Jobs and Careers
JP

Compliance - Technology Operational Risk Management Lead (Data Scientist) - Vice President

JPMorgan Chase & Co.
New York City, United Statesfull_timeVerifiedPosted 28 Aug 2024

About the role

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.

As a Data Scientist in the Compliance, Conduct Operational Risk Data Analytics team. you will be responsible for devising and developing Proofs of Concept (POCs) and deployable models using AI/ML techniques, algorithms and other statistical and numerical methods.  You will need to 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.

Job 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 

Required qualifications, capabilities, and skills 

  • 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 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)
  • Experience in financial services industry especially in Anti-Money Laundering & Know Your Customer model development.
  • 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 utilize them for creating actionable outcome; Adhering to a standardized analysis and project methodology; and Documenting quantitative analysis
  • Experience with process, controls and governance of a highly regulated environment 

Preferred qualifications, capabilities, and skills 

  • 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

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive co

Apply for this role

Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.

Apply Now →Generate Application Kit

Free account required — sign up in 30s

Company

JPMorgan Chase & Co.

View company profile →