The role involves conducting structured research and building scenario narratives to help clients navigate long-horizon uncertainty and strategic risk. You will develop systems maps and causal frameworks to translate co…
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Search all jobsThe role involves conducting structured research and building scenario narratives to help clients navigate long-horizon uncertainty. You will develop systems maps and causal frameworks to translate complex data into str…
The intern will research, develop, and implement systematic trading strategies while collaborating with various research teams. They will also apply quantitative techniques to large datasets and contribute to the firm's…
Research and develop automated market making strategies and execution algorithms for global sports betting markets. The role involves analyzing liquidity, pricing, and market microstructure to deploy production-quality…
The role involves designing features, architecting models, and improving signals for an HFT alpha stack. The researcher will manage the full pipeline from feature engineering to optimizer tuning for live crypto strategi…
Run an independent trading pod with full autonomy and ownership of a book. Develop and execute mid-frequency statistical arbitrage strategies with signal horizons ranging from hours to weeks. Proven track record of buil…
Research and implement high-frequency trading and pricing strategies by analyzing large datasets for statistical opportunities. Develop and optimize simulation and backtesting frameworks to translate mathematical models…
The role focuses on generating and validating short-horizon systematic equity signals using agentic and LLM-driven research pipelines. Responsibilities include distinguishing genuine information edges from pipeline arte…
Develop and deploy mid-frequency quantitative trading strategies and predictive models for digital assets. Analyze high-resolution market data to uncover alpha signals and collaborate with developers to optimize executi…
Collaborate with mentors to develop and implement mathematical models and algorithms for investment strategies. Analyze large datasets to identify trends and present findings to support strategic decision-making. Candid…
Conduct original research using predictive machine learning to identify patterns in financial-market behavior for systematic trading. Develop, validate, and implement statistical models for return prediction and signal…
Conduct original quantitative research to develop and implement systematic trading strategies for Equities or FX Statistical Arbitrage. Analyze complex datasets to identify predictive signals and manage the full strateg…
The researcher will be responsible for researching and live trading alpha signals for futures and FX across various frequencies. They will manage the full research pipeline, including data acquisition, signal constructi…
Research and develop quantitative trading strategies by analyzing large datasets to identify predictive signals. Take ownership of the full lifecycle from initial hypothesis and backtesting to production implementation…
Support equities portfolio managers and analysts to uncover new ways to increase PnL. Collaborate with business leadership to make critical decisions regarding risk, portfolio construction, and the broader investment pr…
Researchers independently conduct quantitative finance research focusing on statistical and predictive models. They manage the full research lifecycle, including methodology selection, data analysis, prototyping, and pe…
Conduct original quantitative alpha signal research and develop predictive models for systematic trading. Manage the full research lifecycle from idea generation and data analysis to backtesting and portfolio analysis.…
Develop systematic trading strategies and signals for macro and equity markets using proprietary flow and positioning datasets. Manage the full research lifecycle from idea generation and hypothesis testing to monitorin…
Develop AI-driven equity trading signals by applying state-of-the-art machine learning methods to proprietary datasets. Manage the full research lifecycle from ideation and implementation to evaluation and application.…
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…