Data Science and Quantitative Modeling Engineer

1 miesiąc temu

Wrocław, Województwo dolnośląskie, Polska goLance Pełny etat

Metaversal is a pioneering company in the Web3 ecosystem, dedicated to acquiring, producing, and curating unique intellectual properties across the NFT landscape. As a leader in this field, we are pushing the boundaries of innovation while fueling the growth of emerging brands and businesses.

We are seeking an exceptional Data Science and Quantitative Modeling Engineer to play a pivotal role in designing, implementing, and optimizing our cutting-edge financial technology infrastructure for Metaversal Asset Management. This position requires a unique blend of quantitative finance expertise, software engineering skills, and leadership abilities.

You will be at the forefront of developing and refining high-performance systems for Metaversal asset management. Your work will directly impact core components, advanced algorithms, and strategic modules, ensuring our systems remain at the forefront of financial technology.

In this role, you will be challenged to create ultra-low latency, highly scalable systems that can adapt to diverse market conditions while maintaining robustness and reliability. Your expertise will be crucial in developing and fine-tuning complex quantitative models, optimizing execution algorithms, and ensuring seamless integration across multiple exchanges and asset classes. This position offers the opportunity to work on intricate problems at the intersection of finance, mathematics, and computer science, directly impacting the performance and profitability of our operations.

Key Responsibilities:

  • Lead the development and optimization of core trading engine components, ensuring ultra-low latency and high reliability.
  • Design and implement sophisticated trading strategies, including market making, cross-venue arbitrage, statistical arbitrage, and volatility arbitrage.
  • Develop and maintain critical infrastructure for market data processing, risk management, and backtesting environments.
  • Coordinate with cross-functional teams to integrate various system components, including data management, monitoring, and reporting systems.
  • Contribute to the research and implementation of machine learning models for market prediction and strategy optimization.
  • Oversee the development of external APIs and ensure compliance with regulatory requirements.
  • Collaborate with DevOps to establish and maintain high-availability, low-latency infrastructure across multiple data centers.
  • Mentor junior developers/external developers and foster a culture of software engineering excellence within the team.

Requirements:

  • Bachelor's degree in Computer Science, Applied Mathematics, Statistics, Electrical Engineering, or a related quantitative field.
  • 5+ years of professional software development experience, with at least 3 years focused on quantitative finance or algorithmic trading.
  • Expert-level proficiency in C++ or Rust, and strong skills in Python.
  • Commercial experience in financial or capital markets, preferably in cryptocurrencies and derivatives.
  • Experience with high-performance, low-latency systems and optimization techniques.
  • Strong background in statistical analysis, machine learning, and data science.
  • Experience with blockchain technologies and decentralized finance (DeFi) protocols.
  • Familiarity with modern software development practices, including version control (Git), CI/CD, and containerization (Docker).
  • Familiarity with market microstructure and order book dynamics.
  • Knowledge of distributed systems and high-availability architectures.
  • Excellent problem-solving skills and ability to work on complex, open-ended projects.
  • Experience with time-series databases and big data technologies.
  • Strong communication skills and ability to collaborate effectively in a fast-paced environment.

Payscale: $120,000 - $180,000 per annum

Benefits:

  • Paid federal holidays
  • Generous vacation policy
  • Paid parental leave
  • 401k and FSA
  • Stock options and Profit share
  • Performance incentive vouchers for wellness, home tech, and getaways
  • Continued education opportunities
  • Paid family medical leave
  • Fully remote work option
  • Join a supportive and collaborative team
  • An annual trip to the US to visit our Head Office

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