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Lead the UX design of IMC’s trading platform, collaborating with traders and engineers to create fast, intuitive interfaces for real-time market analysis and decision-making.
Build high-performance trading systems and analytical tools in Python for internal use, collaborating closely with traders and researchers to develop scalable applications and data-driven solutions.
Lead the design and development of high-performance trading tools that traders use daily to make fast, data-driven decisions and execute trades efficiently.
Design and verify custom ASICs for ultra-low-latency trading systems using SystemVerilog, C++, and Python, collaborating with hardware, software, and trading teams.
Research and implement ML models for global trading strategies, deploying solutions in equities, futures, and options markets using Python and frameworks like PyTorch.
Research and implement ML models for global trading strategies in equities, futures, and options markets using Python and PyTorch.
Research intern in Amsterdam and London building ML models to analyze market data and inform trading strategies for a global quantitative firm.
Build and maintain a full-stack trading system for power and gas markets in C++, collaborating with traders to deploy real-time strategies and exchange connectivity.
Build and maintain real-time trading systems, pricing engines, and exchange connectivity for a new energy trading venture in Aarhus using C++/Java.
Hardware Engineer Intern contributing to FPGA development and hardware improvements at a global trading firm, using VHDL/Verilog and collaborating with trading and tech teams.
Analyze global economic events and market trends to inform trading strategies during a 9-week internship in Amsterdam.
Build and optimize trading algorithms in C++/Java while learning low-latency systems and data structures at a global proprietary trading firm.
Analyze equity options and market-moving events to guide trading decisions, collaborating with traders and senior management to assess risks and opportunities in sectors like tech, healthcare, and energy.
Lead institutional sales and counterparty strategy for a global trading firm, optimizing liquidity flows and trading performance through direct relationships and data-driven workflow improvements.
Build and optimize trading-strategy systems in Java/Python, working with engineers and traders to implement pricing, risk logic, and financial-product tools for high-frequency trading.
Machine Learning Research Intern developing and applying ML algorithms and predictive models to large-scale datasets for global trading strategies, using Python, PyTorch, TensorFlow, or JAX.
Build and maintain scalable cloud security systems in C/C++, Go, or Python, collaborating with cross-functional teams to design high-performance, reliable infrastructure for Tenable’s exposure management platform.
Investment Analyst focused on M&A transactions in onshore wind/renewable energy, handling financial modeling, due diligence, market research, and investment committee preparations.
Research intern builds AI-driven prediction-market trading strategies for financial, sports, and crypto events using Python and market data.
Summer internship role supporting AQR’s Product Specialist team, analyzing portfolio performance, creating client-ready materials, and bridging investment research with business development using Python and quantitative skills.
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