Tokka Labs is a proprietary trading firm with a focus on close collaboration, rigorous research, and cutting-edge technology. We are market makers, searchers, and solvers for top protocols on the most popular blockchains in the world. We design and implement our own trading systems and strategies to provide liquidity in the most diverse and challenging environments. At the core of it all lies our unwavering commitment to pushing boundaries of decentralized finance and we are always on the lookout for like-minded individuals to join us on this journey.
Position Summary
We are seeking an exceptional Quantitative Researcher to join our core trading team. In this role, you won't just analyse data; you will be the architect of our predictive edge. You will participate across the full lifecycle of strategy development--from mining "alpha" in noisy datasets to building sophisticated pricing simulations that ensure we remain market-neutral and profitable in all market conditions.
Responsibilities
Develop and validate quantitative models for pricing and signal generation for both traditional and digital assets, leveraging both high-frequency and alternative datasets.
Collaborate with developers to build and maintain robust simulation and back testing frameworks to evaluate models under a range of market conditions and stress scenarios.
Design and refine statistical and machine learning models to analyse short-term liquidity dynamics, market microstructure, and potential execution outcomes.
Incorporate market structure insights to enhance the accuracy and robustness of pricing and trading models.
Work closely with traders and developers to translate research insights into actionable, production-ready strategies while ensuring models remain practical under live market conditions.
Requirements
Master's or PhD in a highly mathematical field (e.g., Physics, Statistics, Applied Math, Financial Engineering, or Computer Science).
5+ years of experience in a Quantitative Research role, preferably within a proprietary trading firm, hedge fund, or other high-frequency trading environment.
A track record of developing successful predictive models and a deep understanding of time-series analysis and statistical arbitrage.
You think in probabilities and distributions and are obsessed with reducing noise and identifying the underlying drivers of price action.
A solid foundation in Python for data analysis and modelling. Experience with Rust is a plus.
* Familiarity with equities, derivatives, or digital asset markets a plus.
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