Top Tech Jobs & Startup Jobs in Singapore

Supports JPMorgan Chase’s APAC Anti-Corruption Compliance program through policy oversight, governance, advisory, pre-clearance reviews, monitoring, risk assessments, testing, investigations, training, and policy enforcement. The role advises business and corporate stakeholders, partners with global compliance teams, drives program improvements, and uses data analytics and AI-enabled tools to enhance compliance decision-making.

Lead production technology support for applications and infrastructure, ensuring service stability, availability, and performance. Monitor environments, troubleshoot anomalies, manage incidents, problems, and changes, and coordinate issue resolution with business and technology stakeholders. Use observability tools and validated AI-assisted practices to identify recurring issues and improve resiliency, security, and auditability. The role supports on-premises and public-cloud environments and requires knowledge of Linux/Unix, scheduling tools, databases, SQL, Jenkins, Git, Bitbucket, and ITIL processes.

An off-cycle quantitative trading and research internship focused on derivatives pricing, risk management, electronic execution, systematic trading, and portfolio optimization. The intern will build mathematical and machine learning models, develop pricing and hedging tools, research trading strategies, conduct scenario analysis, assess model risk, and implement high-performance analytics in production systems while collaborating with traders, risk managers, and banking teams.

Develops secure, scalable software solutions for JPMorganChase’s Asset and Wealth Management technology teams. Responsibilities include Java and React development, microservices architecture, production coding, automated testing, application design, data analysis, performance tuning, CI/CD, resiliency, security, and use of enterprise-authorized AI coding tools. Collaborates in agile teams to troubleshoot complex technical issues and improve system architecture and development practices.

Leads software engineering within an agile Asset and Wealth Management technology team. Designs, develops, tests, troubleshoots, and reviews secure, scalable Java applications. Drives production stability, automation, CI/CD, resiliency, and responsible adoption of AI-assisted development tools. Coaches engineers on validating AI outputs and secure practices, and evaluates vendor and architectural solutions. Requires cloud-native experience, financial services IT knowledge, and expertise with Java and Spring Boot; AWS and Terraform experience is preferred.

Three-to-six-month quantitative trading and research internship developing mathematical models, pricing and risk tools, algorithmic trading strategies, portfolio analytics, and high-performance software. Interns apply machine learning and advanced statistics to derivatives pricing, hedging, electronic execution, market making, risk management, and systematic trading. The role involves quantitative research, scenario analysis, model validation, production implementation, collaboration with traders and risk managers, and communicating technical findings.

Develop and optimize C++17/20 low-latency trading systems for options market making and volatility execution. Build high-throughput market data and order flow platforms, implement exchange connectivity, troubleshoot production systems, and produce architecture artifacts. The role requires performance optimization, socket programming, real-time messaging, secure coding, testing, operational stability, and responsible use of AI-assisted development tools. Knowledge of derivatives pricing, market data handlers, order management systems, and mentoring is preferred.

Develops secure UI and backend services enabling compliant enterprise AI and LLM access for China-based users. Responsibilities include designing APIs and applications, integrating approved LLM endpoints, implementing policy enforcement and access controls, producing architecture artifacts, maintaining AWS services, analyzing operational telemetry, and improving resiliency, security, and coding practices. The role also promotes responsible AI-assisted development, testing, automation, and agile software delivery.

Leads reliability, performance, and operational excellence for Linux-based compute platforms supporting low-latency electronic trading. Defines reliability targets, improves observability, automates infrastructure, tunes kernels and hardware, manages incidents, coordinates data center hardware support, and drives root-cause analysis. Partners with network and trading technology teams to optimize latency and stability, mentors engineers, and establishes secure, auditable AI-assisted reliability workflows.

Develop and maintain secure, resilient software for a mission-critical real-time payments platform. Responsibilities span design, Java/Spring development, testing, troubleshooting, code reviews, production readiness, automation, and operational support. The role requires full SDLC participation, distributed systems understanding, cloud exposure, secure coding, responsible AI-assisted development, and collaboration across upstream and downstream systems.