Full-Time
Quantitative Software Engineer
Confirmed live in the last 24 hours
Provides liquidity and hedging in financial markets
Venture Capital
Mid
New York, NY, USA
Required Skills
Python
NoSQL
Git
Data Structures & Algorithms
SQL
Pandas
NumPy
Linux/Unix
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
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
DV Trading is a North American-based proprietary trading firm that provides liquidity to worldwide financial markets and hedging opportunities to commodity producers and users.
Company Stage
N/A
Total Funding
N/A
Headquarters
Chicago, Illinois
Founded
2006
Growth & Insights
Headcount