Top Tech Jobs & Startup Jobs

Supports APAC infrastructure credit investments through financial modeling, cash flow and capital structure analysis, due diligence, deal assessment and execution, investment committee materials, market research, portfolio monitoring, presentations, and fundraising support. The role covers investment-grade and non-investment-grade transactions across energy, transportation, digital, and water and waste infrastructure sectors in developed and emerging Asia-Pacific markets.

Design and implement scalable portfolio risk analytics and modeling services using Java and Python. Lead technical design, build application servers and APIs, optimize performance, mentor junior developers, collaborate with quantitative researchers and product managers, and deliver high-throughput, test-validated solutions for Aladdin clients.

Review and analyze private fund documentation (LPAs, side letters, MFNs) to identify non-standard drafting or missing documents, support fee and terms data analysis, validate FAIR outputs, and collaborate with senior lawyers and operations to deliver accurate client reporting.

Build and lead scalable, production-grade data platforms, pipelines, workflows, and analytics infrastructure for private markets data products. Translate business needs into technical architectures, own solutions through deployment and support, enable AI/ML production use cases, and establish standards for testing, governance, observability, security, and cloud-native development. Partner with engineering, data science, product, and senior stakeholders to deliver reliable, high-impact solutions.

Build and operate enterprise AI platform services, APIs, SDKs, agent runtimes, retrieval systems, evaluation frameworks, observability, guardrails, and governance controls. Lead architecture for scalable, secure, reliable cloud-native services; write production Python code; establish testing, CI/CD, and operational practices; and drive complex technical initiatives. Mentor engineers, shape platform roadmaps, and potentially assume broader people leadership as the team grows.

Lead product marketing for Aladdin Trading’s order and execution management platform. Responsibilities include positioning, technical storytelling, market and competitive insights, value proposition development, go-to-market strategy, product launches, adoption programs, sales enablement, client engagement, and thought leadership. The role partners with product, engineering, design, sales, and ecosystem teams to drive client usage and commercial impact.

Leads flagship AI Labs initiatives from scoping and research through production deployment. Designs and evaluates AI agents and agentic workflows, guides production-grade architecture, establishes quality and safety measurement, and partners with business and engineering stakeholders. Manages and mentors 3–6 AI scientists while communicating technical outcomes to senior leaders and broader audiences.

Provide technical leadership for production AI and machine learning systems, including generative AI, intelligent agents, predictive modeling, and optimization. Design scalable AI platforms, APIs, infrastructure, data pipelines, and observability frameworks. Lead architecture through deployment and continuous improvement while optimizing performance, reliability, security, and cost. Partner with multidisciplinary teams, establish engineering standards, mentor engineers, and translate emerging AI capabilities into measurable business outcomes.

Provides technical leadership for production AI and machine learning systems, including generative AI, intelligent agents, predictive models, and optimization. Establishes architecture, engineering standards, evaluation and observability practices, and reusable AI platforms. Partners across business, engineering, data, risk, and control teams to deploy and operate scalable systems while optimizing performance, reliability, security, and cost. Mentors engineers and influences technical strategy.

Develop and productionize AI and machine learning solutions for client, investment, and operational problems. Responsibilities include designing AI agents and agentic workflows, prototyping with foundation models and agent frameworks, building evaluation and observability systems, ensuring reliability and compliance, translating business needs into technical solutions, leading major initiatives, and presenting research and technical work to senior stakeholders.