Top Research Jobs in Singapore

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.

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.

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.

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

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

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.

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

Quantitative Researchers work on developing mathematical models, backtesting trading strategies, and conducting statistical analysis, utilizing complex data sets and algorithms.

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

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

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

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

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.

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 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 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.

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.

Support development of tokenized equity products by conducting due diligence, building financial and commercial models, performing market and competitor research, preparing committee memos and presentations, tracking ECM activity, and owning research workstreams through transaction execution.

Manage end-to-end operations of a multi-year national longitudinal quality-of-life study: oversee vendors and procurement, design questionnaires, maintain data integrity, perform advanced longitudinal statistical analyses, produce data visualisations, and communicate findings to government stakeholders to inform policy and service planning.

Support translational cancer and microbiome research through wet-lab molecular biology, cell and microbial culture, animal studies, clinical participant recruitment and biospecimen processing. Assist data analysis, lab operations, equipment procurement, and collaborate with investigators to meet project milestones and ensure protocol compliance.

Conduct and develop ultrafast spectroscopy experiments on perovskite nanomaterials, including setting up time-resolved two-photon-photoemission and ARPES, operating XPS/UPS, performing micro-transient absorption and pump-probe studies, analyzing data independently, and assisting in manuscript preparation.

Lead research in passive RF sensing and LEO/NTN satellite waveform detection, characterization, and parameter estimation. Develop theoretical waveform estimation methods, validate via SDR experiments, supervise students, publish findings, support proposals, and handle administrative duties.

Conduct research on passive detection, classification and geolocation of unknown ground terminals using LEO NTN signals. Develop theory and experiments, validate methods on real data, supervise trainees, publish findings, and support proposals and administrative tasks.

Conduct research on the WebAssembly programming language, publish in top venues, assist students, collaborate with academic and industry partners, and perform related research duties.