CCOR Fair Lending Quant Modeling Analyst

Posted 24 Days Ago
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Hyderabad, Telangana
Hybrid
1-3 Years Experience
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Seeking a Fair Lending Quant Modeling Analyst to perform statistical modeling, bias testing, and data-driven algorithm development to ensure fair lending compliance. Responsibilities include conducting analyses, building algorithms, preparing reports, maintaining compliance, and supporting regulatory exams.
Summary Generated by Built In

Job Description
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.
Compliance's Office of Fair Lending
JPMorgan Chase and Co. (JPMorgan Chase) is committed to provide 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. To accomplish this, the Office of Fair Lending (OFL) has a very robust Fair Lending function that oversees firm's compliance with fair lending laws.
Job Summary
Office of Fair Lending is seeking a qualified Fair Lending Quant Modeling Analyst to perform statistical modeling and analyses to detect & mitigate bias in line-of-business models. This individual will also participate in bias testing-related research projects to support & enhance the bank's fair lending compliance program.
Job Responsibilities:
As a Fair Lending Quant Modeling Analyst in this high-visibility role, you will:

  • Conduct statistical analyses and bias testing to review business models, including both traditional and machine learning / artificial intelligence models (ML/AI),for fair lending compliance
  • 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 3 + years of relevant work experience, or Masters degree in a quantitative field with 1+ 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) and database systems (e.g., Hadoop, Teradata, Hive)
  • Experience in developing, implementing 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 organization, prioritization, critical thinking and analytical skills; ability to work in a fast-paced environment and manage multiple projects towards completion with focus on quality
  • E xcellent 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 in SAS
  • Experience with bias detection tools or research of fairness


About Us
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
About the Team
Commercial Banking is focused on helping our clients succeed and making a positive difference in our communities. We provide credit and financing, treasury and payment services, international banking and real estate services to clients including corporations, municipalities, institutions, real estate investors and owners, and nonprofit organizations.

Top Skills

Python
The Company
Hyderabad, Telangana
289,097 Employees
Hybrid Workplace

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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JPMorganChase Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
Bengaluru, Karnataka
Hyderabad, Telangana
Mumbai, Maharashtra

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