Jobs at JPMorganChase

Vice President role within J.P. Morgan’s Global Investment Banking business focused on mergers and acquisitions in the business services sector. The provided description contains organizational and team information but does not specify detailed responsibilities or qualifications.

An off-cycle quantitative trading and research internship focused on derivatives pricing, risk management, electronic execution, systematic trading, and portfolio optimization. The intern will build mathematical and machine learning models, develop pricing and hedging tools, research trading strategies, conduct scenario analysis, assess model risk, and implement high-performance analytics in production systems while collaborating with traders, risk managers, and banking teams.

Three-to-six-month quantitative trading and research internship developing mathematical models, pricing and risk tools, algorithmic trading strategies, portfolio analytics, and high-performance software. Interns apply machine learning and advanced statistics to derivatives pricing, hedging, electronic execution, market making, risk management, and systematic trading. The role involves quantitative research, scenario analysis, model validation, production implementation, collaboration with traders and risk managers, and communicating technical findings.

Executive Director responsible for business services supporting J.P. Morgan’s Global Investment Banking M&A activities within the North America market. The available description provides limited detail on specific responsibilities, qualifications, technologies, compensation, travel, or clearance requirements.

Lead cloud security strategy for Data and AI/ML services on GCP. Assess technology controls and risks, advise teams on secure cloud architectures, review infrastructure-as-code, maintain security documentation, and collaborate with security operations, threat intelligence, IAM, and network security teams. The role also supports agile security initiatives, mentors junior engineers, and promotes secure and compliant public-cloud implementations.

Designs, develops, debugs, and troubleshoots software components within an agile team. Writes secure code, uses SDLC and CI/CD practices, leverages enterprise-authorized AI coding tools, analyzes large datasets for decision-making, and learns system processes to deliver stable, resilient applications.

Develop and scale customer journeys for offers and shopping, translating customer insights and product signals into audience strategies, messaging, campaign concepts, creative briefs, experimentation roadmaps, and optimization recommendations. Partner with analytics, product, creative, marketing technology, and campaign teams to launch initiatives, measure performance, improve activation and redemption, and manage partner campaign workflows and governance.

Provides legal support to US Macro Markets and Sales teams by drafting and negotiating derivatives trading documentation, advising on FX and derivatives transaction structures, interpreting regulatory requirements, and analyzing netting and collateral enforceability. The role partners with front-office, sales, trading, and product teams within a global financial institution.

Provides legal counsel to J.P. Morgan Wealth Management’s retail investment and bank-based sales businesses. Advises on banking and securities laws, FINRA, SEC, CFPB, Federal Reserve, OCC guidance, broker-dealer and investment advisory matters, banker licensing and compensation, and regulatory risks. Partners with Compliance, Risk, Controls, operations, and business teams to support products, transactions, sales strategies, and strategic initiatives.

Executes compliance and operational risk testing, evaluates control design and effectiveness, identifies gaps, drives remediation, communicates findings, and improves testing methodologies through cross-functional collaboration.

Leads Android software engineering for JPMorganChase’s payment technology team. Responsibilities include designing, developing, testing, debugging, and maintaining secure, scalable mobile applications; reviewing code; improving operational stability; and guiding responsible AI-assisted engineering practices. The role requires Android development with Kotlin, Jetpack Compose, Coroutines, REST, JSON, RxJava, MVVM, MVI, and automated testing, along with technical leadership and collaboration across vendors and internal teams.

Manage and grow a portfolio of 70–90 small-business clients, providing customized banking, deposit, cash management, credit, and financial solutions. Acquire new clients, build long-term relationships, conduct in-person business calls, identify client needs, coordinate referrals to specialists, and balance profitability with risk management and regulatory requirements.

Own end-to-end relationships with complex Commercial and Investment Bank clients. Partner across banking, sales, treasury, implementation, service, and KYC to manage onboarding, implementations, escalations, product discussions, strategic reviews, and growth opportunities. Coordinate cross-functional projects, present data-driven relationship reviews and RFP responses, resolve issues, manage competing priorities, and improve client service delivery through technology, process improvement, and consultative partnership.

Leads engineering leaders and senior engineers modernizing commercial lending workflows and platforms. Establishes standards for architecture, reliability, security, automation, AI-enabled engineering, and operational excellence. Partners with bankers, product, and operations to define roadmaps and outcomes. Owns technical decisions, budgets, staffing, vendor strategy, governance, metrics, and organizational health while building high-performing teams.

Leads U.S. healthcare benefits strategy, analytics, cost projections, performance measurement, and implementation of plan changes. Analyzes claims and financial data, models strategic scenarios, evaluates new offerings, configures annual enrollment rate changes, and presents recommendations to senior leadership. Coordinates cross-functional stakeholders across Benefits, Finance, HR Technology, Legal, IT Security, and sourcing while supporting audits, compliance, and operational excellence.

Develops, integrates, and operates enterprise external collaboration platforms, including virtual data rooms, Microsoft 365 B2B, Slack, client portals, and Google Workspace. Manages cloud infrastructure, external identity and access controls, SaaS onboarding, monitoring, capacity planning, resiliency, and root-cause analysis. Uses scripting, infrastructure as code, and enterprise-approved AI tools to improve reliability, validate recommendations, and support secure, compliant cross-company collaboration.

Develops secure, scalable software solutions using Java, Python, AWS, Terraform, and Kafka. Designs complex applications, creates architecture artifacts, delivers end-to-end systems, and ensures testing and operational stability. Leads responsible adoption of AI-assisted development tools, validates AI outputs, improves automation and CI/CD practices, and analyzes data to enhance code quality and system architecture. Collaborates within agile teams supporting corporate technology functions.

Leads global financial analysis and portfolio management for public cloud and artificial intelligence infrastructure rate optimization. Responsibilities include evaluating compute, database, and GPU commitments; developing financial models, forecasts, scenarios, and business cases; tracking utilization and savings; analyzing month-end results; managing implementation changes; and preparing executive-ready reporting and presentations. Partners across finance, technology, controllership, and strategic sourcing to improve efficiency, governance, and infrastructure spending outcomes.

Develop and modernize scalable batch and real-time data pipelines and feature engineering solutions on Databricks. Build feature store capabilities, migrate legacy Spark and EMR workloads, implement cloud-native AWS solutions, and apply testing, CI/CD, observability, governance, security, and data-quality controls. Collaborate with data scientists and stakeholders, contribute to architecture decisions, support production systems, and mentor junior engineers.

Build and own full-stack AI-enabled products at enterprise scale. Responsibilities include developing RAG and semantic search capabilities, embedding pipelines, document-generation solutions, agentic workflows, validation and guardrail frameworks, and reliable production services. The role emphasizes secure coding, testing, observability, performance, scalability, responsible AI use, and collaboration with product and risk teams in a regulated environment.