Top Tech Jobs & Startup Jobs

Lead technology operational risk and cybersecurity assessments for CIB Technology. Conduct independent testing and monitoring, identify control gaps, manage risks under the Operational Risk Management Framework, develop KPIs/KRIs, advise 2LoD teams, and drive automated, data-driven testing and remediation across stakeholders.

Lead and conduct high-impact AI research across multi-agent systems, foundation models, continual learning, multimodal AI, synthetic data, and formal methods; translate research into production, collaborate with engineers and stakeholders, publish findings, and drive reusable assets and business solutions.

Lead and mentor an analytics team to modernize reporting, deliver automated data solutions, and improve business decisions. Manage a high-complexity reporting portfolio, translate stakeholder needs into analytical designs, champion data quality and documentation, and implement scalable workflows and visualization to drive business impact.

Analyze and enhance interest rate risk and liquidity risk frameworks for the banking book; develop liquidity stress methodologies; partner with Finance, Corporate Treasury, and Technology to automate processes; evaluate earnings at risk and BPV exposure; support investment, funding, and hedging strategy decisions and brief senior management.

Lead and execute end-to-end testing for regulatory external data filings to ensure data accuracy, completeness, and compliance. Develop and run test cases and scripts, document results and controls, collaborate with product owners and tech teams, analyze risks, recommend remediation, and automate testing (including AI tool adoption) to support timely, transparent external reporting.

Lead design, build, deploy, and maintain production-grade ML/data platforms and end-to-end model pipelines. Engineer large-scale data ingestion, transformation, storage (data lakes/warehouses), monitoring, CI/CD, and production reliability. Resolve production incidents quickly, add features, and drive adoption of enterprise AI-assisted engineering practices while ensuring responsible AI, security, and validation standards across the team.

Lead Data Engineer responsible for building, optimizing, and operating secure, scalable data pipelines and platforms. Develop and run batch and streaming pipelines, workflow orchestration (Airflow), SQL-based transformations, and production-grade Python/PySpark code. Collaborate with analysts and data scientists, own system reliability and security, mentor junior engineers, and apply enterprise-authorized AI tools with strong validation and data sensitivity practices.

Design, develop, and maintain secure, production-grade Python/Django applications and REST APIs; implement AuthE authentication patterns (OAuth/OIDC/SAML) for external users; build analytics and visualizations from large datasets; use AI-assisted development tools to accelerate delivery; ensure operational stability, CI/CD, and secure coding practices.

Lead an agile engineering team to design, build, and operate secure, scalable full-stack systems. Drive architecture for event-driven microservices, develop Java Spring Boot services and React/TypeScript SPAs, own testing and operational stability, promote AI-assisted engineering practices, and lead technical evaluations and communities of practice.

Provide holistic financial planning to affluent and high-net-worth clients using J.P. Morgan Wealth Plan software. Collaborate with integrated teams to create and present customized plans covering asset allocation, retirement, trusts & estates, tax, insurance, philanthropy, college savings, and cash flow. Educate teams, cultivate referral relationships with advisors, develop business opportunities, and travel among regional offices as needed.