トレンド企業

JPMorgan Chase
JPMorgan Chase

Global financial services firm

Chase Modeling - Applied AI Modeling Lead (VP)

職種機械学習
経験VP級
勤務地Columbus, OH; Jacksonville, FL; New York
勤務オンサイト
雇用正社員
掲載1週間前
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Come join us in reshaping the future!

As an Applied AI Modeling Lead, within our Business Modeling organization, you will collaborate with colleagues across JPMorgan Chase to create high-impact quantitative models for our customers' financial needs, including retail, credit card, home, auto lending, and wealth management.

Job Responsibilities:

  • Develop and launch machine learning and AI models tailored to business goals, balancing performance metrics while keeping speed to market and complexity consideration in mind.
  • Lead modeling or data science engagements end-to-end, including interfacing with business, governance, and technology stakeholders, articulating clear business use cases, creating and delivering on project plans, conducting exploratory data analysis to formulate testable business hypotheses, model development and deployment, and performance monitoring.
  • Be a subject matter expert and trusted advisor to business partners, helping them understand the strengths and limitations of our models.
  • Partner with Governance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
  • Coach and mentor junior team members, supporting their development in technical, business, and communication skills.

Required Qualifications, Capabilities, and Skills:

  • M.S. degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research).
  • 7+ years of hands-on, relevant Credit Cards industry experience in developing statistical, econometric, or machine learning (ML) models; 5+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning or optimization algorithms.
  • Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (Tensor Flow, Py Torch) and libraries (e.g., Num Py, Scikit-Learn, Pandas). Strong working knowledge of Jupyter Notebook/Lab is essential.
  • Skilled at defining analytical approaches for projects by converting ambiguous business inquiries into clear, actionable analysis plans.

Preferred Qualifications, Capabilities, and Skills:

  • PhD in a quantitative discipline.
  • Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer.
  • AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred. Knowledge of working on Databricks, Snowflake.

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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.

Equal Opportunity Employer/Disability/Veterans:

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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JPMorgan Chaseについて

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

従業員数

New York City

本社所在地

$500B

企業価値

レビュー

10件のレビュー

3.8

10件のレビュー

ワークライフバランス

3.5

報酬

4.0

企業文化

3.8

キャリア

3.2

経営陣

2.8

68%

知人への推奨率

良い点

Good benefits and compensation

Supportive colleagues and environment

Flexible work arrangements

改善点

Long hours and heavy workload

Management issues and lack of direction

High stress and expectations

給与レンジ

44件のデータ

Mid/L4

Senior/L5

Mid/L4 · Applied AI ML Associate

2件のレポート

$188,500

年収総額

基本給

$145,000

ストック

-

ボーナス

-

$182,000

$195,000

面接レビュー

レビュー4件

難易度

3.0

/ 5

期間

14-28週間

内定率

50%

体験

ポジティブ 25%

普通 75%

ネガティブ 0%

面接プロセス

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

In-person/Final Interview

5

Offer

よくある質問

Behavioral/STAR

Past Experience

Culture Fit

Financial Knowledge

Case Study