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Risk Management - Quant Modeling Lead - Vice President

JPMorgan Chase

Risk Management - Quant Modeling Lead - Vice President

JPMorgan Chase

Jersey City, NJ, United States, US

·

On-site

·

Full-time

·

2w ago

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you play a crucial role in maintaining JPMorgan Chase's strength and resilience. 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 Quant Model Risk Vice President in the Model Risk Governance and Review team, you will be responsible for assessing and mitigating the risks associated with the models used by Treasury for resolution and recovery, liquidity, stress testing and budgeting. You'll be at the forefront of innovation, driving continuous improvement in a dynamic and collaborative environment. This role also provides the opportunity to gain exposure to various business and functional areas, as well as to collaborate closely with model developers and users.

Job Responsibilities

  • Perform model reviews: evaluate the conceptual soundness of a model, assess its behavior under various market conditions and its suitability in the context of usage.
  • Guide on model usage and act as the first point of contact for the business on all new models and changes to existing models.
  • Develop and implement alternative model benchmarks and compare the outcome of various models. Design model performance metrics.
  • Liaise with model developers, users, and compliance groups, and provide guidance on model risk.
  • Evaluate model performance on a regular basis.

Required Qualifications, Capabilities and Skills

  • Education: Bachelor’s, Master’s or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics).
  • Experience: 5+ years of experience in a quantitative modelling or model validation role.
  • Strong analytical problem-solving skills and clear written/verbal communication, ability to articulate technical issues to diverse stakeholders and write high quality technical reports.
  • Knowledge of financial products / markets and regulatory requirements.
  • Risk- and control-oriented mindset: ability to ask incisive questions, assess the materiality of model issues, and escalate issues appropriately.
  • Ability to work in a fast-paced, results-driven environment.
  • Curious, ownership-driven, and teamwork-oriented mindset.

Preferred Qualifications, Capabilities and Skills

  • Prior experience with Treasury function and its models.
  • Hands-on programming experience with at least one of the programming languages such as Python, R, MATLAB, C/C++ etc.

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About JPMorgan Chase

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+

Employees

New York City

Headquarters

$500B

Valuation

Reviews

3.8

10 reviews

Work-life balance

3.2

Compensation

4.1

Culture

3.8

Career

3.0

Management

2.5

65%

Recommend to a friend

Pros

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

Cons

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

Salary Ranges

41 data points

Mid/L4

Senior/L5

Mid/L4 · Applied AI ML Associate

2 reports

$188,500

total per year

Base

$145,000

Stock

-

Bonus

-

$182,000

$195,000

Interview experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

40%

Experience

Positive 20%

Neutral 80%

Negative 0%

Interview process

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

Common questions

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study