Top Research Jobs in Singapore

Develop modern C++ systems for systematic investing, including low-latency data processing, high-frequency trading execution, quantitative analytics libraries, and machine-learning inference tools. Collaborate with quantitative researchers to build scalable, reliable, and performant production platforms, design distributed data pipelines, evaluate system architectures, and maintain fail-safe live-market trading infrastructure.

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.

Quantitative Research Engineers at Citadel's GQS develop software solutions, enhance trading systems, and collaborate with researchers to apply quantitative techniques.

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.

Supports investment strategy research through financial-market data analysis, charting, modeling, presentations, and ad hoc requests. The role researches data sources, maintains accurate internal analyses, evaluates processes, summarizes institutional investment research, and assists with quantitative projects using R and financial analysis. Analysts collaborate globally with senior investment professionals and may contribute directly to research on asset allocation, macroeconomics, and investment strategies.

Research mobile malware behavior and concealment techniques on Android or iOS. Evaluate anti-malware applications and built-in mobile security features, assess their effectiveness in detecting and mitigating malware, and propose improvements. The project lasts 2–4 months and is intended for undergraduate or pre-university interns with basic C/C++ programming and mobile application development skills.

Undergraduate internship focused on researching publicly reported Windows and Windows application vulnerabilities, evaluating vulnerability discovery tools, performing reverse engineering and assembly analysis, documenting findings, and developing proof-of-concept code to demonstrate security impact.

Research publicly reported vulnerabilities in Android or iOS applications and operating systems. Assess vulnerability impact, develop proof-of-concept demonstrations, evaluate existing mitigations, identify similar vulnerabilities, and develop additional mitigations. The internship requires C/C++ programming, mobile application development, and an interest in mobile device security, with reverse engineering, ARM assembly, and software vulnerability knowledge recommended.

Undergraduate intern researching cybersecurity products, malware detection capabilities, anti-tampering features, and product vulnerabilities. The intern will develop a proof of concept to extract detection heuristics and test vulnerabilities, then automate the process into a tool supporting malware analysis and identification of anti-detection behavior.

Conduct interdisciplinary research involving MEMS, microfabrication, soft materials, and bioactive delivery systems. Design experiments, analyze and interpret data, prepare manuscripts and reports, support grant proposals, collaborate with researchers and external partners, mentor junior researchers, and maintain compliance with laboratory, safety, ethical, and institutional requirements.

Deliver quantitative consumer research, analytics, and insights for FMCG clients. Build trusted client relationships, understand business priorities, create actionable recommendations, present compelling data stories, provide product training, and identify opportunities for account development. The role covers brand health, segmentation, usage and attitudes, customer experience, and shopper insights while ensuring accurate, timely project delivery and high customer satisfaction.

Supports faculty-led academic research through literature reviews, dataset collection and management, quantitative or qualitative analysis, survey and experimental research, and preparation of reports, manuscripts, presentations, and grant proposals. The role also involves research documentation, ethics applications, collaboration with faculty and doctoral students, and participation in scholarly activities.

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.

Develop tools and infrastructure for training language models in interactive environments, implement novel methods in language modeling, reinforcement learning and multi-agent systems, and contribute to publications and open-source projects.

Conduct research for investment opportunities, evaluate viability and performance of investments, and prepare financial models and recommendations.

Build and maintain earnings models and financial analyses for ASEAN energy, power, and infrastructure companies. Monitor global sector news, conduct industry research, develop differentiated investment insights, and produce research reports. Respond to client analysis requests, support analyst-led marketing and meetings, and increasingly engage directly with clients while collaborating across global teams under tight deadlines.

Develop datasets, evaluation methods, validation tools, and quality standards for robotics and embodied AI systems. Translate research needs into dataset specifications, design collection protocols, audit multimodal robotics data, and run experiments analyzing how data quality and structure affect model performance. Collaborate with research, engineering, data providers, and customers to improve robotics data offerings.

Conducts research and develops software and hardware for uncertainty-aware robotic perception and robust manipulation. Responsibilities include designing and benchmarking algorithms, developing ROS/ROS2 open-source software, integrating robotic hardware and sensors, validating systems experimentally, writing patents and research papers, managing laboratory infrastructure, and co-guiding students.

Drive long-term research and build production-ready enterprise AI: prototype and scale models, lead projects, validate with customers, collaborate with product and engineering to deliver large-scale generative AI and agent systems.

Conduct paleoseismic trenching, fault-zone and bedrock analysis, geological sample characterization, laboratory testing, scientific data management, and technical reporting. The Research Engineer II role develops and validates operational seismic-processing software, integrates AI-assisted earthquake monitoring workflows, contributes to research publications, and mentors students. Roles require multidisciplinary collaboration, detailed documentation, and field or laboratory work.

Supports paleoseismology, neotectonics, and geodetic research through geological fieldwork, trench investigations, sample processing, levelling-data digitization, quality control, and analysis. Responsibilities include geological and geodetic data management, integration of levelling, InSAR, and GNSS observations, technical reporting, and collaboration across multidisciplinary research teams. The role may involve demanding fieldwork, regional travel, and mentoring undergraduate interns.