The future of Web3 starts with you: join us as a Quantitative Researcher!

Requirements

Education & Experience:

— Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related STEM field

— 4+ years of experience in a quantitative research or analyst role (financial institutions, hedge funds, prop trading, or asset management preferred).

Core Technical Skills:

— Strong foundation in probability, statistics, time-series analysis, and optimization.

— Experience with market data (order books, tick-level data) and trading data processing.

— Solid understanding of trading infrastructure and market microstructure; experience with DEX/CEX and derivatives trading is advantageous.

— Familiarity with machine learning techniques and their application to financial problems.

— Experience with Python (NumPy, pandas, scikit-learn, PyTorch).

— Experience with C++ for performance-critical systems is a plus

Quantitative & Trading Systems Knowledge:

— Experience in building algorithmic trading systems or financial applications

— Understanding of market microstructure and trading products (spot, futures, swaps)

— Strong ability to reason through quantitative problems and collaborate with researchers to implement models

— Familiarity with low-latency, high-frequency trading (HFT) systems is a plus

Problem-Solving & Analytical Skills:

— Strong analytical and problem-solving skills, with a commitment to testing and quality assurance

— Track record of independently solving complex technical challenges with real industry impact

— Strong ability to debug, profile, and optimize performance in production systems

— Experience with automated testing, continuous integration, and deployment processes

Mindset & Soft Skills:

— Passion for technology, problem-solving, and continuous learning

— Intellectual curiosity and a strong drive to grow within the quantitative finance industry

— Team player, with strong communication skills and a collaborative attitude

— Reliable and predictable availability to ensure smooth operation of production trading systems

Responsibilities

— Strategy Development: Design, back-test, and implement quantitative trading strategies using statistical models, machine learning, and data-driven techniques.

— Signal Research: Analyze large-scale datasets (tick-level, order book, on-chain, macroeconomic data) to extract predictive signals and identify alpha opportunities.

— Risk Management: Contribute to building robust risk frameworks and parameter tuning processes.

— Execution & Integration: Work alongside developers to integrate models into low-latency trading systems and ensure agile deployment.

— Portfolio Analytics: Perform post-trade analysis, PnL attribution, and systematic portfolio optimization.

— Product Innovation: Participate in all stages of new product development - including concept generation, modeling, and real-time validation.

Work conditions

Immerse yourself in Crypto & Web3:

— Master cutting-edge technologies and become an expert in the most innovative industry.

Work with the Fintech of the Future:

— Develop your skills in digital finance and shape the global market.

Take Your Professionalism to the Next Level:

— Gain unique experience and be part of global transformations.

Drive Innovations:

— Influence the industry and contribute to groundbreaking solutions.

Join a Strong Team:

— Collaborate with top experts worldwide and grow alongside the best.

Work-Life Balance & Well-being:

— Modern equipment.

— Comfortable working conditions, and an inspiring environment to help you thrive.

— 24 calendar days of paid leave.

— Health Insurance.

— Additional days off for national holidays.