8 days ago

Quantitative Researcher

Keyrock

Hybrid
Full Time
€150,000
Hybrid

Job Overview

Job TitleQuantitative Researcher
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary€150,000
LocationHybrid

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Job Description

About Keyrock

Founded in 2017, Keyrock is a leading digital asset market maker with 200+ team members globally, representing 42 nationalities. We trade across 80+ exchanges and run desks in market making, options, OTC, and DeFi. We’re known for our tech-first approach, Rust-based trading systems, and for actively shaping the future of digital asset markets.

The Opportunity

Keyrock is expanding its Algorithmic MM desk and is looking for a Quantitative Researcher based out of Europe (remote working possibility) to contribute to the P&L of the team. This is an exciting opportunity to leverage your passion for markets and innovative problem-solving in the fast-paced world of high-frequency systematic trading in crypto. You'll be exposed to cutting-edge trading strategies within a growing and evolving market landscape, with additional layers of complexity that create opportunities for solving technical challenges with innovative solutions.

Key Responsibilities for the Quantitative Researcher

  • Research and develop alpha-generating signals.
  • Build statistical models and ML frameworks.
  • Collaborate with developers and traders on strategy implementation.
  • Add value across the profit pipeline including alpha generation, inventory management, risk management, execution and strategy logic.

Experience, Skills & Qualifications

  • 3+ years quantitative research experience within a HFT/MFT systematic environment.
  • Advanced degree in quantitative field preferred (Mathematics, Physics, Computer Science, Engineering).
  • Python expertise with proven research track record.
  • Critical thinker and data-driven decision maker.
  • Entrepreneurial drive.
  • Experience with market-leading modelling and learning methods.
  • Experience with the high performance requirements of HFT and understanding of how systems need to adapt to compete at low latencies.
  • Experience in both traditional finance (TradFi) and cryptocurrency markets is highly desirable.
  • Elevated communication skills and fluency in English to be able to work effectively with globally distributed teams.

What Keyrock Offers

  • Competitive compensation with clear potential for upside as you grow your impact.
  • Remote-first setup with flexibility (core coverage expected for your trading region).
  • A global, collaborative and tech-driven environment.
  • Autonomy & Impact - our flat structure means you can contribute your ideas from day one and help shape the foundation that will power Keyrock’s future business.
  • Culture of Excellence - we value nimbleness, drive for success, owner mentality and collaboration.
  • Excellent benefits - Private healthcare with dental, WFA (Work from Away) policy, 25 days leave + National holidays, annual team and company-wide offsite to exciting locations.

Key skills/competency

  • Quantitative Research
  • Alpha Generation
  • Statistical Modeling
  • Machine Learning
  • High-Frequency Trading
  • Systematic Trading
  • Python Programming
  • Digital Asset Markets
  • Risk Management
  • Low Latency Systems

Tags:

Quantitative Researcher
alpha generation
statistical modeling
machine learning
inventory management
risk management
execution
strategy logic
high-frequency trading
systematic trading
digital assets
Python
data analysis
algorithms
trading systems
Rust
quantitative analysis
financial modeling
big data
low latency
distributed systems

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How to Get Hired at Keyrock

  • Research Keyrock's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their tech-first, crypto-centric environment.
  • Tailor your resume: Highlight your quantitative research experience, HFT/MFT systematic environment background, Python expertise, and any experience with digital assets or traditional finance.
  • Showcase quantitative expertise: Emphasize your track record in alpha generation, statistical modeling, machine learning, inventory management, and risk management during your application.
  • Prepare for technical interviews: Be ready to discuss your knowledge of market microstructure, algorithmic trading strategies, low-latency systems, and your problem-solving approach to complex technical challenges.
  • Demonstrate passion for crypto: Express your genuine interest in digital asset markets, high-frequency trading in crypto, and Keyrock's role in shaping the future of this evolving landscape.

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