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Quantitative Analyst / Prism



Posted on Monday, July 8, 2024
About Us

Cryptology is a full-featured next-generation asset trading platform. With us one can easily and efficiently sell, buy, exchange and invest cryptocurrency. What is special about us? Reliability. This is the most important criterion in our every-day-changing world. You can trust us. Trust us with your assets, accounts, financial plans and your future.

Job Purpose

More and more people rely on Cryptology. We are growing, improving our team, and now we are looking for an experienced Quantitative Analyst.

Duties and responsibilities

  • Data mining and analysis from different sources, development and optimization of mathematical models based on timeseries structures
  • Perform analytical research within the supervised project
  • Statistical hypotheses testing and processing ad-hoc requests
  • Visualization and interpretation of the research results
  • Assessment with internal data processing and reporting. Find anomalies and proposals for their elimination


  • BSc in STEM subjects - Maths, Statistics, Physics or Computer Science preferred
  • Proficiency in SQL and data manipulation of large data sets is a must
  • Good knowledge and deep understanding of statistical analysis, hypothesis testing, probability analysis, linear algebra
  • Familia with base ML approaches and techniques. Experience with time series analysis, feature engineering, interpolation / extrapolation, dimension reduction etc
  • Knowledge of financial markets microstructure and trading environment
  • Programming experience in Python / R /Julia. Familia with visualization tools like Tableau, MS BI, Grafana, Plotly, Shiny etc

Terms and benefits

  • Remote, full time work;
  • Competitive salary based on qualifications and experience;
  • Truly flexible schedule;
  • Paid holiday;
  • Continuous professional development

We at Cryptology stand for equal opportunities, fairness and diversity. Therefore, the selection of candidates takes place regardless of race, nationality, gender, sexual orientation, religion, age, civil and marital status, and health condition. So, evaluate only your professional knowledge and experience, and apply.

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