Full-Time

Applied AI Modeling Executive Director

Applied AI Modeling

Updated on 8/6/2026

JP Morgan Chase

JP Morgan Chase

10,001+ employees

Global financial services with diversified offerings

Compensation Overview

$194.8k - $325k/yr

New York, NY, USA + 1 more

More locations: Wilmington, DE, USA

In Person

Master's, PhD

Category
AI & Machine Learning (1)
Required Skills
Scikit-learn
MLOps
Microsoft Azure
Python
Jupyter
TensorFlow
Neural Networks
PyTorch
Machine Learning
AWS
Pandas
Risk Management
NumPy
Databricks
Reinforcement Learning
Snowflake
Google Cloud Platform

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Requirements
  • An advanced degree, specifically a PhD or Master of Science, in Computer Science, Machine Learning, Mathematics, Statistics, Engineering, Economics, or a related field is required.
  • At least 10 years of hands-on experience designing, developing, and deploying advanced artificial intelligence and machine learning models, including at least 5 years in a technical leadership or architecture role, is required.
  • Documented expertise in deep learning frameworks such as TensorFlow and PyTorch, along with large-scale model training, distributed computing, and machine learning operations, is required.
  • Strong programming skills in Python and familiarity with modern data science tools such as Jupyter, NumPy, Pandas, and Scikit-Learn are required.
  • A proven track record of architecting and deploying artificial intelligence and machine learning solutions in cloud environments such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform is required.
  • Experience with Databricks, Snowflake, or similar platforms is required.
  • Demonstrated leadership in building and mentoring high-performing technical teams is required.
Responsibilities
  • Design and oversee the integration of advanced machine learning and deep learning architectures and agents into production environments in partnership with Product, Risk, Finance, Operations, Technology, and Compliance.
  • Partner with business stakeholders to translate business needs into technical solutions while managing the full artificial intelligence and machine learning lifecycle.
  • Lead emerging artificial intelligence talent in researching and adopting advanced techniques, including deep neural networks, reinforcement learning, causal inference, and foundational models, to address high-impact business problems.
  • Establish best practices for model development, machine learning operations, and cloud-native deployment while ensuring compliance with governance and regulatory expectations.
  • Build and lead a high-performing team of artificial intelligence and machine learning scientists and engineers, providing individualized development plans, structured rotations, and visibility to senior stakeholders.
  • Oversee rigorous model validation, documentation, and monitoring; proactively identify risks and ensure adherence to internal and external standards.
  • Coach the team to carry model standards into future leadership roles.
Desired Qualifications
  • Experience with transformer architectures, reinforcement learning, causal inference, or real-time inference.
  • Background in financial services, consumer finance, or regulated industries.
  • An AWS Certified Machine Learning certification, Microsoft Certified: Azure AI Engineer certification, or similar certification.
  • Experience with model governance, regulatory compliance, and risk management in artificial intelligence and machine learning.
  • Contributions to open-source artificial intelligence and machine learning projects or publications in top-tier conferences or journals.
  • Exceptional communication skills and the ability to explain complex technical concepts to technical and non-technical audiences.

A global financial services firm offering investment banking, asset management, private equity, financial services, and consumer banking to individuals and institutions. It works by providing advisory, lending, trading, and financing services through a worldwide network, earning revenue from interest, fees, and trading commissions, and using its data and the JPMorgan Chase Institute to analyze economies. It stands apart from peers due to its size, full-range services across consumer and corporate markets, extensive market access, and in-house data-driven insights. Its goal is to deliver comprehensive financial products with integrity and growth while supporting clients and communities through data-backed analysis and targeted programs.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

1959

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Simplify Jobs

Simplify's Take

What believers are saying

  • 2Q26 net income reached $21.2 billion, JPMorgan's highest quarterly profit.
  • Mortgage originations jumped to $21.2 billion in 2Q26, up 30% year over year.
  • JPMorgan committed $750 billion through 2035 to housing, deepening customer relationships.

What critics are saying

  • ECB fined JPMorgan's European arm €12.2 million in February 2026 for capital misreporting.
  • Plano cut 244 fraud roles in June 2026, signaling automation pressure.
  • The Federal Reserve's 2024 surveillance order still remains after OCC termination.

What makes JP Morgan Chase unique

  • JPMorgan's 2Q26 revenue hit $58.0 billion, with every business posting records.
  • The bank expanded its Bay Area hub, now its 24th corporate center.
  • JPMorgan led CoreWeave's $650 million facility and Hadrian's $1.37 billion round.

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Benefits

Health Insurance

Flexible Work Hours

Paid Sick Leave

Paid Holidays

Growth & Insights and Company News

Headcount

6 month growth

-5%

1 year growth

-5%

2 year growth

-5%
Memesita
Aug 6th, 2026
CoreWeave secures $650M credit facility to expand AI infrastructure with Nvidia GPUs

CoreWeave secured a $650 million credit facility in March 2024 to expand its data centre footprint and purchase advanced Nvidia hardware. JPMorgan Chase led the financing, with participation from Blackstone and Magnetar Capital. The GPU-accelerated cloud infrastructure provider plans to use the non-dilutive capital to deploy high-density computing clusters across the United States. The funding allows CoreWeave to acquire expensive Nvidia GPUs without diluting existing shareholders' equity. This facility follows a $2.3 billion debt financing round CoreWeave closed in mid-2023, which used its Nvidia hardware fleet as collateral. The company plans to open multiple new data centres by the end of 2024 to meet growing enterprise demand for generative AI and machine learning compute power.

Axios
Aug 6th, 2026
Hadrian raises $1.37B to scale defense manufacturing as US production demands surge

Hadrian, a defense manufacturer and factory builder, has raised $1.37 billion in Series D funding, valuing the company just below $8 billion. The round was led by JPMorganChase's Strategic Investment Group, with participation from WCM Investment Management, Washington Harbour Partners, Valor Equity Partners, 137 Ventures, and Baillie Gifford. The company produces precision parts and offers factories-as-a-service for aerospace and defense markets, using AI, automation, and robotics alongside skilled workers. Hadrian operates nearly 3 million square feet across four sites. Chief executive Chris Power told Axios the funding reflects growing recognition of domestic manufacturing's importance. Hadrian supplies major defense contractors including Lockheed Martin and RTX, and will mass-produce submarine components for the US Navy in Alabama.

Yahoo Finance
Aug 4th, 2026
JPMorgan designates San Francisco a corporate center with $200M housing bet

JPMorgan Chase designated the Bay Area as its 24th corporate centre, with CEO Jamie Dimon stating San Francisco has "definitely turned" from pandemic-era challenges. The bank invested $200 million in a 342-unit waterfront housing project near Chase Center and committed $750 billion nationally through 2035 to increase US housing supply, including financing for 1 million affordable units. Dimon praised Mayor Daniel Lurie's efforts as crime falls and new zoning plans aim to boost housing. He acknowledged persistent challenges with housing affordability and inequality but noted high costs reflect business success. JPMorgan has nearly 5,000 Bay Area employees and 3 million consumer clients. The bank recently completed renovations on its San Francisco hub at 560 Mission Street.

Yahoo Finance
Aug 4th, 2026
JPMorgan Chase names Bay Area as 24th corporate hub, commits $750B to US housing by 2035

JPMorgan Chase has designated the Bay Area as its 24th corporate centre and announced major new investments, including $200 million for a 342-unit waterfront housing development near San Francisco's Chase Center. The bank also committed $750 billion through 2035 to increase US housing supply, including financing for 1 million affordable housing units. CEO Jamie Dimon said San Francisco has "definitely turned" since the pandemic, praising Mayor Daniel Lurie's efforts as crime falls and housing plans advance. However, he acknowledged ongoing challenges with soaring housing costs and retaining essential workers. JPMorgan employs nearly 5,000 people in the Bay Area and serves roughly 3 million consumer clients there.

Yahoo Finance
Aug 3rd, 2026
JPMorgan to deploy $750B into US housing through 2035 in massive expansion

JPMorgan Chase is deploying over $750 billion into US housing through 2035, nearly 40% more than its previous decade's commitment. Under its American Dream Initiative, the bank aims to finance one million affordable housing units and help 500,000 buyers purchase homes. The bank's housing activity is already growing. Second-quarter mortgage originations reached $21.2 billion, up about 30% year over year. Home Lending revenue increased 3% to $1.29 billion, whilst the portfolio's 30-day delinquency rate improved to 0.83% from 0.93%. San Francisco will serve as an early test, with JPMorgan planning nearly $200 million of financing for a 342-unit building at Power Station. The initiative's success will depend on execution, pricing, and credit quality rather than the headline amount alone.