Top Tech Jobs & Startup Jobs

Conduct qualitative fundamental research on assigned industries by interviewing private company executives, analyzing supply-demand dynamics and emerging trends, and synthesizing findings into reports for investment professionals. Collaborate with investment, research, and compliance teams while maintaining high ethical standards and developing industry expertise.

Administer and improve enterprise collaboration platforms, including Microsoft 365, SharePoint Online, OneDrive, Teams, and Exchange Online. Responsibilities include data migrations, governance, licensing, access controls, API permissions, backup and restore, eDiscovery, incident response, reliability, and automation. The role partners across engineering, security, compliance, and business teams while participating in on-call support and change management.

Build and scale backend platforms, data pipelines, APIs, microservices, and infrastructure supporting generative AI applications. Integrate model inference, embeddings, retrieval, and fine-tuning workflows into production. Improve system performance, reliability, cost, monitoring, and security while implementing CI/CD, testing, and operational practices. Collaborate with data scientists, AI engineers, product owners, and operations, while mentoring engineers and leading technical delivery.

Conduct qualitative fundamental research on companies, industries, supply chains, and economic trends. Build industry expertise by interviewing private company executives and gathering market insights. Analyze structural shifts, supply and demand dynamics, competitors, markets, and technologies, then synthesize findings into reports for portfolio managers and investment professionals. Collaborate with investment, research, and compliance teams while maintaining high ethical standards.

Shape AI product initiatives for investment and business teams across APAC. Translate business needs into product requirements, workflows, user stories, and success measures; analyze feedback, adoption, and operational pain points; support prioritization and delivery; coordinate testing, documentation, training, and rollout; monitor performance and recommend improvements. The role partners with investment, research, data, engineering, compliance, and control functions while communicating progress and risks to stakeholders.

Quantitative Developer Interns will improve trading research infrastructure, optimize ETL pipelines, caches, and SQL databases, collaborate with quantitative researchers on trading signals, and develop automated equities trading applications and real-time analytics. The role requires strong Python programming and values Docker, Unix, shell scripting, profiling, code optimization, statistics, machine learning, ownership, independence, collaboration, and financial-services experience.

Develop and modernize software supporting fund accounting, trade processing, reconciliation, settlement, and prime broker integrations. Build scalable applications, REST services, microservices, data warehouse capabilities, and high-volume transaction systems. Collaborate with business stakeholders and technology teams using Agile and test-driven development. Support cloud migration to AWS, Kubernetes platforms, CI/CD, DevOps practices, system resiliency, automation, controls, and operational issue resolution.

Develop quantitative risk factor models, financial instrument analytics, performance calculations, and scalable reporting frameworks processing terabytes of data. Collaborate with risk quants, engineers, researchers, and internal stakeholders to translate complex business needs into technical solutions. Contribute to system architecture, code quality, data pipelines, SQL optimization, and large-scale distributed data processing.

Supports data sourcing and strategy operations by managing relationships with data and research providers, coordinating service changes, renewals, onboarding, contracts, and approvals. Partners with Legal, Compliance, Finance, investment teams, and vendors to ensure compliant data usage. Maintains the team knowledgebase, supports operational workflows, responds to internal requests, and assists with onboarding while assessing data needs and negotiating business terms.

Software engineering interns develop and enhance applications supporting asset management, including trading systems, research platforms, and data tools. They participate in code reviews, maintain codebases, ensure scalability, document design decisions, and collaborate with cross-functional teams. Interns gain exposure to AI, machine learning, big data, cloud computing, and investment-firm technology while developing technical, communication, and presentation skills.