Top Research Jobs in Singapore

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

Plan, activate, and optimize top-of-funnel APAC research marketing campaigns across email, digital, social, paid, events, and webinars. Collaborate with global research, creative, and comms teams, manage multiple campaigns, analyze KPIs to optimize performance, and localize messaging for regional audiences.

Participate in semiconductor technology research and development projects: perform experiments, data analysis, modelling/simulation, and device characterization; generate technical reports, recommendations, and present findings. Leverage AI/ML and advanced analytics where applicable and collaborate with engineers to support process integration and next-generation memory technology development.

Develop and productionize quantitative models and systematic trading strategies for prime services. Build portfolio optimization and automation tools, conduct scenario and performance analysis, and deliver production-quality analytics and governance supporting trading, risk, and financing decisions.

Lead quantitative research and systematic trading efforts for Prime Financial Services. Build models, analytics, and production infrastructure to optimize inventory, collateral, financing, hedging, and execution. Drive research-to-production lifecycle, monitoring, controls, performance attribution, and partner directly with trading, technology, and risk to deliver actionable, production-quality solutions.

Join a cross-asset front-office quant trading team to design and implement algorithmic execution strategies, back-test models and signals, develop low-latency infrastructure and transaction-cost-analysis models, and perform statistical analysis to optimize client execution.

Develop and maintain mathematical models and trading algorithms for valuation, hedging, risk measurement, and electronic trading in commodities. Collaborate with trading desks, product managers, technology, and control functions to implement production-ready models, ensure regulatory compliance, and support quantitative innovation and portfolio risk methods.

Join a front-office quantitative trading team to design and implement algorithmic execution strategies, back-test models and signals, build low-latency trading tools, and run real-time and post-trade transaction cost analysis to optimize execution.

Conduct macroeconomic analysis and forecasting for Asian frontier economies, build and maintain econometric models and chartbooks, contribute to EM Edge publications, collaborate with economists and strategists, respond to client requests, and support sales and trading with research insights.

The role involves developing and improving mathematical models for trading, analyzing statistical data, backtesting trading models, and using unconventional data for insights.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

The intern will develop trading strategies, back test models, analyze data, and collaborate with the research team to innovate and refine monetization systems.

Lead user research and market insights to evaluate customer perception of Airwallex. Design qualitative and quantitative studies, synthesize feedback, present data-driven recommendations to leadership, and collaborate with product, engineering, and commercial teams to integrate insights and improve customer experience.

Conduct research, statistical analyses, and develop automated trading strategies using large data sets and sophisticated statistical techniques.

The Quantitative Research Analyst will develop and test trading strategies, implement models, and conduct statistical analysis in financial markets.

The role involves pioneering machine learning techniques, developing advanced AI models, building data pipelines, and translating prototypes into products in code analysis.

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.

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

Conduct and document research under the PI, design and run experiments, present findings, support team operations, mentor juniors, develop proposals, and help attract funding while collaborating across multidisciplinary teams.

Conduct research applying AI and agentic systems to software vulnerability discovery, program analysis, and automated code review. Design, implement, and evaluate detection and remediation approaches; build prototypes, datasets, and experimental frameworks; analyze results and publish findings; maintain code repositories and documentation; collaborate with team to meet project milestones and support proposal/report preparation.

Design and optimize high-performance kernels and custom operators for attention, MoE, GEMM, quantization and collective communication across NVIDIA, AMD and AWS Trainium. Improve LLM inference runtimes, develop distributed training/inference solutions at scale, use compilers and SDKs (Neuron, Torch Dynamo, PyTorch/XLA), contribute to open-source, and publish technical findings.

Support the Research team by onboarding Insight Providers, identifying research gaps, tracking team OKRs, and managing bespoke client research projects, timelines, and deliverable quality.

Maintain accurate general ledger; execute month-end and year-end close; prepare accounts payable, journal entries, accruals, reconciliations and bank wires; produce financial statements and management reports; monitor cash flow; support audits, tax filings and regulatory compliance; maintain controls and documentation; identify accounting automation opportunities; liaise with banks, auditors, tax agents and external providers.

Manage daily trade bookings, reconciliations, settlements, corporate actions, and reporting across the trade lifecycle. Liaise with counterparties, custodians and prime brokers to resolve issues and onboard business. Drive process improvements and implement automation and data-management solutions to increase operational efficiency and scalability in a trading environment.