Compliance - Applied AI/ML Lead - Vice President

Next Frontier Capital; Jersey City (NJ); On-site; USD 190,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Scientist Vice President in its Compliance, Conduct Operational Risk Data Analytics organization. You will develop POCs and deployable AI/ML models, extract data from multiple sources, and transform it into analysis-ready formats for data pipelines.

You will work with data scientists, risk professionals, model validation, and technology partners to implement scalable analytics and document quantitative models for governance review.

Qualifications

• Six-plus years of Python/R/Scala in quantitative roles.
• Theoretical and applied ML/statistical modeling knowledge.
• Experience with graph ML and associated packages.
• Experience with LLM prompt engineering and fine tuning.
• Experience with cloud-based data pipelines and big data tooling.
• Familiarity with multiple databases and data integration.

Responsibilities

• Analyze complex/unstructured data to understand business problems and use cases.
• Design methodologies and quantify business use cases.
• Develop deployable models and analytics methods as part of a managed system.
• Collaborate with data scientists, risk professionals, and governance teams.
• Document quantitative models for internal model risk and governance review.

Skills

Python/R/Scala

ML/Statistics

LLM prompt engineering

Graph ML

Cloud data pipelines

Big data tooling

Education

Bachelor's degree in quantitative field

Tools

NetworkX

Torch-Geometric

GraphFrames

Graphistry

Pandas

Scikit-Learn

XGBoost

LightGBM

AutoML

Optuna

Hyperopt

Matplotlib

Seaborn

Geopandas

Job description

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 Vice President within the Compliance, Conduct Operational Risk Data Analytics organization, 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 LLM prompt engineering and open source LLM fine tuning for a specific domain
• Demonstrable experience with agentic solution development and insights on how to improve consistency and reliability in agentic behavior
• 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

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
• Experience in financial services industry and/ or, experience with process, controls and governance of a highly regulated environment

JPMorganChase, 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. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Exciting opportunity for Applied AI/ML Data Scientist for Compliance and Surveillance.