Top Tech Jobs & Startup Jobs

Provide senior-level client service and support to Financial Advisors/Private Wealth Advisors, build trusted client relationships, assist with digital marketing, portfolio/proposal tools, financial planning, meeting preparation, client reports, transactions, and firm initiatives while supervising daily service tasks and enhancing business development activities.

Leads platform engineering initiatives supporting cloud-native application teams. Designs and operates highly available systems, CI/CD pipelines, infrastructure automation, Kubernetes platforms, observability, security tooling, and developer enablement workflows. Provides architectural guidance, technical leadership, escalations, and mentorship while improving reliability, delivery velocity, and engineering standards across teams.

Operate and monitor mission-critical real-time market data systems, detect and resolve production incidents, support trading and infrastructure teams, drive automation and AI-enabled operational improvements, maintain runbooks and monitoring, and participate in deployments, testing, and disaster recovery to improve platform reliability.

Leads client service models and daily business operations for private wealth management teams. Supports Financial Advisors and Private Wealth Advisors with client relationships, reports, financial plans, meetings, communications, and follow-up tracking. Oversees support professionals, hiring, training, performance input, compensation tracking, business-plan execution, process efficiency, and firm initiatives. Requires extensive financial services experience, leadership ability, strong organizational and communication skills, and active securities licenses.

Develop and maintain enterprise applications using Java, microservices, distributed systems, relational databases, and cloud-native technologies. Collaborate with Agile teams throughout the software development lifecycle, implement data models and knowledge graphs, and build RESTful APIs, ETL pipelines, and containerized applications. Apply DevOps, CI/CD, automation, fault tolerance, observability, and Linux-based development practices using technologies including Spring, Kafka, Docker, Python, Stardog, Grafana, Splunk, Jenkins, and GitLab CI.

Lead governance of Operational Risk and Resilience across ISG, monitor and report incidents, perform root-cause analysis, drive remediation, lead scenario exercises and tabletops, partner with firmwide teams to implement consistent risk programs, provide strategic risk insights to senior management, and enhance governance and organizational resilience.

Lead data governance and data quality initiatives for Institutional Securities. Partner with business, technology, and control stakeholders to define standards, map controls to critical data elements, assess data quality, drive remediation of issues, track project milestones, and present metrics and escalations to senior management and governance committees.

Manage mortgage loan pipelines for affluent and high-net-worth clients throughout the origination cycle. Serve as the primary contact for clients, Financial Advisors, Private Bankers, and internal partners; review income, credit, appraisal, insurance, and title documents; coordinate processing and underwriting; assess complex credit risks; resolve escalations; support underwriting conditions, pricing negotiations, timely closings, and process improvements.

Support Investment Management Finance accounting and controllership activities, including seed investments, carried interest, consolidations, corporate accounting, cash, assets under management, billing, revenue cycles, and quarterly invoicing. Partner cross-functionally with finance, IT, operations, legal, compliance, audit, and data providers. Drive process transformation, analyze large data volumes, improve operational efficiency, and deliver quality-control reviews and data-driven reporting.

Leads Global Research’s AI enablement strategy, team, roadmap, and adoption of generative AI solutions. Translates research workflows into compliant AI tools, prompts, and processes; oversees use-case prioritization, solution design, testing, deployment, governance, training, change management, support, and impact measurement. Partners with research, technology, data, product, risk, legal, and information security stakeholders while managing Prompt Engineers and Annotators.