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职位JPMorgan Chase

Compliance - Quant Modeling Senior Associate (Fair Lending) - Associate

JPMorgan Chase

Compliance - Quant Modeling Senior Associate (Fair Lending) - Associate

JPMorgan Chase

Wilmington, DE, United States, US

·

On-site

·

Full-time

·

2mo ago

必备技能

Machine Learning

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 Fair Lending Quant Modeling Associate Sr. within the Risk Management and Compliance organization, you are at the center of keeping JPMorgan Chase strong and resilient. You will perform statistical modeling and analyses to detect and mitigate bias in line-of-business models. Your role will involve participating in bias testing-related research projects to support and enhance the bank’s fair lending compliance program.

In this position, you will apply your quantitative skills to help line-of-business developers build fair statistical models that comply with Fair Lending Laws and regulations, including AI/ML models.

JPMorgan Chase and Co. (JPMorgan Chase) is committed to providing fair, equitable, and nondiscriminatory access to credit for both individuals and communities. This commitment is part of our fundamental mission of providing quality financial services to existing and prospective customers in accordance with all applicable laws and serving unique customers. As part of this mission the Office of Fair Lending (OFL) executes a robust program that oversees the firm’s compliance with fair lending laws.

Job Responsibilities

  • Conduct statistical analyses and bias testing to review business models, including traditional models, machine learning / artificial intelligence models (ML/AI) as well as Gen AI based models for fair lending compliance This role offers a unique opportunity to gain exposure to a wide variety of models across different lines of business, enhancing your expertise and broadening your understanding of diverse modeling approaches.
  • Engage with extensive model documentation to thoroughly understand the models you review from a fair lending perspective, allowing you to develop a comprehensive understanding of complex models and their applications.
  • Build data-driven algorithms to mitigate potential disparate impact of models by working alongside model developers, business strategy owners & Legal to develop less discriminatory alternative models
  • Prepare presentations & reports to explain statistical results in both non-technical and technical formats to various stakeholders such as senior management, Legal, Model developers, Model Governance etc.
  • Perform research & development to keep the fair lending compliance program aligned with industry and regulatory standards
  • Create model documentation; work with Control, Audit and Model Governance teams to ensure adequacy of processes, statistical models and model reviews
  • Support the team in maintaining relevant policies & procedures and representing fair lending in regulatory exams, audits and other areas related to internal governance
  • Perform other related duties as assigned

Required qualifications, capabilities and skills

  • Bachelor degree required in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering) with 4+ years of relevant work experience, or Graduate degree in a quantitative field with 3+ years of relevant work experience
  • Entrepreneurial spirit, strong attention to detail, ability to take the lead on projects, in depth interest in solving complex business problems with data and passion for spreading a culture of change towards data-driven decision making
  • Proficiency in Python, shell scripting, cloud computing platforms and tools (e.g., AWS, Spark, Git/Bitbucket, Data Bricks) and database systems (e.g., Snowflake, Hadoop, Teradata, Hive)
  • Experience in developing, implementing and evaluating linear / logistic regression and machine learning / artificial intelligence models
  • Experience working or consulting for a bank, a consumer financial product company such as a non-depository mortgage lender or fintech, a banking regulator (e.g., OCC, CFPB) or other similar government regulatory or enforcement agencies with knowledge of how consumer financial products such as mortgage and auto loans are underwritten and priced
  • Strong project management, critical thinking and analytical skills; ability to work in a fast-paced environment and manage multiple projects towards completion with focus on quality
  • Excellent communication skills both verbal and written; ability to communicate technical matters in a non-technical way & clearly present complex and sensitive issues

Preferred qualifications, capabilities, and skills

  • Experience with bias detection tools or research of fairness
  • Experience in LLM prompt engineering and LLM-based model development (e.g., transformers, embeddings, large language models)

To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co., will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).

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关于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+

员工数

New York City

总部位置

$500B

企业估值

评价

3.8

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

3.8

职业发展

3.0

管理层

2.5

65%

推荐给朋友

优点

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

薪资范围

41个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1份报告

$139,000

年薪总额

基本工资

$107,000

股票

-

奖金

-

$139,000

$139,000

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

40%

体验

正面 20%

中性 80%

负面 0%

面试流程

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

常见问题

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study