Top Tech Jobs & Startup Jobs in Los Angeles, CA

The role involves managing a portfolio of deposit products and liquidity services, focusing on strategy, execution, stakeholder collaboration, and governance.

Lead oversight of consumer leveraged exposure, set leveraged lending limits and frameworks, approve credits within authority, identify and manage problem loans, develop and maintain credit policy and procedures, direct regional credit officers and portfolio activities, coordinate with risk functions and regulators, and support training and business partnering with lending units.

Build and manage a branch-based wealth management practice by conducting client discovery, creating tailored financial plans, growing relationships through referrals and partner engagement, and coordinating specialists for investments, insurance, and estate planning.

Investigate potential money laundering, terrorist financing, and BSA/AML violations using internal AML tools and OSINT. Perform risk assessments, prepare SARs, document case files, recommend customer actions, and collaborate with law enforcement and business units to ensure regulatory compliance.

Serve as the senior, client-facing investment expert for private wealth clients: develop investment policy statements, recommend portfolio construction and manager/vehicle selection, provide ongoing performance reviews and market updates, advise on asset allocation and alternative investments, and build relationships to win and retain high-net-worth and institutional clients.

Design, develop, and deploy production-grade generative AI and agentic systems (LLMs, RAG, AI agents). Build document intelligence, retrieval pipelines, vector search, and monitoring frameworks. Collaborate with risk, compliance, product, and engineering to deliver scalable, governed GenAI solutions in regulated environments.

Design and maintain enablement resources that help data and analytics practitioners discover assets, adopt tools, and develop skills. Build ownership directories, onboarding content, sample code, and training materials. Partner with platform teams, governance, and stakeholders to validate guidance, drive adoption, run technical events (datathons, workshops), and improve the practitioner experience across the enterprise.

Design, build, and maintain scalable, secure data pipelines and platforms to acquire, transform, and store large financial datasets. Enable AI/GenAI-ready data foundations for model training, inference, retrieval, and RAG workflows. Collaborate with cross-functional teams, ensure data quality, governance, observability, and compliance, and support production deployments and troubleshooting.

The Principal Database Engineer manages the Oracle Exadata platforms, oversees database architecture and engineering, optimizes costs, and supports AI and analytics initiatives. They lead performance engineering, licensing strategy, and cloud integration, ensuring operational excellence and mentorship for technical teams.

Lead technology category sourcing and strategic negotiations to drive cost savings, vendor management, and total cost of ownership improvements. Develop commodity strategies, manage spend activity, lead cross-functional sourcing initiatives and contract negotiations, provide category expertise, and use analytics to identify savings and improve supplier performance while partnering with business stakeholders.