About the company
Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 450 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. DV Commodities is a rapidly growing division that specializes in trading crude oil, refined products, natural gas, and related energy markets across US, Europe, and Asia. Our proprietary risk management and trading methodologies along with a strong ability to adapt to changing conditions has allowed DV Commodities to grow into one of the largest financial participants within the global energy complex.
Job Summary
Overview:
šAs a Quantitative Researcher, you will work with a team to develop a variety of signals, AI/ML models, and quant strategies for trading financial markets. You will be responsible for the design and implementation of various components of our research and innovation system, and you will evaluate their effectiveness by using accurate statistical methods. As part of a small team with exposure to multiple areas of research, you will have the opportunity to rapidly grow your knowledge of quantitative investing and proprietary trading.
Requirements:
šAn advanced degree in Mathematics, Statistics, Economics, Finance or a related field (MSc or PhD) šExperience and knowledge of AI/ML and LLM models and technologies with application to Finance and Trading šProgramming proficiency in Python, SQL and C++ šExperience with derivative pricing, portfolio optimization, and quant investing šExceptional mathematical, analytical, and problem-solving ability šExperience solving data-intensive problems is a plus šDemonstrated ability to complete statistical or applied mathematical research is a plus šPrior experience in a quantitative role within a trading environment is a plus šSelf-motivated and highly productive with a strong sense of urgency and accountability šOpen to relocation to The Bahamas
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