About Grasshopper Asset Management

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.

About the Role:

We are seeking a highly motivated Junior Trader to join one of our trading teams. The successful candidate will be responsible for executing trades and monitoring the performance of our proprietary trading algorithms, working closely with our senior traders and developers to optimise trading strategies. The successful candidate should demonstrate an aptitude for problem solving and critical thinking. 

As a key member of the Trading Team, you’ll:

• Execute trades across multiple exchanges and trading platforms
• Monitor the performance of trading algorithms and make adjustments according to market conditions
• Work with developers to implement and test new trading strategies, and make incremental improvements to the algos
• Manage day-to-day trading operations
• Conduct pre-trade and post-trade analysis

We’d love for you to have:

• Bachelor’s degree in finance, economics, mathematics, computer science or a related field
• Previous experience on a trading or algo desk
• Experience with high-frequency trading strategies and algorithms
• Proficiency in Python
• Strong analytical and quantitative skills 
• Good communication skills
• Working knowledge of Linux
• Performs well independently and collectively as a team
• Ability to work in a fast-paced environment and under pressure

What we offer:

• 21 days annual leave
• An opportunity to learn from experienced professionals, fostering mentorship opportunities and personal growth
• Comprehensive Insurance Package with extended coverage for dependents
• Well stocked pantry
• Annual Dental & Wellness budget
• Gym membership
• Employee bonus referrals

#gam

About Grasshopper Asset Management

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.

About the Role:

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.

As a key member of the Trading Team, you’ll:

• 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

We’d love for you to have:

• 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

Nice to haves:

• 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

What we offer:

• 21 days annual leave
• An opportunity to learn from experienced professionals, fostering mentorship opportunities and personal growth
• Comprehensive Insurance Package with extended coverage for dependents
• Well stocked pantry
• Annual Dental & Wellness budget
• Gym membership
• Employee bonus referrals

#gam