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Quantitative Trader

Altonomy is a trading, advisory and asset management firm specializing in cryptocurrency and digital assets

(more about Altonomy)

Quantitative Trader

Tokka Labs | Singapore, SG

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! 


Job Responsibilities

  • Responsible for managing electronic market making production system and strategies in real time
  • Research, develop, test, and deploy novel order execution models to increase trading efficiency
  • Provide prototype solutions to existing strategies, and work through production implementations along with other teams (trading, MO, IT etc.).
  • Perform core mathematical model development and the model implementation in Python, R or C++
  • Please note:This role requires some coverage of live trading.


Qualifications / Experiences

  • M.S or Ph.D. degree in Math, Statistics, Physics or related field
  • 3 to 6 years quantitative experience working electronic liquidity providing or execution algorithm in a production environment
  • Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems
  • Ability to write and implement statistical ideas in Python, R, C++, or related program


Skills / Abilities

  • Ability to work independently on long-term technical problems
  • Comfort working within a collaborative, team-oriented environment
  • Strategic thinking and strong analytical problem-solving skills
  • The ideal candidate should be highly motivated and have the highest level of integrity
  • Hard-working and eager to learn in a highly intellectual, innovative environment