Quant Researcher: Crypto HFT & Market Making (Hybrid)

Logoslabs

San Francisco (CA)

Sur place

USD 133 000 - 240 000

Plein temps

Il y a 10 jours

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Avantages offerts par ce poste

London office
Table tennis
Foosball
Free food
Team meals
Relocation assistance

Résumé du poste

Wintermute is a leading crypto-native algorithmic trading company with a global footprint and a London-centric office. We seek a Quantitative Researcher with strong modelling and coding skills (Python) to scale our quantitative business across CeFi and DeFi, covering spot, derivatives, and ETPs.

You will collaborate with researchers, traders, and developers to build trading strategies with significant independence and impact.

Qualifications

  • Quantitative degree required in a relevant field.
  • Experience in market making or high-frequency trading.
  • Advanced Python coding skills; C++ is a plus.
  • Strong knowledge of statistics and ML theory.

Responsabilités

  • Design and implement predictive quantitative trading strategies and market making.
  • Apply statistical methods to develop short-term signals with ms-to-min horizon.
  • Lead research to improve signals and optimise parameters across products and tech.
  • Analyze tick-level data across markets to identify microstructure patterns.
  • Run simulations and model markets for liquid and illiquid assets.
  • Maintain and improve Python or C++ infrastructure.

Connaissances

Python
C++
Market making
HFT
Statistics & ML

Formation

Quantitative degree in Mathematics/Statistics/CS/Physics or related

Outils

Python
C++
Backtesting

Description du poste

Wintermute is a leading crypto-native algorithmic trading company with a global footprint and a London-centric office. We seek a Quantitative Researcher with strong modelling and coding skills (Python) to scale our quantitative business across CeFi and DeFi, covering spot, derivatives, and ETPs.

You will collaborate with researchers, traders, and developers to build trading strategies with significant independence and impact.

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