SiftingIO
Mathematician
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Company Description:
SiftingIO is a market data platform providing real-time and historical data across stocks, FX, crypto, commodities, decentralized exchanges, and on-chain markets. The platform delivers this data through high-performance REST and WebSocket APIs designed for developers, quants, and data-driven organizations.
SiftingIO focuses on reliability, low-latency access, and comprehensive coverage to support trading, analytics, and research workflows. Team members collaborate in a technology-forward environment, building scalable data infrastructure and tools that power modern financial applications.
Role Description:
This is a full-time REMOTE role for a Mathematician at SiftingIO. The Mathematician will develop and refine mathematical models for market data analysis, pricing, and risk metrics across multiple asset classes. Daily work includes:
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- Exploring large datasets
- Designing algorithms
- Validating assumptions
- Collaborating with engineers to translate models into production-ready solutions
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The role involves researching new quantitative methods, documenting findings and methodologies, and contributing to internal tools and libraries that enhance data quality and analytical capabilities. The Mathematician will work closely with product and engineering teams to ensure that quantitative insights directly improve platform features and client-facing analytics.
Qualifications
- Strong foundation in Mathematics and Applied Mathematics, with the ability to design and analyze quantitative models.
- Experience in Physics or related quantitative sciences that support modeling complex, dynamic systems.
- Demonstrated Analytical Skills for working with large datasets, identifying patterns, and testing hypotheses.
- Background in Computer Science or computational methods for implementing algorithms and working with APIs or data pipelines.
- Advanced degree (Master’s or PhD) in Mathematics, Applied Mathematics, Physics, Computer Science, or a related quantitative field is preferred.
- Proficiency in at least one programming language commonly used in quantitative work (such as Python).
- Familiarity with financial markets, trading strategies, or quantitative finance is an asset.
- Ability to communicate complex mathematical concepts clearly to technical and non-technical stakeholders and to collaborate effectively in a remote environment.
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