Compliance - Applied AI/ML Senior Associate

JPMorgan Chase & Co.•Jersey City, NJ

About The Position

As a Data Scientist Vice President within the Compliance, Conduct Operational Risk (CCOR) Data Analytics team, you will be responsible for devising and developing Proofs of Concept (POCs) and deployable models using AI/Gen AI/ ML techniques, algorithms and other statistical and numerical methods. You will need to be able to extract and work with large volumes of data (both structured and unstructured) from multiple sources, transforming it into an analysis-ready format to develop the data pipeline. Additionally, you are expected to independently formulate methodologies, and quantitative and analytical tasks, from business problems.

Requirements

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

Nice To Haves

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

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