Job Responsibilities:
Conduct research and develop innovative analytical and technology solutions to enhance fair lending risk analysis methodologies, improve process efficiency, and keep the fair lending compliance program aligned with industry and regulatory standards.
Leverage AI-enabled tools, generative AI, intelligent automation, and emerging technologies where appropriate to scale analytical capabilities, improve effectiveness, and reduce manual effort across fair lending processes.
Partner with Modeling, Technology, Data Science, and business teams to design, develop, and implement AI-enabled solutions, including intelligent agents, automated analytical workflows, and reusable tools that support fair lending analytics and model review processes.
Evaluate, prototype, and deploy advanced analytical and AI-driven capabilities that enhance productivity, improve transparency, strengthen controls, and support scalable execution of compliance and risk-management activities.
Identify, request, and review relevant data to support ongoing and ad hoc fair lending analysis projects; identify potential gaps between data available for analysis and business policy requirements, such as underwriting attributes, and follow up with lines of business for resolution.
Develop and apply statistical models and techniques to evaluate potential fair lending disparities across lines of businesses; review and assess business policies, practices, and procedures to inform analytic strategies; develop quantitative and statistical models; perform independent analysis to assess fair lending risks; and make recommendations for fair lending testing.
Prepare and maintain model documentation, evaluate model performance, and ensure compliance with Model Risk Governance and Review standards.
Support model review activities by assessing model methodologies, assumptions, segmentation approaches, performance metrics, and potential fair lending implications.
Prepare presentations and reports to communicate analytical results, solution designs, and innovation initiatives to technical and non-technical audiences; engage with stakeholders including OFL partner teams, lines of business (LOBs), Legal, Technology, Data Science, IT, and Model Governance.
Perform other related duties as assigned.
Required Qualifications, Capabilities and Skills
Graduate degree in a quantitative field, such as Statistics, Economics, Computer Science, Engineering, Data Science, Mathematics, or a related discipline.
2+ years of experience in statistics, data science, business analytics, model review, or a related quantitative function.
Proficiency in Python, shell scripting, cloud computing platforms and tools (e.g., AWS, Spark, Git/Bitbucket, databricks) and database systems (e.g., Snowflake, Hadoop, Teradata, Hive).
Deep understanding of statistical concepts and methodologies, with the ability to apply them effectively to complex business and compliance questions.
Experience developing, implementing, and evaluating machine learning models with demonstrated ability to select appropriate modeling techniques, validate model performance, and interpret results to support business decision-making.
Experience applying data science, automation, artificial intelligence, machine learning, or advanced analytics techniques to solve business problems.
Strong critical thinking and analytical skills, with the ability to manage multiple projects in a fast-paced environment while maintaining a focus on quality.
Willingness to learn, adapt to changes, and work collaboratively as a team player.
Excellent verbal and written communication skills, with the ability to clearly present complex and sensitive issues to both technical and non-technical audiences.
Preferred Qualifications:
Experience developing AI-enabled business solutions using generative AI, large language models (LLMs), retrieval-augmented generation (RAG), agentic systems, workflow automation platforms, or machine learning techniques.
Experience building proof-of-concepts and production-ready solutions that improve operational effectiveness, analytical capabilities, controls, or user experience.
Knowledge of cloud-based analytics, data engineering, or AI platforms is a plus.
Experience with BI, GIS, or automation tools such as Tableau, ArcGIS, or Alteryx is a plus.
Experience in fair lending or responsible banking is a plus.
JPMorganChase, 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 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 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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. 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 Quant Modeling Associate Senior within the Risk Management and Compliance organization, you will play a critical role in maintaining JPMorgan Chase’s strength and resilience. You will participate in research, innovation, and solution development projects to support and enhance the bank’s fair lending compliance program. Additionally, you will be responsible for performing statistical modeling and analyses supporting the firm’s fair lending program.
