Quantitative Developer at Bitunix exchange

Full Time 2 hours ago

Employment Information

Industry Development

Job level Entry Level

Salary $5,000 - $8,000 /hour

Experience 6 Year

Job type Full Time

Location remote, Remote

Job Description:

This role involves leading the development of solutions to overcome complex anti-crawling mechanisms, maintaining large-scale distributed crawling systems, and ensuring stable data supply for core business needs. The candidate will work closely with the team to translate business requirements into efficient technical solutions, collaborating with product, design, and front-end teams to ensure high-quality deliverables.

Key Responsibilities:

Lead the development and maintenance of distributed crawling systems to ensure stable data acquisition.
Deeply understand quantitative trading logic and collaborate with the team to implement technical solutions.
Work closely with product, design, and front-end teams to deliver high-quality solutions.
Analyze and reverse-engineer JavaScript code to bypass anti-crawling mechanisms.
Design and optimize database structures for efficient data storage and retrieval.

Job Requirements:

Solid Engineering Skills:
- 3+ years of Python development experience with strong computer science fundamentals (data structures, algorithms, networking, OS).
- Deep understanding of Python internals (GIL, memory management) and proficiency in concurrency models (processes, threads, coroutines).
- Experience with FastAPI, Django, MySQL, Redis, and database optimization.
- Proficiency in Docker and familiarity with Kubernetes for deployment.
Crawling & Reverse Engineering:
- 2+ years of experience in large-scale data scraping using Scrapy, Playwright, etc.
- Strong JS reverse-engineering skills to debug and deobfuscate code, with knowledge of encryption algorithms (RSA, AES, DES).
- Expertise in bypassing anti-crawling measures (CAPTCHAs, IP bans, request signing, behavioral detection).
- Experience in data cleaning (missing/abnormal values) and storage design (SQL/NoSQL/time-series databases).
Preferred Qualifications:
- Experience in live trading and understanding market trends.
- Knowledge of ML/DL applications in trading (K-line pattern recognition, robo-advisors, smart strategies).
- Familiarity with financial markets (cryptocurrency, futures, stocks).
- Strong product design thinking.
- Experience in AI-driven automation.
- Proficiency in Golang.

Benefits:

Year-end bonuses, medical subsidies, holiday allowances, paid leave, and more.

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AI Job Analysis

Intelligent Job Recommendations Based on Deep Learning

Ready for Analysis

Analyze Job Core Requirements

This role requires a highly skilled quantitative developer with expertise in both distributed crawling systems and quantitative trading. The candidate must possess strong engineering skills, deep Python knowledge, and experience in reverse engineering and data scraping.

3+ years of Python development with strong fundamentals in data structures, algorithms, and networking.
Deep understanding of Python internals (GIL, memory management) and concurrency models.
2+ years of experience in large-scale data scraping and JS reverse-engineering.
Proficiency in bypassing anti-crawling mechanisms and optimizing database structures.
Preferred qualifications include knowledge of financial markets and ML/DL applications in trading.

Understand Employer Recruitment Intent

Bitunix, as a cryptocurrency exchange, is likely seeking a Quantitative Developer to enhance their data acquisition and analysis capabilities, crucial for trading strategies and market insights. The emphasis on distributed crawling systems and reverse engineering suggests a need for real-time, high-quality data to stay competitive in the fast-paced crypto market. The role's requirements indicate Bitunix aims to integrate advanced technical solutions with their trading operations, possibly to develop proprietary tools or improve existing systems. The preference for candidates with financial market knowledge and ML/DL expertise highlights their focus on data-driven trading strategies.

MyJob Interviewer Says

As an interviewer, I would prioritize candidates who demonstrate not only technical proficiency in Python and crawling systems but also a deep understanding of quantitative trading logic. Practical experience in bypassing anti-crawling measures and optimizing databases is crucial. Additionally, I would look for problem-solving skills and the ability to collaborate with cross-functional teams. Candidates with prior exposure to financial markets or ML/DL applications would stand out, as they can contribute more immediately to Bitunix's trading strategies.

AI Matching Suggestions

To align your application with Bitunix's needs, focus on showcasing your technical expertise and relevant experience. Here are specific suggestions:

Highlight your Python development experience, especially with FastAPI, Django, and database optimization.
Detail your projects involving large-scale data scraping and JS reverse-engineering, emphasizing any anti-crawling solutions you implemented.
Demonstrate your understanding of quantitative trading and financial markets, if applicable.
Include any experience with ML/DL in trading, such as K-line pattern recognition or smart strategies.
Mention your familiarity with Docker and Kubernetes, as these are key for deployment in distributed systems.