Analyze large datasets using statistical and machine learning methods to identify and combine alpha signals for global equity markets, primarily U.S. equities. Develop mid-frequency statistical arbitrage signals and str…
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Research, design, and implement alpha signals using proprietary backtesting and execution infrastructure, analyzing market data to identify mispricing. Assist with machine-learning frameworks for strategy optimization a…
Partner with equity portfolio managers to analyze and improve portfolio construction, risk-taking, investment processes, profitability, and scalability. Develop quantitative models and research, communicate actionable i…
Research, develop, backtest, and deploy medium-frequency systematic strategies in commodity futures and options, primarily across MCX energy, base metals, and bullion. Monitor live strategy performance, manage strategy-…
Develop and test predictive signals for global equities, build portfolio and risk models, and model transaction costs and execution. Deploy and monitor live strategies, evaluate new datasets, and collaborate with engine…
Research, develop, backtest, and implement quantitative signals and alpha factors for systematic equity strategies, using large datasets and statistical and machine learning techniques. Monitor live strategy performance…
Deliver quantitative consumer research projects from survey and questionnaire development through fieldwork coordination, data quality checks, analysis, and reporting. Support client presentations and consultations, gen…
The Senior Analyst supports the end-to-end delivery of quantitative consumer market research projects, including survey design, data analysis, and reporting. They also manage client communication and ensure high-quality…
Evaluate quantitative research and systematic trading strategies for fixed income and interest rate markets, including their statistical rigor, backtesting methods, assumptions, and implementation. Identify methodologic…
Extract useful information from raw data to build and monetize automated trading signals. Collaborate with traders and engineers to manage and upgrade signals based on changing market environments. Requires a bachelor's…
The researcher will develop and optimize quantitative models and algorithmic trading strategies for the MSET platform. They will analyze large-scale market data and conduct high-fidelity simulations to improve execution…
The role involves acting as an intermediary between the business and clients to manage research projects and meet client needs. Responsibilities include drafting proposals, designing questionnaires, analyzing data, and…
Conduct in-depth quantitative research on interest rate markets to identify alpha opportunities and develop systematic trading strategies. Design, backtest, and optimize quantitative models while performing transaction…
Collect, clean, and analyze complex financial datasets, and develop and test quantitative models for pricing, forecasting, and trading. Collaborate with researchers and developers to build systematic strategies and impr…
Research, develop, test, and deploy quantitative models and tools for pricing, risk, execution, and automated trading decisions. Work with traders, developers, and quantitative researchers to improve strategies, monitor…
Conduct exploratory data analysis and empirical research into inefficiencies in U.S. and global equity markets, while reviewing financial literature. Develop and improve investment models and strategies by identifying o…
Develop short-horizon intraday (T0) signals using advanced statistical modelling, machine learning, and time-series forecasting. Manage the end-to-end research process, including signal evaluation, transaction cost anal…
Develop and implement systematic trading strategies across global futures and liquid macro markets including equities, rates, FX, and commodities. Translate complex macroeconomic hypotheses into robust, testable trading…
Develop intraday predictive alpha signals for cash equities using order book and alternative data, apply machine learning, and conduct market impact modeling. Solve optimal execution problems, identify high-value P&L op…
The researcher will create intraday predictive alpha signals for cash equities using order book and alternative datasets. They will also apply machine learning techniques to optimize execution and perform in-depth marke…