Job Description
We are looking for an experienced Senior Algorithmic Trading Architect / Quant Engineer, preferably with expertise in cryptocurrency markets (though forex/equities experience is also valuable).
The ideal candidate will be responsible for architecting and developing sophisticated no-code trading systems with a strong emphasis on high-performance backtesting and strategy optimization.
Tasks:
- Design and implement scalable, institutional-grade backtesting and trading infrastructure.
- Create high-performance backtesting and strategy optimization frameworks.
- Develop and maintain real-time trading platforms with sub-millisecond latency.
- Build robust simulation environments for strategy testing.
- Implement efficient data collection and processing pipelines.
Skills:
Must have:
- Proven track record in developing institutional-grade backtesting and trading platforms and infrastructure.
- Deep understanding of market mechanics, exchange operations, and market data processing (time & sales, full order book).
- Extensive experience building high-performance backtesting frameworks, optimization engines, and benchmarking systems.
- Strong expertise in implementing exchange APIs and client-server architectures for trading systems.
- Advanced proficiency in Python and relevant libraries (pandas, NumPy, SciPy, Backtrader, CCXT, etc.)
- Experience with high-frequency trading systems and low-latency optimization.
- Strong advocate of Test-Driven Development (TDD) with experience in implementing robust testing frameworks.
- Advanced Git proficiency.
- Excellent written and verbal communication skills in English.
Beneficial knowledge:
- Experience with traditional asset classes (Forex, Equities, Options).
- Knowledge of market-making and statistical arbitrage strategies.
- Familiarity with machine learning libraries (scikit-learn, TensorFlow, PyTorch).
- Experience with C++ for performance-critical components.
Qualifications:
- Bachelor’s degree in Computer Science or Computer Engineering.
- Other degrees may be considered with a proven track record in algorithmic trading.
Required Skills
tensorflow
machinelearning
dataanalysis
datascience
python
dataintegration
databasedesign
databasearchitecture
Company Profile
CoinQuant delivers seamless, smarter, no-code tools that empower traders to take full control of their journey. Our platform simplifies trading while offering advanced capabilities to test strategies, optimize performance, and refine approaches—all designed to help you maximize your potential.
Whether you’re new to trading or looking to enhance your strategies, CoinQuant provides the tools and insights to navigate opportunities with confidence and precision. Backed by a dedicated team, we help traders leverage data-driven solutions and unlock the full benefits of smarter trading.