Post-Graduate Quant Research Intern

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. If you think you have what it takes apply now!

Tokka Labs is seeking a Graduate Quantitative Research Intern with a strong background in applied this role you will tackle large scale computational problems subject to low latency requirements bridging the gap between optimization theory and high-performance execution.

• Algorithm Development: Design test and refine pathfinding algorithms to improve execution speed routing reliability and overall solution quality.
• Mathematical Analysis: Provide rigorous analytical evaluations of optimization methods and models including formal proofs of convergence rates and computational complexity.
• Benchmarking & Backtesting: Build backtesting frameworks and internal dashboards to compare proprietary methods against industry benchmarks.
• Production Integration: Collaborate directly with quantitative developers and systems engineers to translate research prototypes into low-latency scalable implementations.
• Advanced Research: Explore novel graph challenges (e.g. nonlinear and noisy edge costs) to ensure system flexibility and robustness.
• Ad-Hoc Initiatives: Fulfil other research duties and project responsibilities assigned by the team as needed.

• Academic Background: Currently pursuing a Masters or PhD in Applied Mathematics Electrical Engineering Computer Science Physics or a related quantitative field.
• Domain Expertise: Strong theoretical grounding in numerical analysis real analysis numerical optimization probability graph theory numerical linear algebra signal processing.
• Technical Proficiency: Hands-on experience coding algorithms in Python C or Rust alongside familiarity with optimization libraries or solvers (e.g. SciPy NetworkX Gurobi OR-Tools).
• Analytical Mindset: Proven ability to dissect complex theoretical problems quantify time-space complexity trade-offs and communicate technical concepts clearly.

Tokka Labs does not accept unsolicited resumes.

Any form of candidate introduction shared without the prior approval of the talent acquisition team will be deemed free to contact by Tokka Labs without restriction or liability. No placement fee of any kind will be paid in the event the identified candidate is hired by Tokka Labs.