Our client is a leading digital asset management firm that offers a suite of innovative investment products focused on the cryptocurrency and digital asset markets. With a flagship liquid quantitative crypto fund, our client also provides complementary strategies spanning primary and multi-strategy mandates. Their mission is encapsulated in their motto, "We Forge Asymmetry, Dislocations, Edge," reflecting their commitment to capturing consistent returns in volatile crypto markets through institutional-grade risk management practices. Our client serves a growing number of assets and institutions, positioning itself at the forefront of quantitative and strategic investment in the digital asset space.
Our client is seeking a highly skilled Quant Engineer/Developer to join their innovative team. This role requires a full-stack programmer with a strong quantitative background, capable of designing, developing, and maintaining sophisticated trading systems. The ideal candidate will have expertise in Python, SQL databases, and real-time data processing, with a focus on integrating with cryptocurrency exchanges like Binance for data visualization and order execution. This position demands a proactive individual who can implement robust risk control mechanisms and contribute to the optimization of our client’s trading infrastructure, aligning with their emphasis on risk-optimized strategies.
Key Responsibilities
- System Development: Design and develop full-stack solutions for quantitative trading systems, ensuring scalability, reliability, and performance in the fast-paced crypto market environment.
- Data Integration: Connect to Binance read-only API to fetch real-time market data and create visualization panels using Grafana for internal monitoring and decision-making.
- Real-Time Processing: Implement real-time WebSocket connections to obtain market data and execute trading orders with minimal latency, supporting our client’s dynamic trading strategies.
- Risk Management: Develop and integrate risk control mechanisms into the trading server to mitigate potential losses, aligning with our client’s institutional-grade risk management practices.
- Database Management: Utilize Python and SQL to manage and optimize databases for storing and retrieving trading data efficiently.
- Collaboration: Work closely with quantitative analysts, traders, and other engineers to refine trading algorithms and improve system functionalities, contributing to our client’s goal of capturing consistent returns.
Required Skills and Qualifications
- Programming Expertise:
- Strong proficiency in Python for scripting, data analysis, and system development.
- Experience with SQL databases for data storage, querying, and optimization.
- Full-Stack Development: Proven ability to handle both front-end and back-end development tasks, with a focus on building robust server-side applications.
- API Integration: Hands-on experience connecting to cryptocurrency exchange APIs (e.g., Binance) for read-only data access and order placement.
- Real-Time Systems: Familiarity with WebSocket technology for real-time data streaming and order execution.
- Visualization Tools: Knowledge of Grafana or similar tools for creating dashboards and visualizing trading metrics.
- Risk Control: Understanding of risk management principles in trading systems, with the ability to implement safeguards at the server level, mirroring our client’s risk-optimized approach.
- Quantitative Background: Preferably a degree in quantitative finance, computer science, engineering, mathematics, or a related field, with a solid grasp of financial markets and trading concepts, particularly in digital assets.
- Problem-Solving: Strong analytical skills and the ability to tackle complex technical challenges in a fast-paced environment.
Preferred Qualifications
- Experience in cryptocurrency trading or working with digital asset platforms, aligning with our client’s core focus.
- Familiarity with cloud-based infrastructure and deployment of trading systems.
- Knowledge of additional programming languages or frameworks that enhance full-stack capabilities.
- Prior experience in a quantitative trading or financial technology role, especially within the crypto space.