MFT Quant Researcher: Crypto Alpha Signals

Wintermute

Greater London

Hybrid

GBP 90,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Performance-based compensation
Pension plan
Private health insurance
Office amenities (table tennis, foosball)
Team building events

Job summary

A leading crypto trading firm based in central London is seeking an experienced quantitative researcher to develop mid-frequency trading strategies. The successful candidate will analyze market data, design predictive models, and collaborate with multiple teams to optimize performance. You will leverage advanced trading infrastructure and a vibrant team culture, enjoying significant flexibility in working hours. This role offers the potential for high earnings and growth in one of the industry's most dynamic environments.

Qualifications

  • Experience developing and deploying mid-frequency trading strategies with production performance.
  • Strong background in Mathematics, Physics, Computer Science, or Engineering.
  • Advanced Python skills with familiarity in C++.

Responsibilities

  • Develop and deploy mid-frequency quantitative trading strategies.
  • Design predictive models for digital assets.
  • Analyze market data for alpha signals and patterns.
  • Perform backtesting and simulation of strategies.
  • Collaborate with developers on performance optimization.

Skills

Experience developing MFT strategies
Strong quantitative background
Advanced Python coding skills
Collaborative mindset

Job description

A leading crypto trading firm based in central London is seeking an experienced quantitative researcher to develop mid-frequency trading strategies. The successful candidate will analyze market data, design predictive models, and collaborate with multiple teams to optimize performance. You will leverage advanced trading infrastructure and a vibrant team culture, enjoying significant flexibility in working hours. This role offers the potential for high earnings and growth in one of the industry's most dynamic environments.
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