience with graph analytics and cloud-based data platforms.

Qualifikationen

  • 6+ years of related experience in Python, R or Scala with Bachelor of Science degree in Computer Science, Physical Sciences, Econometrics, Statistics, or other quantitative discipline.
  • Demonstrable theoretical and application knowledge of Machine Learning methods, and/or Statistical Models.
  • Hands-on experience with graph analytics, graph-based learning, and graph representation/visualization.
  • Experience with cloud platforms and data pipelines.

Aufgaben

  • Analyze complex/unstructured data to understand the business problem and use case.
  • Analyze business requirements, design, and develop appropriate methodology.
  • Develop deployable, scalable and effective models/analytical methods as part of technology managed system or self-served application.
  • Collaborate with data scientists, risk professionals, model validation teams, and technology partners.
  • Prepare technical documentation of quantitative models for internal model risk and governance review.

Kenntnisse

Python/ R/ Scala
ML/ Statistical models
Data extraction/ pipelines
Communication

Ausbildung

Bachelor's degree in Computer Science or quantitative field

Tools

NetworkX
Torch-Geometric
Graphframes
Graphistry
Pandas
Scikit-Learn
XGBoost
LightGBM
CatBoost
Optuna
Hyperopt
Matplotlib
Seaborn
Geopandas
Hive
Cypher
TigerGraph
Neo4j
AWS
GCP
Azure
Databricks

Jobbeschreibung

JPMorgan Chase seeks a Data Scientist VP in Risk Management and Compliance to design and deploy AI/ML models, build scalable data pipelines, and translate complex data into actionable insights for governance and risk management. You will work with cross-functional teams to deliver deployable analytics and POCs across large data sets.

The role requires leadership in model development, strong communication, and experience with graph analytics and cloud-based data platforms.

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