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The Algo Quant/Developer will develop in-house trading strategies, conduct quantitative research to improve trading algorithms, collaborate with teams to implement trading solutions, and maintain portfolio trading in a production environment.
As a Quantitative Software Engineer, you will design, implement, and deploy DV Energy's core trading platform. Collaborate with trading desks on feature requests and algorithms, utilize strong programming skills to build components for simulation and live trading, and troubleshoot complex problems in a cross-functional team environment.
The FPGA Engineer will write, test, debug, and deploy new FPGA trading strategies for futures exchanges. Responsibilities include managing deployments, creating test frameworks, analyzing performance, interfacing with traders, and addressing other management tasks.
Improve real-time volatility fitting and options pricing models, develop advanced pricing models and risk management strategies for commodities, implement models in quant library and trading platforms, enhance risk management platform, work closely with trading, risk, and technology teams.
As a Senior Systems Engineer at DV, you will support the Chicago office's IT operations, maintain data centers, and design Windows Server, Desktop environments, and virtualization infrastructure. You will leverage automation, collaborate with the Security team, conduct performance tuning, and mentor junior staff, all while implementing best practices in system security and monitoring.
The Java GUI Developer will be responsible for designing, implementing, and deploying trading systems and supporting applications. They will work on cross-functional teams and collaborate with others to troubleshoot and solve complex problems. They will also integrate and certify with exchanges and other third parties and optimize performance for latency and throughput.
Lead in the design, implementation, and deployment of DV’s core trading platform using C++. Work on cross-functional teams to troubleshoot and solve complex problems. Collaborate with trading desks on new feature requests.
Design, develop, and maintain robust reference data systems to support trading operations. Work closely with cross-functional teams to ensure the accuracy, efficiency, and reliability of reference data. Implement monitoring and testing processes. Interact with vendors.
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