Develop and optimize high-frequency trading signals and statistical arbitrage strategies using tick-level market data. Collaborate with developers to implement low-latency trading code and monitor live strategy performa…
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Interns will work within the Quant or Applied AI team to apply frontier AI techniques to research and trading problems. Responsibilities include developing core analytics libraries, integrating AI into trading tools, an…
Develop and execute trading strategies to optimize the performance of energy assets while managing market and operational risks. Collaborate with cross-functional teams to support asset onboarding and ensure compliance…
The Vice President is responsible for market-making, risk management, and trade execution across Agency Mortgage-Backed Securities products. They will partner with internal stakeholders to deliver liquidity and trade id…
Design, build, and optimize automated execution and hedging systems for crypto exchanges and liquidity venues. Manage the full lifecycle of trading systems from quantitative research and backtesting to deployment and pe…
The analyst will research, develop, and improve algorithmic trading strategies and smart order routing systems to minimize execution costs. They will also analyze market data, generate trading signals, and produce perfo…
Execute systematic macro trading strategies across multiple asset classes while maintaining best execution principles and monitoring algorithmic performance. Partner with portfolio managers, researchers, and technology…
Design and implement sequential decision algorithms for trading energy storage resources in real-time markets. Develop software to automate financial hedging strategies and risk quantification for the company's energy p…
Analyze large and varied datasets to investigate market behavior, develop statistical models of financial instrument valuation and returns, and implement trading strategies and algorithms. Build robust, scalable quantit…
Develop, test, and execute systematic trading strategies using quantitative research and market data, while optimizing signals, portfolio construction, execution, and transaction costs. Monitor live performance, risk li…
Collaborate with on-site quantitative researchers to improve trading strategies and develop Python tools for strategy research. Improve and maintain simulation and backtesting frameworks, monitor research jobs, and supp…
Develop and deploy trading strategies for nodal congestion using predictive power flow simulations and scenario analysis. Manage portfolio risk and make capital allocation decisions based on probabilistic forecasting an…
Build and own the portfolio optimization engine, ensuring the correctness and precision of outputs across thousands of accounts. Collaborate with Investments, Trading, and Product teams to translate investment intent in…
Lead the research and development of Transformer-based and time-series foundation models for systematic trading applications. Design and implement large-scale data pipelines and distributed training recipes to optimize…
Design and build high-performance components for systematic trading, including market data, backtesting, and execution systems. Collaborate with researchers to productionize machine learning models and ensure robust, lo…
The researcher will develop and implement systematic trading strategies by analyzing high-frequency market data and order-book dynamics. They will also build simulation machinery and collaborate with technology partners…
You will participate in the execution and risk management of systematic trading strategies while collaborating with senior traders to refine proprietary models. Additionally, you will analyze large datasets to identify…
The trader will manage systematic and discretionary index-arbitrage and equity financing strategies across major APAC markets. Responsibilities include executing ETF arbitrage, ADR-local trading, and identifying other r…
Design and operate high-throughput data pipelines and unified analytics engines for large-scale trading data. Build and maintain internal AI platforms, including RAG pipelines and agent systems, to support quantitative…
Monitor execution across various asset classes and provide first-line support for automated execution flows. Conduct project work to improve liquidity and reduce implementation costs while analyzing large datasets to re…