Quantitative Researcher | Remote or SGP | $200k base + Extremely strong upside

About the Role

We are looking for an exceptional Quantitative Researcher to join an existing liquid crypto 

trading business and help define its next phase of growth in frontier markets.

You will work with our team on live systematic strategies across digital asset markets. This 

includes improving signal research, execution, portfolio construction, risk-taking, and post-trade 

analysis within an established trading operation.

Your mandate will also extend beyond the current book. We want someone capable of 

investigating new markets, products, and strategy areas where they can build durable, 

scalable edge. This could include new systematic strategies within crypto, adjacent liquid 

markets, derivatives, volatility, market structure opportunities, or entirely new areas where our 

capital, infrastructure, and research process can be applied.

This is a role for someone who wants more than a narrow research seat. You will be part of an 

existing high-performing crypto trading desk, but with the scope to help shape what they 

trade next.

Role Responsibilities

• Develop, test, and deploy quantitative models using statistical, econometric, and machine 

learning techniques, with direct ownership over their PnL contribution.

• Explore diverse datasets, including market microstructure data, derivatives and 

macroeconomic series, to uncover persistent monetizable trading signals.

• Collaborate with our quant research team to productionize models, optimize execution, 

and enhance data and research infrastructure.

• Conduct rigorous backtesting, scenario analysis, and post-trade attribution to evaluate 

PnL drivers and refine model performance.

• Contribute to research pipelines and tooling that accelerate alpha discovery and strategy 

iteration.

• Contribute directly to PnL, risk-taking, and the strategic direction of the fund.

• Help shape broader firm priorities, including research direction, market selection, 

infrastructure, process, and how they compound edges over time.

Must-Haves

• 2–5 years of experience quantitative research, systematic trading, or a closely related 

role at a top-tier proprietary trading firm, hedge fund, or systematic trading platform.

• Exceptional academic and technical background, with strong foundations in statistics, 

probability, machine learning, optimization, or a related quantitative discipline.

• Proven ability to conduct rigorous research on noisy financial datasets and translate 

insights into live or production-relevant trading strategies.

• Strong programming ability, preferably in Python or a similar language, with the ability to 

work independently across research, data analysis, and prototyping.

• Clear evidence of being in the top tier of your peer group: intellectually, technically, and 

commercially.

• High ownership mindset. You should be excited by ambiguity, responsibility, and the 

opportunity to build rather than simply slot into an existing machine.

What We’re Looking For

• Someone trained in a high-performance trading environment who wants a broader 

mandate and a more entrepreneurial seat.

• Strong research judgement: the ability to distinguish real signal from noise, ask good 

questions, and avoid overfitting or fragile conclusions.

• Intellectual independence: you should be comfortable forming your own views, 

challenging assumptions, and proposing new directions.

• Firm-building mindset: you care about more than isolated trading problems. You are 

interested in research direction, infrastructure, process, risk, team quality, and how the 

firm compounds edge over time. You want to help shape a world-class trading business, 

not just contribute models to one.

• Strategic judgement: you can help identify not only whether a signal works, but whether 

an opportunity is worth pursuing and how it fits into the broader direction of the fund.

• Strong communication skills. You should be able to explain research clearly to both 

technical and trading-focused colleagues.

• Experience in digital asset markets is favourable but not required.

If this sounds like you, please apply here!

Thanks

Nick