Top Tech Jobs & Startup Jobs

Conduct cyber threat research, investigate adversaries and campaigns, triage intelligence alerts, analyze indicators and security telemetry, and produce actionable reports. Apply MITRE ATT&CK and Diamond Model frameworks while collaborating with threat hunting, monitoring, incident response, and detection engineering teams. Maintain threat profiles, support proactive detection, and improve investigative processes, automation, and analytic workflows using Python and data analysis techniques.

Leads independent oversight of cybersecurity, technology, and information security risks and controls. Manages a team conducting risk assessments, control reviews, issue remediation, risk acceptance evaluations, KRI monitoring, regulatory examination support, audit support, and executive reporting. Partners with Technology, Legal, Audit, Non-Financial Risk, and business stakeholders to address emerging risks, evaluate technology initiatives, strengthen enterprise risk programs, and provide guidance on cyber threats and regulatory developments.

Supports the Investment Strategy team in managing and servicing equity options and derivatives strategies. Responsibilities include analyzing portfolio exposures, positions, performance, markets, and volatility; preparing client communications, presentations, reports, and marketing materials; managing inquiries; coordinating with internal teams; and assisting with account reconciliation and process improvements.

Supports equity derivatives middle-office activities, including trade validation, lifecycle management, structured products, reconciliations, exception management, and post-execution controls. Partners with Sales, Trading, Technology, Risk, Legal, Compliance, Finance, and Operations on new business enablement and front-to-back solutions. Leads transformation through automation, workflow redesign, data improvements, and scalable operating models while managing risk, controls, senior stakeholder communication, and strategic priorities.

Own the end-to-end complaints reporting and analytics lifecycle, including data analysis, KPI and dashboard development, quality assurance, executive reporting, and regulatory presentations. Analyze complex datasets to identify trends, risks, and root causes; improve data governance and reporting controls; and collaborate with global Legal, Compliance, Risk, Data, and Technology teams. Lead automation, AI, and advanced analytics enhancements while providing oversight and direction across locations.

Drive enterprise architectural vision, target-state business architecture, technology roadmaps, standards, governance, and cross-domain solution alignment. Lead modernization and optimization initiatives across applications, data, and technology while collaborating with engineering, cloud, DevOps, data, and product leaders. Govern architecture processes, audit project compliance, manage interdependencies, resolve blockers, monitor regulatory impacts, and promote risk controls and architectural convergence across a complex global organization.

Lead developer engagement for firmwide AI coding tool adoption: run demos/workshops, create guidance and enablement content, gather feedback, drive responsible practical adoption, advocate for developers, and shape rollout strategy across engineering, platform, risk, and leadership.

As a Director in Internal Audit for Investment Management, you will lead risk assessments, audit activities, and stakeholder discussions, while utilizing AI and data analytics for insights.

Supports private wealth advisors with client service, account transactions, meeting preparation, follow-up tracking, financial planning, portfolio and client reporting, research, and business development activities. The role also assists with digital and in-person marketing, client communications, seminars, webinars, and firm initiatives. Requires financial services product knowledge, active Series 7 and Series 66 or Series 63 and Series 65 licenses, strong organization, technical proficiency, and client service skills.

Designs, develops, and supports secure AI-powered applications, agents, APIs, integrations, and workflow automations. Builds Generative AI solutions using LLMs, prompt engineering, retrieval patterns, and enterprise data. Responsibilities include full software delivery lifecycle participation, AI output evaluation, stakeholder collaboration, secure engineering, governance, monitoring, risk controls, and operational readiness.