Quantitative Researcher

Join to apply for the
Quantitative Researcher
role at
Tokka Labs
Join to apply for the
Quantitative Researcher
role at
Tokka Labs
Tokka Labs | Singapore
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 | Singapore
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
Position Summary
We are seeking a talented Quantitative Researcher with a passion for solving complex optimization problems. This role is part of our specialized research team, working on challenging projects at the intersection of applied mathematics, algorithm development, and on-chain trading. The ideal candidate will have a strong background in optimization, applied mathematics, and computational problem-solving.
Job Responsibilities
Develop and implement optimization algorithms tailored to real-time trading applications.
Analyze and utilize on-chain trading data to design efficient and scalable solutions.
Collaborate closely with trading teams to understand business requirements and deliver impactful insights.
Research and apply mathematical techniques to solve novel problems in a high-frequency trading environment.
Communicate findings and provide actionable recommendations to technical and non-technical stakeholders.
Job Requirements
A PhD in Applied Mathematics, Operations Research, Computer Science, or a related field.
Expertise in solving optimization problems, including pathfinding, resource allocation, or similar.
Strong programming skills in Python and R.
Experience working with large datasets and developing efficient computational algorithms.
Familiarity with blockchain or decentralized finance (DeFi) is a plus but not required.
Preferred Skills
Knowledge of convex optimization, numerical methods, and algorithmic development.
Familiarity with trading systems, financial engineering, or related domains.
Excellent problem-solving skills with attention to detail and a results-oriented mindset.
Ability to work in a fast-paced, collaborative environment and manage multiple priorities.
Seniority level
Seniority level Entry level
Employment type
Employment type Full-time
Job function
Job function Finance and Sales
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