Business Modeling Team - Quant Modeling Lead
hackajob · New York, NY
- On site
- Full-time
- $150,000 / year
- New York, NY
Job highlights
- Lead business modeling strategy and outcomes.
- Manage model lifecycle end-to-end.
- Drive complex initiatives in matrixed environment.
- Communicate progress to senior management.
- Partner with risk, controls, and governance.
About the role
Quant Modeling Lead - Business Modeling Team
Join a team that uses data across the Consumer & Community Bank to create competitive advantages while delivering value and protection for customers.
As a Quant Modeling Lead, within the Business Modeling Team, you will provide high visibility and direct impact on CCB’s modeling strategy and business outcomes. You will serve as the portfolio/program leader for a Line of Business (LOB) and supporting functions, establishing clear plans, milestones, dependencies, and decision forums to ensure consistent delivery across the model lifecycle.
Job Responsibilities
- Own the portfolio 'book of work' for Business Modeling across an LOB/COE, including intake, prioritization, capacity/roadmap planning, dependency management, and milestone governance.
- End-to-end delivery coordination across model initiatives, from concept and business case through development, validation/review, implementation, monitoring, and value realization.
- Identify risks, issues, and blockers early; drive resolution paths and escalate with clear options, trade-offs, and recommendations.
- Partner with model risk, controls, and governance teams to ensure initiatives align to model policies, procedures, and tooling expectations.
- Lead executive reporting (e.g., weekly updates, operating committee materials, ad-hoc/regulatory requests) with concise summaries of progress, outcomes, decisions required, and risks/issues.
- Develop and deliver executive-ready presentations for senior management, tailoring messages for technical and non-technical audiences.
- Coordinate with partner functions (Finance, HR, Learning & Development, Technology enablement teams) to support hiring plans, training completion, resourcing alignment, and operating cadence.
- Coordinate readiness for model reviews, audits, and regulatory exams by driving documentation hygiene, evidence collection, action plans, and timely closure of findings.
- Support ongoing lifecycle activities (e.g., monitoring, performance testing cadence, model change governance) through strong process and reporting discipline.
- Define and track portfolio health metrics and outcomes (e.g., delivery KPIs, KRIs, throughput, cycle time, quality/defect themes, governance milestones) and provide actionable insights.
Required Qualifications, Capabilities, And Skills
- Bachelor’s degree in a relevant discipline (analytics, finance, engineering, business, or related); 5+ years of relevant experience in program/project management, business management, analytics/modeling operations, or adjacent roles in financial services, consulting, or technology-driven organizations.
- Demonstrated ability to drive complex initiatives from planning through delivery in a matrixed environment, including governance and stakeholder management.
- Strong analytical and critical thinking skills; ability to structure ambiguous problems and drive decisions.
- Exceptional written and verbal communication skills, including executive-level presentation development and delivery.
- Proven ability to work under deadline pressure in a fast-paced, evolving environment; strong conflict management and influence without authority.
- Ability to build strong relationships across Business Modeling, Technology, Risk, Controls, and LOB leadership to enable fast alignment and sustained execution.
- Ability to establish and run program operating rhythms (e.g., weekly delivery checkpoints, monthly business reviews, quarterly planning) with clear artifacts: roadmap, RAID logs, decision logs, and action tracking.
Preferred Qualifications, Capabilities, And Skills
- Experience supporting quantitative models and/or AI/ML initiatives (including GenAI/agent-based solutions where applicable), analytics transformation programs, or model lifecycle operating models.
- Familiarity with model governance concepts (e.g., model development lifecycle, performance monitoring, documentation standards, controls, and audit/regulatory readiness).
- Knowledge of consumer banking products and operating environments.
- Track record of driving alignment across multiple teams toward measurable outcomes.
About Us
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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 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.
Equal Opportunity Employer/Disability/Veterans
About The Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
Key skills/competency
- Quant Modeling Lead
- Business Modeling
- Program Management
- Data Analytics
- Financial Services
- Risk Management
- Stakeholder Management
- Executive Reporting
- Model Lifecycle Management
- AI/ML Initiatives
Skills & topics
- Quant Modeling Lead
- Business Modeling
- Program Management
- Data Analytics
- Financial Services
- Risk Management
- Quantitative Analysis
- Model Governance
- Project Management
- J.P. Morgan
How to get hired
- Tailor your resume: Highlight program management, analytics, and financial services experience.
- Showcase leadership: Emphasize experience driving complex initiatives and managing stakeholders.
- Quantify achievements: Use metrics to demonstrate impact in previous roles.
- Prepare for interviews: Anticipate questions on problem-solving, communication, and conflict resolution.
- Network: Connect with professionals in business modeling or data analytics at J.P. Morgan.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary responsibility of a Quant Modeling Lead at J.P. Morgan?
- The Quant Modeling Lead is responsible for leading the business modeling strategy and outcomes for a specific Line of Business (LOB) within J.P. Morgan's Consumer & Community Bank. This includes overseeing the entire model lifecycle, from concept to realization, and ensuring alignment with policies and governance.
- What are the key qualifications for the Quant Modeling Lead role?
- A Bachelor's degree in a relevant field (analytics, finance, engineering, business) and at least 5 years of experience in program/project management, business management, or analytics operations within financial services, consulting, or technology are required. Strong analytical, communication, and stakeholder management skills are essential.
- Does J.P. Morgan prefer candidates with experience in AI/ML for this Quant Modeling Lead position?
- While not strictly required, experience supporting quantitative models, AI/ML initiatives (including GenAI/agent-based solutions), or analytics transformation programs is preferred. Familiarity with model governance concepts is also a plus.
- How does J.P. Morgan approach diversity and inclusion in hiring for the Quant Modeling Lead role?
- J.P. Morgan is an equal opportunity employer and values diversity and inclusion. They do not discriminate based on protected attributes and make reasonable accommodations for candidates and employees.
- What kind of reporting is expected from the Quant Modeling Lead at J.P. Morgan?
- The Quant Modeling Lead is expected to lead executive reporting, including weekly updates and operating committee materials. This involves providing concise summaries of progress, outcomes, decisions needed, and risks/issues to senior management.
- Can a candidate with a non-finance background apply for the Quant Modeling Lead position?
- Yes, a Bachelor's degree in analytics, engineering, business, or related fields is accepted, along with relevant experience in program management or analytics operations. While financial services experience is preferred, a strong foundation in these areas can be transferable.
- What is the work environment like for the Quant Modeling Lead at J.P. Morgan?
- The role involves working in a fast-paced, evolving environment that requires working under deadline pressure. It requires building strong relationships across various teams, including Business Modeling, Technology, Risk, Controls, and LOB leadership, to ensure alignment and execution.