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Risk Management & Compliance – AI Enablement Senior Associate

JPMorgan Chase

Risk Management & Compliance – AI Enablement Senior Associate

JPMorgan Chase

Jersey City, NJ, United States, US

·

On-site

·

Full-time

·

2mo ago

Job Summary

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 challenging the status quo and striving to be best in class.

As an AI Enablement Associate within Risk Management and Compliance, you will help oversee governance and adoption of artificial intelligence tools across Risk Management & Compliance (RM&C). In this role, you will oversee governance of high-priority use cases, deliver insights on business impact, and support the operational rollout of AI training and resources for employees. You will work closely with business, technology, and data teams to facilitate AI solutions that deliver measurable value and align with organizational goals.

Job Responsibilities

  • Track benefits, monitor AI initiative impact, and report progress to senior leadership.
  • Develop and maintain digital resources, training materials, and best practices related to AI tools.
  • Analyze user metrics and feedback to identify opportunities for improvement and enhance enablement activities.
  • Prepare and coordinate high-quality presentations and reports to communicate AI strategy to executive stakeholders for both routine and ad hoc requests.
  • Support governance and oversight of the RM&C AI portfolio to align initiatives with business goals.
  • Design and deliver workshops, training sessions, and knowledge-sharing forums to promote AI adoption and innovation.
  • Partner with data science, technology, and business teams to identify, scope, and advance AI initiatives.

Required Qualifications, Capabilities, and Skills

  • Bachelor’s degree in Business, Information Systems, Data Science or a related field.
  • Minimum 3 years working experience in analytics and AI.
  • Skilled in generative AI tools and applications within business environments.
  • Proficiency in data analysis and reporting using Excel, Tableau, or similar tools.
  • Strong organizational skills and attention to detail; able to manage multiple priorities and deadlines.
  • Excellent communication skills to convey technical concepts to non-technical audiences.
  • Experience in program/project management or business operations with cross-functional teams.

Preferred Qualifications, Capabilities, and Skills

  • Experience in financial services or risk management and compliance.
  • Strong understanding of AI/ML algorithms and/or prior experience in AI/ML technology delivery is a plus.

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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

Recommend to a Friend

Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

21 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$95,450

$155,250

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study