Jobs at JPMorganChase

Lead and coordinate budgeting and forecasting, develop and maintain financial models, produce management reports and presentations, perform variance and root-cause analyses, and collaborate with business partners to deliver recurring and ad-hoc financial planning and analysis.

Designs, develops, tests, and maintains secure, scalable Java/Spring Boot and React applications. Produces architecture and design artifacts, analyzes large datasets to improve systems, leverages enterprise AI-assisted development tools, follows SDLC and CI/CD practices, and contributes to team culture and engineering communities.

Lead multiple engineering teams to design, migrate, and operate resilient AWS cloud platforms. Own cloud migrations, platform performance, cost optimization, automation (IaC/DevOps), monitoring, and secure AI-assisted engineering adoption while ensuring compliance and strong cross-functional collaboration.

Perform advanced quantitative analyses on large datasets to drive product and campaign decisions. Build data models, apply data mining and visualization tools, deliver insights to stakeholders and leadership, improve processes and data quality, and independently manage analytics programs and stakeholder engagements.

Support accuracy and integrity of CIB product books and records by delivering financial analysis and MIS, resolving control and reporting issues, partnering with front office, operations, risk, and technology, and driving process improvements and automation.

Design, build, and operate production-grade backend services and APIs that embed LLM-enabled workflows with guardrails, observability, and governance. Implement retrieval (RAG), vector search/embedding solutions, database persistence, event-driven patterns, CI/CD pipelines, and front-end React experiences while ensuring testing, reliability, and clear stakeholder communication.

Lead credit risk assessment and ongoing monitoring for a portfolio of corporate and institutional clients across loans, derivatives and cash management. Conduct due diligence, financial modelling, industry analysis, structuring, negotiation and documentation. Exercise credit approval authority, mentor junior team members, liaise with origination and legal stakeholders, and support credit reporting and ad-hoc initiatives.

Manage diligence, risk grading, structuring, and monitoring of a diverse wholesale credit portfolio. Serve as Credit Officer for relationships, perform financial analysis and credit memos, set exposure appetite, approve trading activity, recommend structural mitigants, oversee legal negotiations, maintain credit research, mentor junior staff, lead efficiency projects, and participate in client due diligence.

Support accuracy and integrity of financial records for Global Investment Banking by enforcing controls, supporting month/quarter-end close, investigating variances, ensuring correct booking/treatment, identifying control risks, driving process improvements, and partnering with Finance, Operations, Technology, and regional teams.

Perform credit due diligence and risk assessments, build and challenge financial models, produce credit memoranda with recommendations, manage portfolio exposures, recommend risk mitigants and structures, support transaction execution and system setup, partner with coverage/product teams and senior credit officers, monitor industry risks, and mentor junior staff.

Design, develop, and maintain production ML solutions for trade surveillance and financial crime. Perform end-to-end model lifecycle work (feature engineering, training, validation, calibration, monitoring), support model governance and audits, collaborate with SMEs and MLOps for CI/CD and productionization, deliver interpretable explainability outputs, and incorporate GenAI/LLMs for unstructured text signal extraction.

Design, develop, and maintain production ML solutions for trade surveillance and financial crime use cases. Apply supervised and unsupervised methods, execute model lifecycle (feature engineering, training, validation, monitoring), support model governance, partner with MLOps for CI/CD, deliver explainable outputs, and leverage GenAI/LLMs for unstructured data extraction and summarization.

Support India MLRO in AML transaction monitoring and investigations: review alerts from automated systems, assess suspicious activity, recommend escalation or closure, collaborate with regional teams, support regulatory exams, and contribute to AML policy/process updates. Focus on Corporate/Investment Banking AML typologies and ensuring quality and SLA adherence.

Design and deploy automated FP&A pipelines, validations, reconciliations, and dashboards using Python, SQL, and Databricks. Build finance-ready data models, implement data quality controls, support migration from legacy workflows, perform UAT and stakeholder training, and deliver governed self-service BI views to improve reporting efficiency and decision-making.

Lead enterprise data governance engineering programs across the firm. Manage roadmap and operating model for privacy-centric initiatives (consent, retention, cross-border transfer), oversee engineering delivery, KPIs, dashboards, and executive reporting. Drive adoption of cloud-native data platforms (AWS, Databricks, Snowflake), metadata/catalog/lineage, schema governance, and agentic AI-enabled engineering operating models while establishing governance, security, and reuse-first strategies.

Lead design and implement scalable Python backend solutions for derivatives migration on the Athena platform. Build OOP data models, persistence layers, APIs, and distributed/grid compute components; enforce CI/CD, automated testing, performance optimization, and secure AI-assisted engineering practices. Mentor engineers and collaborate with quants and traders to productionize pricing and risk workflows.

Lead or support data transformation and governance initiatives: define data strategies, collaborate with business and tech teams, improve data quality, enable analytics and visualization adoption, manage project timelines/resources, and develop documentation and training to promote data literacy.

Lead design and implementation of LLM-driven, multi-agent SDLC services and orchestration on AWS. Integrate agents with toolchains, build SDKs and data pipelines, drive AI-assisted engineering governance, mentor engineers, and ensure secure, validated AI workflows and observability.

Support CCR risk controls, monitor portfolio thresholds, perform ad hoc risk investigations, drive transformation and automation projects, develop analytical tools (Python/SQL/AI/LLM), and collaborate with Quants, Technology, Product and Credit Officers to strengthen exposure measurement, governance and reporting across derivatives and securities financing products.

Support implementation of new regulations and business process improvements for EMEA regulatory reporting. Define scope, document requirements, plan and execute UAT, manage issues/risks, coordinate test environments, obtain sign-offs, and collaborate across India, London, and Warsaw to ensure regulatory obligations are met.