Quantitative Forecasting Platform Lead - Asset Wealth Management Finance

JPMorganChase; Plano (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorganChase's Asset & Wealth Management Finance group seeks a senior leader to own and evolve quantitative forecasting tools powering stress tests and BAU exercises. You will shape Python-based tooling, lead a skilled team of developers and data scientists, and engage senior stakeholders across Finance, Risk, and Technology.

The role emphasizes end-to-end platform delivery, governance, and production-grade pipelines, with opportunities to prototype GenAI-enabled solutions and drive controls

Qualifications

• 8+ years in quantitative analytics, model development, or financial forecasting.
• Strong Python engineering skills with production-grade pipelines.
• Experience productionizing quantitative forecasting models.
• Ownership of end-to-end platform used by business users, including production support.
• Experience in stakeholder-heavy environments, clarifying requirements and decisions.
• Strong written and verbal communication skills.
• Experience leading and developing a team of engineers or data scientists.
• Understanding of controls and MDLC practices.

Responsibilities

• Own and drive the roadmap for forecasting tools supporting stress test and BAU exercises, including intake, prioritization, delivery planning, and release management
• Ensure tooling is robust, scalable, auditable, and fit-for-purpose across recurring production cycles
• Establish and maintain standards for code quality, documentation, testing, and operational readiness
• Implement quantitative models in Python, translating requirements into production-grade pipelines
• Partner with model risk and governance stakeholders for documentation, testing evidence and change management
• Identify, prototype, and productionize GenAI applications to improve productivity with guardrails
• Serve as the accountable owner for forecasting tool deliverables and governance routines
• Translate technical details into clear outcomes and risks for non-technical audiences
• Lead and develop a team of quantitative developers and data scientists
• Coach engineers on CI/CD, testing, packaging, and environment management
• Ensure data quality, monitoring, lineage, access, and MDLC runbooks, with incident response

Skills

Python engineering

Production pipelines

GenAI applications

Stakeholder management

Team leadership

Model governance

CI/CD

End-to-end platform ownership

Tools

CI/CD

Job description

Job Description

Join Asset & Wealth Management (AWM) Finance to lead the delivery and evolution of quantitative forecasting tools that power stress testing and business-as-usual exercises. You'll shape end-to-end Python-based tooling and GenAI-enabled applications, lead a talented team of developers and data scientists, and serve as the trusted point of contact for senior stakeholders across Finance, Risk, and Technology.

Join Asset & Wealth Management (AWM) Finance to lead the delivery and evolution of quantitative forecasting tools that power stress testing and business-as-usual exercises. You'll shape end-to-end Python-based tooling and GenAI-enabled applications, lead a talented team of developers and data scientists, and serve as the trusted point of contact for senior stakeholders across Finance, Risk, and Technology.

Job Responsibilities

• Own and drive the roadmap for forecasting tools supporting stress test and BAU exercises, including intake, prioritization, delivery planning, and release management
• Ensure tooling is robust, scalable, auditable, and fit-for-purpose across recurring production cycles (data ingestion, transformations, model runs, outputs/reporting, controls)
• Establish and maintain standards for code quality, documentation, testing, and operational readiness
• Implement quantitative models in Python, partnering with model owners and users to translate requirements into production-grade pipelines with full traceability
• Partner with model risk and governance stakeholders to support documentation, testing evidence, explainability, and controlled change management
• Identify, prototype, and productionize GenAI applications that improve productivity and controls for Finance forecasting and analysis workflows, with appropriate guardrails
• Serve as the single accountable owner for forecasting tool deliverables and stakeholder communications, running governance routines (status reporting, risk/issue management, decision logs)
• Translate technical details into clear outcomes, risks, and decisions for non-technical audiences
• Lead and develop a team of quantitative developers and data scientists, managing sprint/capacity planning, delivery milestones, and operational support coverage
• Coach engineers on engineering discipline (CI/CD, testing, packaging, environment management) and Finance domain context
• Ensure controls around data quality, reconciliations, run-time monitoring, lineage, access, and repeatability, and drive incident response, root-cause analysis, and compliant Model Development Life Cycle (MDLC) practices

Required Qualifications, Capabilities, And Skills

• 8+ years of experience in quantitative analytics, model development, data science, financial forecasting, risk modeling, or financial technology
• Strong Python engineering skills, with experience building production-grade data/model pipelines (not just notebooks)
• Proven experience implementing or productionizing quantitative forecasting models (finance, risk, stress testing, or closely related domains)
• Demonstrated ownership of an end-to-end platform or tool used by business users, including production support and lifecycle management
• Experience operating in a stakeholder-heavy environment, managing competing priorities, clarifying requirements, and driving decisions
• Strong written and verbal communication skills, with the ability to produce crisp status updates, articulate risks, and propose options
• Experience leading and developing a team of engineers or data scientists
• Understanding of controls and operational excellence across production cycles (data quality, monitoring, lineage, access, repeatability)

Preferred Qualifications, Capabilities, And Skills

• Experience supporting stress testing and/or regulatory-driven forecasting processes
• Familiarity with model governance / model risk management expectations (documentation, validation support, controls evidence)
• Experience building GenAI applications (e.g., retrieval-augmented generation, workflow assistants, evaluation/monitoring)
• Experience with modern software engineering practices (e.g., CI/CD, automated testing, dependency management)

About Us

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 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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About The Team

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.