Quantitative Software Engineer

  • New York
  • Dv Trading
About Us : Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 350 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 Energy 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 Energy to grow into one of the largest financial participants within the global energy complex.

Overview:

We are looking for an experienced software developer to work with a small team responsible for development of pricing, execution and risk management of an event based trading and market data system. This effort is part of a greenfield project and the suitable candidate will be involved in the development of the overall trading system.

Responsibilities: Lead in the design, implementation, and deployment of DV Energy's core C++ trading platform Work directly with trading desks on new feature requests, pricing and execution algos Bring deep technical knowledge such as parallel programming, trading systems, networking, or performance analysis Work on cross-functional teams across trading, quant, and development to troubleshoot and solve complex problems Building high-performance components for simulation and live trading Requirements:

Bachelor's degree or higher in CS, Engineering or other technical discipline 3+ years professional experience developing infrastructure for quantitative trading Demonstrated strong ability to program in a scientific computing environment (python/numpy/pandas) Experience developing high-performance, multi-threaded applications using C++. Strong knowledge of algorithms, design patterns, OOP, threading, multiprocessing, etc Experience with SQL, NoSQL or tick databases Experience working in a Unix environment and git Experience working with distributed systems and large data sets Strong communication skills in verbal and written English. Domain knowledge in futures & swaps is a plus

Annual compensation range $135-150K base + discretionary bonus

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