Top Tech Jobs & Startup Jobs

Senior full-stack software engineer responsible for designing, developing, deploying, and supporting scalable cloud-native applications for cash management and investment operations. The role requires .NET, modern JavaScript, relational databases, APIs, containerized microservices, CI/CD, automated testing, and Agile practices. Responsibilities include leading software delivery, driving engineering standards, solving complex business and technical problems, mentoring engineers, collaborating with stakeholders, and using AI tools responsibly.

Supports Corporate and Shared Services FP&A through budgeting, forecasting, variance analysis, month-end close, financial modeling, reporting, and strategic planning. Partners with CFO Group, Legal, Compliance, Audit, and Risk stakeholders to identify trends, risks, opportunities, and actionable insights. The role also improves FP&A processes, reporting, forecasting, and data integrity while preparing materials for leadership and business reviews.

Lead AI enablement for investment teams by translating LLM and generative AI capabilities into practical workflows, training and coaching investors, creating reusable prompt libraries and playbooks, guiding agentic designs, partnering with engineers and product teams, and ensuring responsible, secure adoption with measurable outcomes.

Develop, test, and deploy Python-based applications for front-office investment teams. Integrate with REST/gRPC APIs, manage AWS services, maintain CI/CD pipelines, translate business requirements into technical solutions, and mentor junior engineers while improving team practices.

Provides second-line oversight and credible challenge for enterprise technology, cyber, cloud, data, third-party, resilience, and AI risks. Leads risk assessments, control reviews, incident management, reporting, framework enhancements, and regulatory monitoring. Develops executive dashboards and committee materials while partnering with technology, cybersecurity, compliance, legal, audit, and business risk stakeholders to drive remediation and maintain alignment with risk appetite and regulatory expectations.

Support middle office trade management across derivatives, private placements, and mutual fund trading. Coordinate booking, settlement, reconciliations, and trade lifecycle activities; resolve breaks; partner with internal teams and vendors; drive process improvements, validate controls, generate operational metrics, and mentor less experienced staff.

Leads enterprise corporate strategy, growth initiatives, strategic planning, and corporate development for an asset management firm. Advises senior leadership on strategic decisions, evaluates market and growth opportunities, synthesizes complex data, and develops actionable recommendations. Drives cross-functional initiatives involving transformation, operating model design, market expansion, product innovation, and implementation. Requires strong analytical, executive communication, stakeholder management, and financial services industry expertise.

Serves as a client-facing investment subject matter expert on artificial intelligence and innovation. Translates how AI supports investment research, portfolio construction, risk management, and decision-making into clear presentations, messaging, and thought leadership. Partners with investment, technology, sales, marketing, communications, and client teams to support acquisition and retention. Monitors AI developments, communicates their market implications, and brings client and industry insights back to the organization. Requires 20–40% domestic and international travel.

Design, build, and support scalable full-stack software, backend services, databases, and cloud-native applications for investment risk and portfolio analytics. Contribute to architecture, technical decisions, automated testing, observability, CI/CD, data reliability, and technical debt reduction. Partner with engineering, product, business stakeholders, risk analysts, portfolio managers, and quants to deliver effective technology solutions.

Designs, builds, tests, deploys, and scales production-grade AI agents and intelligent systems. Leads technical workstreams, develops agentic workflows, establishes evaluation and monitoring practices, partners with business stakeholders, evaluates emerging AI technologies, mentors engineers, and contributes to reusable engineering patterns. The role requires strong software engineering fundamentals, hands-on AI application development, cloud-native architecture experience, and ownership of complex technical problems through production adoption.