THE ROLE

• Own the research, development and iteration of systematic multi-asset strategies across a global instrument universe spanning CME, ICE, LME, EUREX, SGX, JPX and ASX.

• Work across the full strategy spectrum: trend following, time-series and cross-sectional momentum, carry, term structure and volatility.

• Build portfolios under real-world constraints — multi-currency exposure, multiple time zones and trading calendars: risk budgeting, volatility targeting, FX exposure treatment and execution timing across sessions.

• Form a view on where strategies should and should not be exposed, informed by the global macro environment: central bank policy cycles, inflation paths, geopolitical risk and cross-market flows.

• Monitor live performance, run attribution, detect decay and recalibrate.

REQUIREMENTS

Experience

• 5+ years of quantitative research experience at an international hedge fund or global asset manager, including at least 3 years in CTA or multi-asset systematic strategies.

• Backgrounds we particularly value: dedicated CTA managers (AHL, Winton, Aspect, Transtrend, Campbell, Graham and similar), multi-strategy platforms (Millennium, Balyasny, ExodusPoint, Schonfeld and similar), and systematic macro funds.

• Strategies you researched must have traded live. You should be able to describe how long they ran, how far live results diverged from backtest, and why.

• Research coverage must include non-domestic markets, and span more than a single exchange or asset class.

• You have been through at least one full cycle of strategy decay and repair — and can explain what you concluded at the time, what you changed, and why.

Global Market Knowledge

• Familiarity with contract design, liquidity profiles, delivery and roll mechanics across the major global futures markets, and how these differ by venue.

• Understanding of the structural differences between markets: central-bank expectations pricing in developed rates futures, session-dependent liquidity in Asia-Pacific, industrial and inventory dynamics in commodities.

• Practical grasp of multi-currency portfolios: decomposing returns between local and base currency, the cost of FX hedging, and the relationship between carry and rate differentials.

• Ability to connect macro cycles to strategy performance in a testable way, rather than as post-hoc narrative.

Research Skills

• Master's degree or above in mathematics, statistics, physics, computer science, financial engineering or a related quantitative field.

• Strong Python (pandas, numpy, scipy); able to run the full pipeline independently from data handling through backtesting to portfolio optimisation.

• Solid statistical and time-series foundations: stationarity, cointegration, panel regression, bootstrap methods, multiple-testing correction.

• Professional scepticism toward backtest results, with an instinct for spotting data snooping, survivorship bias, look-ahead bias and parameter overfitting.

• Grounding in portfolio construction: risk parity, covariance shrinkage, convex optimisation.

• Quantitative understanding of transaction costs, market impact and cross-market capacity, informed by live trading rather than theory alone.

Other

• English as a working language — able to read primary research literature and exchange rulebooks, and to deal directly with offshore brokers and data vendors.

• Able to close the loop independently: idea → validation → deployment → iteration.

• Currently working in Singapore, or willing to relocate. Employment Pass sponsorship available.

PREFERRED

• Experience with strategies that carried USD 100m equivalent or more in live capital.

• Background in cross-asset macro or options volatility research.

• Experience with Asia-Pacific session instruments or cross-border relative value.

• Experience building a multi-factor risk model in-house.

• Chinese and English bilingual ability, for coverage of onshore commodity markets.