Quantitative Researcher

Altonomy; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

Une entreprise de trading à Singapour, Altonomy, recherche un Quantitative Researcher passionné par la résolution de problèmes complexes. Le candidat travaillera sur des défis à l'intersection des mathématiques appliquées, du développement d'algorithmes et du trading on-chain, contribuant à des projets d'optimisation en temps réel.

Qualifications

• PhD requis en Mathématiques Appliquées, Recherche Opérationnelle ou Informatique.
• Expertise en résolution de problèmes d'optimisation.
• Expérience avec des ensembles de données volumineux.

Responsibilities

• Développer et mettre en œuvre des algorithmes d'optimisation pour le trading.
• Analyser les données de trading on-chain et concevoir des solutions scalables.
• Collaborer avec les équipes de trading pour des exigences business.

Skills

Optimization

Problem Solving

Programming in Python

Programming in R

Education

PhD in Applied Mathematics

PhD in Operations Research

PhD in Computer Science

Job description

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.