Research and develop systematic trading strategies for futures and equity markets using statistical modelling and machine learning. Lead the full research lifecycle from idea generation and backtesting to production and…
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quant-research jobs
61 current jobs in the quant-research role family.
Current opportunities
Search all jobsThe role focuses on identifying and developing new sources of alpha across equity markets through end-to-end research. This includes signal development, hypothesis generation, and translating research into scalable syst…
Develop quantitative research, systematic signals, and relative-value frameworks for equity volatility and derivatives markets. Build and maintain production-quality tools for options pricing, risk modeling, and portfol…
Research and develop trading and investment strategies for international secondary markets using a data-driven approach. Extract patterns from market microstructure and multivariate data to build diversified quantitativ…
Research and develop mathematical models to identify investment and trading opportunities in global financial markets. Responsibilities include analyzing financial datasets and implementing quantitative trading signals.…
Research and develop mathematical models to identify investment and trading opportunities in global financial markets. Responsibilities include analyzing financial datasets and implementing quantitative trading signals…
The Senior Quantitative Researcher will independently manage quantitative research, build trading models, and implement production trading systems in OCaml. Additionally, the role involves mentoring junior researchers a…
Develop alpha-generating strategies from idea generation through to live execution. Research complex, large-scale datasets to uncover predictive signals for equity mid/high frequency trading. Requires an advanced degree…
The researcher will utilize alternative datasets to develop systematic equity strategies for mid-frequency horizons. They will have the autonomy to work on end-to-end strategies to drive performance and expand into glob…
Develop mathematical models and valuation strategies to uncover alpha and refine investment strategies. Translate complex algorithms into production code and implement signals in live trading environments. Requires a Ph…
Conduct original quantitative research to develop new systematic Macro trading strategies and alpha signals across global markets. Analyze complex datasets to identify market inefficiencies and collaborate with portfoli…
Conduct quantitative research to develop and enhance systematic Macro and Equity strategies by analyzing complex datasets for predictive signals. Collaborate with portfolio managers and engineers to implement, monitor,…
The role involves creating and deploying alpha signals to improve the profitability of a major profit center within a systematic hedge fund. The researcher will collaborate with stakeholders to translate theoretical con…
Design, build, and deploy state-of-the-art models and algorithms for systematic trading. Analyze large datasets to identify patterns and collaborate with traders to move research into live production. Requires a PhD in…
Develop and productionize proprietary ML models and AI agents to enhance market intelligence and client workflows. Oversee model evaluation, backtesting, and governance while providing technical leadership to junior tea…
Research and develop systematic trading strategies using large-scale financial datasets and deep learning models. Collaborate with traders and engineers to move research hypotheses into production environments. Requires…
Research, design, and validate systematic trading strategies across Indian equities, commodities, and derivatives. Use large-scale market and alternative datasets to uncover predictive signals and improve trading perfor…
Design and implement end-to-end systematic market-making and arbitrage strategies to drive the DeFi economy. Build high-performance trading system components and analyze on-chain data to optimize execution and risk metr…
The researcher will translate trader hunches into evidence-based signals by conducting rigorous data analysis and backtesting. They are responsible for maintaining a library of trading signals and providing clear, actio…
Develop market-neutral signals and machine learning models to predict the future movements of liquid financial assets. Parse large data sets and implement state-of-the-art academic research to optimize trading strategie…