Top Research Jobs in Singapore

Conduct applied AI/ML research focused on software engineering, code quality, testing, and maintenance. Design experimental prototypes, develop Python-based AI/ML solutions, collaborate with researchers, engineers, and product managers, publish findings, participate in code reviews, and apply DevOps practices to maintain reliable research infrastructure.

Develop mathematical models and trading strategies, back test trading models, conduct research and statistical analysis for monetization systems.

Collaborate with quantitative researchers to analyze data, develop research tools, and enhance and maintain automated trading systems and algorithms. Build scalable software solutions using quantitative techniques to address complex financial problems. The role requires strong programming, Linux development experience, creative problem-solving, business-value prioritization, and effective stakeholder communication.

Develop high-performance C++ systems for systematic investing, including real-time data processing, low-latency trading execution, and machine-learning inference tools. Design scalable distributed systems and resilient data pipelines, maintain critical production platforms, and build greenfield solutions in collaboration with quantitative researchers. Ensure software correctness, reliability, performance, and fail-safe operation in live-market environments while aligning technical work with business value.

As a Quantitative Research Analyst Intern, you will develop and improve trading models, conduct statistical analysis, and collaborate with team members in a data-driven environment.

Build high-performance research and production systems for AI-driven systematic trading. Responsibilities include developing low-latency C++ services, market-data and execution components, quantitative research pipelines, backtesting and simulation platforms, machine-learning model deployment workflows, and monitoring infrastructure. Optimize systems for throughput, latency, memory efficiency, resilience, and deterministic behavior while partnering with quantitative researchers and traders to productionize strategies and support live trading systems.

Conduct deep AI and quantitative research for electronic trading by pre-training Transformer and time-series foundation models on large-scale financial datasets. Develop representations, architectures, self-supervised objectives, distributed training systems, fine-tuning methods, and evaluation protocols for alpha generation, pricing, execution, market making, and risk management. Study scaling laws, transfer learning, robustness, data efficiency, inference cost, and latency while collaborating with infrastructure engineers to build reusable model-training and serving components.

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.

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.

Conduct ML/DL research to develop predictive models from large market datasets, integrate models into systematic trading strategies, contribute to AI/ML libraries, and deploy production algo systems with P&L responsibility across FX, Rates, Commodities, and Credit.

Research and develop novel AI models, algorithms, and systems; validate them through rigorous experiments and large-scale distributed training; and transition prototypes into production. The role involves deep learning, LLM pre-training and alignment, efficient GPU/TPU utilization, scientific analysis, technical writing, mentoring, code and paper reviews, open-source contributions, and end-to-end project ownership.

Provides research and data-analysis support to economists focused on monetary economics and financial markets in Asia and the Pacific. Responsibilities include preparing publications and presentations, collecting and validating data, reviewing methodologies, developing databases, identifying new data sources, applying advanced analytics, and collaborating on innovation projects. The role bridges economics, data, and technology in a multicultural international environment.

Conduct quantitative analysis of the Chinese energy market, collaborate with modeling teams, structure economic problems, interpret model results, support product development, and communicate insights and recommendations to clients. The role requires strong quantitative skills, interest in energy markets and policy, teamwork, communication, and fluent Mandarin.

Lead and mentor a research team developing agentic AI (planning, RL, LLMs, diffusion, multi-agent systems). Define and execute research strategy, track state-of-the-art work, and build external AI community relationships to position Skyfall as a research leader.

Support lead analysts by maintaining industry models, perform financial analysis and three-statement modeling, research semiconductor and AI markets, prepare reports and presentations, represent the firm at APAC events, and contribute to newsletter articles.

Conduct interdisciplinary research on AI and deepfake scams, related legal and cybercrime frameworks, and scam resilience. Coordinate research projects, experiments, data collection, grants, procurement, governance, events, partnerships, communications, budgets, and stakeholder engagement across academic, industry, and government organizations.

Develop, train, evaluate, optimize, and deploy machine learning and deep learning algorithms for intelligent surveillance products. Responsibilities include data preprocessing, feature engineering, model research, algorithm integration, inference optimization, documentation, and collaboration. The role focuses on target detection, feature extraction, tracking, recognition, and applying emerging AI technologies to business problems.

Supports air traffic management research through systems integration and prototyping. Develops and integrates software components, algorithms, data interfaces, decision-support tools, architectures, and simulation platforms into functional prototypes. Performs testing, verification, validation, troubleshooting, data processing, and demonstrations while preparing technical documentation, reports, and research outputs. Collaborates with multidisciplinary researchers and engineers to translate concepts into reliable, interoperable ATM solutions.

Conduct research on efficient continuous-time models for neuromorphic sensors, evaluate their scalability, and apply them to embodied AI. The role involves designing experimental methods, formulating hypotheses, implementing models, analyzing results, collaborating across disciplines, and reporting project progress.

Design and develop frontend interfaces for a Digital Twin platform, including real-time dashboards, charts, 3D visualizations, and interactive data components. Integrate APIs, simulation outputs, and real-time data streams with backend systems. Improve frontend architecture, performance, latency, reliability, debugging, and usability while collaborating with engineers and multidisciplinary domain experts. Conduct innovative research, formulate hypotheses, design experiments, implement experimental methods, and report project progress.

Administer and maintain e-learning platforms for the CHARM study, including installation, configuration, plugins, course structures, user support, integrations, security, updates, and troubleshooting. Track platform usage, extract data, prepare reports and analytics, organize digital learning resources, support online learning activities, and assist with research and program operations.

Conduct equity research on ASEAN companies across multiple sectors. Build and maintain earnings models, perform financial analysis, monitor global news, develop differentiated investment insights, write research reports, respond to client requests, and support analyst-led client interactions. The role requires strong accounting and financial modeling skills, rapid analytical judgment, proactive research, deadline management, and collaboration across global teams.

Lead APAC employment and mobility tax matters, advising on international assignments, cross-border work, business travel, payroll withholding, social security, benefits, incentives, and tax compliance. Partner with HR, Payroll, Finance, Reward, local teams, and external advisors across jurisdictions. Oversee tax returns, shadow payroll, tax equalization, governance, controls, process improvements, and global People Tax projects.

Leads research data and analytics operations, including funding and publication reporting, data governance, quality control, process improvement, dashboards, automation, and intranet management. Coordinates stakeholders across university offices, establishes data standards and workflows, produces management insights, oversees research data management, and guides team members in delivering accurate, timely work.

Conduct theoretical and numerical research on electromagnetic turbulence and transport in tokamak boundary plasmas. Develop and test physical models within a three-dimensional two-fluid simulation framework, run linear and nonlinear simulations on high-performance computing systems, validate results, analyze turbulence and energy transfer, and contribute to documentation, publications, reports, and presentations.