Top Tech Jobs & Startup Jobs

Lead end-to-end client AI transformation engagements: discover and frame executive problems, design and build production-credible PoAs (data pipelines, integrations, LLM/RAG apps) within 2–3 weeks, present to executives, hand off to delivery, mentor junior FDEs, and convert PoAs into full engagements.

Design, develop, and deliver scalable software systems and APIs across the full lifecycle. Lead architecture, integrate AI/ML components, implement microservices/serverless and CI/CD, ensure security, observability, and performance, mentor engineers, and collaborate with product and business stakeholders to meet timelines and quality standards.

Leads operational support for production AI solutions, including monitoring, incident management, defect remediation, enhancements, deployments, governance, and performance evaluation. Coordinates internal teams and third-party AI engineers, maintains support processes and documentation, and monitors reliability, accuracy, drift, bias, fairness, cost, and business value. Partners with data, technology, governance, and business stakeholders to ensure AI solutions remain stable, compliant, effective, and aligned with evolving needs.

Leads the Claims insights and analytics function, partnering with senior Claims, Reserving, Actuarial, Finance, and Underwriting stakeholders. Translates business priorities into reporting, dashboards, data products, predictive analytics, AI, and automation initiatives. Oversees delivery, measurable business value, governance, stakeholder adoption, and team development while improving claims outcomes, operational efficiency, leakage management, reserving effectiveness, and decision-making.

Leads North American insights, analytics, and AI delivery supporting underwriting decisions, portfolio management, operational efficiency, and customer outcomes. Translates business priorities into measurable data products and analytics initiatives, oversees AI-enabled transformation, ensures responsible AI governance, and partners with underwriting and enterprise Data & Analytics teams. Develops high-performing teams, drives adoption, promotes agile and product-oriented delivery, and ensures scalable, reusable solutions that generate business value.

Manage complex tax engagements for real estate partnerships, corporations, and high-net-worth individuals; review and sign tax returns; provide strategic tax planning and ensure federal, state, and local compliance. Mentor and train junior staff, build client relationships, and support business development initiatives.

Act as strategic and execution partner to Head of Wealth Malaysia, driving business planning, performance tracking, governance, stakeholder coordination, and transformation initiatives across Wealth, Priority Banking, Bancassurance, Investment, Treasury, and Advisory. Prepare plans, dashboards and board presentations; monitor risks and compliance; coordinate workstreams, sales campaigns, and leadership communications to ensure execution and visibility of priorities.

Manage money markets and treasury operations, including bank liquidity, funding strategy, surplus-fund investment, regulatory liquidity ratios, and balance-sheet management. Build and maintain depositor and corporate-client relationships, quote foreign exchange and treasury product prices, execute client orders, prepare management reports, and achieve desk budgets. The role also supports governance, SOP reviews, system enhancements, training, and collaboration with risk, compliance, finance, audit, and other control functions.

Leads centralized banking operations covering remittances, e-KYC and fraud mitigation, corporate online banking onboarding, regulatory reporting, compliance, risk management, process simplification, automation, and cost control. Manages SOPs, operational reviews, reporting, regulatory monitoring, UAT, vendor deliverables, and team development while improving efficiency, customer experience, and resource utilization.

Provides dedicated executive administrative support to an SVP and leadership team. Responsibilities include complex calendar and international travel management, confidential information handling, project coordination, stakeholder collaboration, process improvement, expense and procurement system support, records administration, and occasional meeting or event coordination.

Own full-cycle enterprise sales across the U.S. West Coast, including pipeline generation, account strategy, deal orchestration, executive relationship building, and partner co-selling. Sell data governance, metadata, AI-ready data, and context-layer solutions to CDO, CIO, and senior data leaders. Help develop repeatable sales plays, engage technical communities, and manage complex multi-stakeholder enterprise deals.

Lead client portfolio management for an asset management firm, communicating investment products, philosophy, processes, and value proposition to investors and sales teams. Build relationships with existing and prospective clients, support new business development, create marketing materials and investment reports, contribute to product development across mutual funds, ETFs, CITs, and SMAs, and provide competitive market intelligence. The role requires strong investment expertise, analytical ability, communication skills, and collaboration across portfolio management, research, and distribution teams.

Provides routine and non-routine client service, transactional, and account processing support within loan enablement operations. Coordinates with internal teams to resolve issues, processes transactions based on scheduled events or authenticated client instructions, researches complex situations, and escalates issues when necessary. The role favors candidates with syndicated loan, loan servicing, ClearPar, LSTA, brokerage processing, or financial services operations experience, along with strong communication, organization, and Microsoft Office skills.

Provides routine and non-routine client service, transactional, and loan-processing support within Loans Enablement Operations. Processes account transactions based on scheduled events and authenticated client instructions, coordinates with internal teams to resolve issues, researches exceptions, adapts responses, and escalates complex matters. The role requires attention to detail, communication skills, workload prioritization, and familiarity with syndicated loans, loan servicing, ClearPar, LSTA practices, brokerage processing, and Microsoft Office.

Manage client relationships and accounting procedures for hedge funds, ensure compliance with GAAP, oversee monthly closings, and coordinate audits.

Conduct fundamental equity research on enterprise software companies: build and maintain financial, earnings and valuation models; write research reports and notes; perform industry diligence and primary research; engage with investors and company management; use AI-enabled tools to accelerate research while ensuring source verification; support sales and trading with timely sector analysis.

Supports Net New Assets reporting, forecasting, data validation, and insights for Morgan Stanley Wealth Management. Responsibilities include distributing recurring management reports, consolidating reporting across global teams, analyzing trends and competitor flows, reconciling data, validating outputs, and developing actionable recommendations. The role partners with stakeholders across multiple regions and supports Private Markets analytics and additional predictive use cases.

Leads transformational IT initiatives, process improvement, operational reviews, business process management, change management, work-plan development, scorecard implementation, and stakeholder reporting. Develops business cases, identifies risks and bottlenecks, streamlines procedures, translates business needs into technology requirements, and presents recommendations to leadership. Requires extensive business experience, Lean or Six Sigma training, project management expertise, strong analytical and communication skills, and proficiency with Microsoft Office tools.

Investigate and resolve technical issues for enterprise customers, analyzing logs, reproducing problems, identifying root causes, and escalating when needed. Use AI tools to support technical investigations, communicate with customers and internal teams, document solutions, build knowledge resources, and share recurring product insights with Product and Engineering.