Quantitative Researcher

Grasshopper Pte Ltd; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A quantitative trading technology provider in Singapore is seeking a Quant Researcher to join their trading team. This role offers the opportunity to work with experienced traders and developers. Candidates should have programming experience in C/C++ or Python/R, along with a strong foundation in data analysis and machine learning techniques. The company offers a dynamic work environment and competitive compensation.

Benefits

21 days annual leave

Comprehensive Insurance Package

Annual Dental & Wellness budget

Gym membership

Competitive compensation

Qualifications

• 4–6 years of programming experience in C/C++ or Python/R.
• Solid understanding of data structures and algorithms.
• Experience with Python scientific stack (pandas, numpy, scipy) preferred.

Responsibilities

• Research and improve existing systematic trading strategies.
• Analyse market microstructure and tick data.
• Develop and optimise predictive models.

Skills

C/C++ programming

Python/R programming

Data analysis

Machine learning

Statistical techniques

Job description

About Grasshopper

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.

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 join our growing quant trading team. This is a career‑defining opportunity to work closely with experienced traders and quantitative developers, gaining hands‑on exposure to real trading systems, market microstructure, and quantitative research workflows whilst using your quantitative and programming skills in order to help design, analyse and refine statistical systematic trading strategies in a fast‑paced, data‑driven environment.

Key Responsibilities

• Research and improve existing systematic trading strategies across global equities, futures, 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.
• Write software (paired with Senior devs / team lead) to translate research insights into efficient C++ production 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.

Desired Qualifications

• 4–6 years of programming experience (academic or professional) in C/C++ or Python/R.
• Basic knowledge of networking and Linux environments is a plus.
• Basic knowledge of producing reproducible research is a plus.
• Solid understanding of data structures, algorithms, and software fundamentals; demonstrable ability to turn quant ideas into working codes.
• Proficiency in Python scientific stack (pandas, numpy, scipy), or clear evidence of experience with statistical/machine learning tech‑stack in another programming language that we can re‑use/redirect in Python/C++.
• Interests or familiarity with predictive statistics, machine learning, econometrics or time‑series analysis.
• Interests in scientific methods for truth‑finding / hypothesis testing.
• No prior experience in finance or trading required, but an interest in the domain and a willingness to learn.

Must‑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.
• Intellectual humility: Ability to reason under uncertainty, form hypotheses, and 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.
• Competitive compensation.

What you can expect working at Grasshopper

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.