Chase · 1 month ago
Compliance - AI ML Lead (Data Scientist) - Vice President
JPMorgan Chase is a leading financial institution committed to responsible business growth and risk management. As a Data Scientist Vice President within the Compliance, Conduct Operational Risk Data Analytics team, you will develop AI/ML models and methodologies to analyze complex data, transforming it into actionable insights for the organization.
BankingFinancial Services
Responsibilities
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 as a self-served application of a business user
Work collaboratively and creatively with other data scientists, technology partners, risk professionals, model validation teams, etc
Prepare technical documentation of quantitative models for internal model risk and governance review
Qualification
Required
6+ years of related experience in Python, R or Scala with Bachelor of Science degree in Computer Science, Physical Sciences, Econometrics, Statistics, or other any quantitative discipline
Demonstrable theoretical and application knowledge of AL/ ML, Gen AI and Statistical Models
Demonstrable hands-on experience with Transformer or other deep learning architectures in real applications
Demonstrable hands-on experience with using or fine tuning multimodal LLM in real business applications with scale and performance
Demonstrable hands-on experience and familiarity with any or all of the following packages, algorithms, and/or alternatives, including Graph Learning Packages : (NetworkX, Torch-Geometric, Graphframes, Graphistry), ML Packages (Pandas, Scikit-Learn, XGBoost, catboost, lightgbm, automl, Optuna, Hyperopt), Visualization Packages (Matplotlib, Seaborn, Geopandas), Algorithm (Ensemble Louvian / Hierarchical Clustering, Label Propagation, Connected Component Analysis, Graph Neural net (Graph Attention Network), Page Rank, Centrality Analysis, Tree based Analysis, Outlier Detection Methods, Zero Shot/ Few Shot learning)
Demonstrable experience with graph analytics, graph-based learning, and graph representation/visualization
Experience in graph Database: TigerGraph, Neo4j
Experience in Query Language: Hive, Cypher (Graph Query Language)
Experience in developing and operationalization of data pipelines
Familiarity and experience of assimilating large amounts of data from multiple databases and utilize them for creating actionable outcome; Adhering to a standardized analysis and project methodology; and documenting quantitative analysis
Experience with processes, controls and governance of a highly regulated environment; Self-starter and strong influencing skills with strong communication skills
Preferred
Hands-on professional experience in software development especially with analytical & computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.). Experience with EKS or AKS provisioning is a plus
Post graduate degrees such as Master's Degree, PhD, etc. is preferred
Real life exposure to Agile SDLC, ModelOps and /Or Design Thinking is desirable
Working knowledge of C/C#/C++ or others is a plus
Experience in financial services industry especially in Operational Risk Management, Anti-Money Laundering & Know Your Customer, Trade Surveillance model development
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
Funding
Current Stage
Late StageLeadership Team
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2026-01-24
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