Vice President Automl Jobs (NOW HIRING)

JPMorganChase | Posted Mar 13 | Full-time | New York | Advanced (5-10 yrs)

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best‑in‑class.

• 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

• 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
• 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)
• Hands‑on professional experience in software development especially with analytical & computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.)
• Experience in developing and operationalization of data pipelines
• Familiarity and experience of assimilating large amounts of data from multiple databases and utilizing them for creating actionable outcome; Adhering to a standardized analysis and project methodology; and Documenting quantitative analysis

• Post graduate degrees such as Master’s Degree, PhD, etc. is preferred
• Working knowledge of C/C#/C++ or others is a plus
• Real life exposure to Agile SDLC, ModelOps and /Or Design Thinking is desirable.
• Familiarity with Natural Language Processing techniques is a plus
• Self‑starter and strong influencing skills with strong communication skills
• Experience in financial services industry and/ or, experience with process, controls and governance of a highly regulated environment