Quantitative Researcher

Grasshopper is a quantitative trading technology provider based in Singapore, and is the holding company of Grasshopper Asset Management. Our state-of-the-art technology, built from the ground up in-house, puts us at the forefront of developments in electronic trading. An unbroken record of consistency and profitability is underpinned by firm values of curiosity, empowerment and flexibility.

Grasshopper Asset Management, a subsidiary of Grasshopper, is a Licensed Fund Management Company (LFMC) regulated by the Monetary Authority of Singapore. With low-latency quantitative strategies, we generate diversified, stable and uncorrelated returns with an unbroken 18 year streak of profitability by maintaining multiple layers of algorithmic and manual risk controls.

We are seeking a highly motivated Quant Researcher to be part of a new team. You will help design, analyse and refine statistical systematic trading strategies in a fast-paced, data-driven environment.

This is a career-defining opportunity which will allow you to gain hands-on exposure to real trading systems, market microstructure, and quantitative research workflows whilst being one of the founding members of a new team.

• Research and improve existing systematic trading strategies across global equities, futures, commodities, or options
• Analyse large datasets of market microstructure, order book, and tick data to identify opportunities
• Develop, backtest, and optimise predictive models using modern statistical, econometric, and ML techniques
• Develop production-quality code to translate research insights into live trading systems
• Evaluate performance, quantitative risk management, and continuously refine existing strategies through data-driven iteration
• Contribute to the research infrastructure — simulation tools, data pipelines, and performance analytics

• 2-5 years of programming experience in Python (pandas, numpy, scipy), or statistical/machine learning tech-stack in another programming language that we can reuse/redirect you in Python/C++
• Solid understanding of data structures, algorithms, and software fundamentals; demonstrable ability to turn quant ideas into working codes
• Familiarity with predictive statistics, machine learning, econometrics or time-series analysis, along with an interest in scientific methods for truth finding/hypothesis testing
• Bilingual English and Mandarin (spoken and written) competency to liaise with external stakeholders
• Basic knowledge of networking and Linux environments is a plus
• Basic knowledge of producing reproducible research is a plus

• Balance of pragmatism with a desire to see things done right and ambition to see new teams succeed and profit-share
• Open-minded, able to propose ideas, and provide constructive feedback on others' ideas
• Ability to reason under uncertainty, form hypotheses, test them empirically, and accept failure/post mortem
• Strong attention to detail and curiosity about how markets work

At Grasshopper, you will be working in a diverse and dynamic environment with a flat hierarchy. With over 100 employees and 15 nationalities working in an open office, communication is essential to performance. To keep our edge as the “small giant” of trading technology, we give employees a high level of autonomy and encourage them to get creative, take risks, make mistakes and learn from them. The sprint is on!

Grasshopper is an equal opportunity employer.