Delvega Capital
Singapore – India – China
About Us
We are a team of Econometricians and Computer scientists, working hard to bring efficiency to capital markets. We use the best of data science techniques and microstructure research to create automated cutting edge market making systems.
Our goal is to dominate the markets we participate in , while ensuring a smooth functioning of markets.
We apply techniques born across scientific disciplines ranging from Genetic algorithms to Machine Learning and financial econometrics to spot patterns that help us provide liquidity across markets reducing spreads and trading costs for the market participants.
Jobs
Software Developer – Singapore / India / Shanghai
Delvega is a technology-driven Proprietary trading firm that specializes in systematic alpha research and electronic market-making on various exchanges. We trade across a multitude of asset classes and trading venues with significant market share. We are looking for a Software Developer for our Core Engineering group to help us in designing our in-house low latency software stack. Delvega is an equal opportunity employer.
Requirements
- Bachelor’s or master’s degree in computer science/mathematics and related fields
- Excellent Software Development knowledge demonstrated through course work, research projects, or open source activities
- Proficiency in C++, object oriented design, GDB
- A strong understanding of data structures and algorithms
- Exposure to network programming (TCP/IP), concurrent programming (multi‐threaded applications), Operating systems concepts
- Experience with Linux/Unix
- Brilliant problem-solving abilities
- A passion for new technologies and ideas
- Strong communication skills
Responsibilities
- Designing, developing, and testing proprietary high-frequency trading platform
- Low-latency high-throughput exchange connectivity layers
- Distributed computation optimized backtesting and simulation systems capable of handling terabytes of data
- Risk systems with real-time trade management and risk analysis
- Identifying complex problems, coming up with innovative solutions, and communicating them with your team to advocate their implementation
- Collaboration with other software developers, quantitative traders, and researchers in cross-functional team environments
Quantitative Researcher – Singapore / India / Shanghai
Delvega is a technology-driven Proprietary trading firm that specializes in systematic alpha research and electronic market-making on various exchanges. We trade across a multitude of asset classes and trading venues with significant market share. We are looking to appoint an Quantitative Researcher. Delvega is an equal opportunity employer.
Requirements
- Bachelor’s or master’s degree in computer science/mathematics and related fields
- Deep experience in HF Trading
- Live HF Trading experience for at least 1-2 years.
- P&L Track record with excellent sharpe ratios.
- Taking pride in building solutions using Python, R, kdb+ or C++
- Desire to work in a small collaborative environment
- Degree from Top tier college or university a plus
- A passion for new technologies and ideas
- Strong communication skills
Responsibilities
As a Quantitative Researcher, you will be working with experienced traders and developers to research and develop new systematic HFT market making strategies leveraging our existing technology and infrastructure.
Quantitative Developer – Singapore / India / Shanghai
Delvega is a technology-driven Proprietary trading firm that specializes in systematic alpha research and electronic market-making on various exchanges. We trade across a multitude of asset classes and trading venues with significant market share. We are looking to appoint a Junior Quantitative Researcher/Trader. Delvega is an equal opportunity employer.
Requirements
- Bachelor’s or master’s degree in computer science/mathematics and related fields
- Ability to think independently and use creative approach in problem solving
- Familiarity with python, C++, R programming language
Responsibilities
You will be responsible for building and improving the models that keeps us competitive in the market. You will work alongside the traders, software developers and our engineering scientist, you would learn, research, improve, test, build our trading algorithms to increase trading profitability. A typical day involves applying rigorous scientific method, machine learning techniques to a vast array of datasets in order to create insights on how the market behaves.