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BlockTech

Decentralized proof-of-assets liquidity for derivatives trading

Junior Quantitative Researcher - Crypto Delta One

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listed

About the Job

Requirements

  • A strong academic background in a quantitative discipline such as mathematics, physics, statistics, computer science, econometrics, or machine learning/artificial intelligence, typically a PhD or MSc with strong research experience.
  • Fluency in Python and the modern machine learning stack, including PyTorch and/or TensorFlow, scikit-learn, NumPy, and pandas.
  • A deep, intuitive grasp of overfitting, generalization, validation design, and feature engineering, and the ability to explain why a model works.
  • Solid software engineering instincts, including writing code that others can read, test, and run in production.
  • Genuine curiosity about financial markets and market microstructure.
  • Clear written and spoken English, and the ability to explain complex ideas to the team.

Responsibilities

  • Take ideas from hypothesis and dataset construction through feature engineering, model training, and backtesting to live deployment and iteration.
  • Work closely with other researchers to translate research insights into systematic trading strategies.
  • Design, develop, and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using modern artificial intelligence and machine learning techniques.
  • Build trading, backtesting, and research infrastructure alongside engineers so promising ideas reach production quickly and safely.
  • Monitor live performance, diagnose model decay, and iterate on models in production.

Desired Qualifications

  • Hands-on experience building and deploying machine learning models, ideally for time-series, forecasting, or anomaly-detection problems.
  • Familiarity with crypto markets, derivatives pricing, or high-frequency trading data.

About the Company

BlockTech

Decentralized proof-of-assets liquidity for derivatives trading

BlockTech speeds up the move toward decentralized proofs of asset ownership and connects liquidity for derivatives trading. It uses advanced software, mathematical models, and a global network to verify asset proofs and execute trades quickly and precisely. This approach aims to provide more trustworthy liquidity than traditional centralized providers by decentralizing asset verification. Its goal is to accelerate decentralized asset proofs and improve speed, reliability, and transparency in derivatives markets.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Amsterdam, Netherlands
Founded
2017

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