The role involves pre-processing large datasets for model estimation and event studies. The researcher will identify features and relationships to improve the predictive modeling of market dynamics. Candidates should be…
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Search all jobsThe role involves pre-processing large datasets for model estimation and event studies. The researcher will identify features and relationships to improve the predictive modeling of market dynamics. Candidates should be…
The role involves pre-processing large datasets for model estimation and event studies. The researcher will identify features and relationships to improve the predictive modeling of market dynamics. Candidates should be…
The role involves pre-processing large datasets for model estimation and event studies. The researcher will identify features and relationships to improve the predictive modeling of market dynamics. Candidates should be…
Develop and test quantitative signals and portfolio construction methods for commodity and cross-asset markets. Translate research findings into client-facing content and support due diligence requests. Requires 3-5 yea…
Conduct quantitative research on equity volatility and derivatives to develop systematic signals and relative-value frameworks. Build and maintain options pricing models, risk analytics, and production-quality trading i…
The role involves conducting original research to develop and test signals across commodity and cross-asset markets for live portfolios. Additionally, the researcher will contribute to portfolio construction, risk analy…
Develop and backtest linear statistical models for macro directional forecasting and relative value signals across cross-asset futures. Own the full research cycle from signal generation and feature engineering to live…
Develop and refine predictive signals across commodities, prediction markets, and global macro strategies. Manage the systematic implementation of these models while leveraging institutional-grade execution and risk man…
Develop and refine predictive signals across commodities, prediction markets, and global macro strategies. Manage the systematic implementation of these models while leveraging institutional-grade execution and risk man…
Develop and refine predictive signals across commodities, prediction markets, and global macro sectors. Manage the systematic strategy and model performance while the company handles execution and infrastructure. Candid…
Develop and refine predictive signals across commodities, prediction markets, and global macro strategies. Manage the systematic strategy while the firm provides capital, execution, and infrastructure support. Candidate…
Develop and refine predictive signals across commodities, prediction markets, and global macro strategies. Manage the systematic strategy and model performance while the firm handles execution and infrastructure. Candid…
You will research, prototype, and validate systematic trading signals for commodity markets using advanced machine learning and statistical methods. Additionally, you will collaborate with developers to transition these…
The role involves pairing rigorous quantitative research with real-time trading to execute strategies across crypto and traditional markets. Responsibilities include participating in a structured graduate track with men…
Lead the end-to-end research cycle for systematic trading strategies, from alpha discovery and signal generation to production implementation. Analyze large datasets using statistical methods and machine learning to ide…
You will design, test, and deploy systematic trading strategies across various DeFi protocols while analyzing on-chain data to identify alpha signals. Additionally, you will collaborate with engineers to integrate these…
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…
The 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…
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…