Quantitative Trader at KAPPA LAB LTD
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

12 Nov, 25

Salary

0.0

Posted On

13 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, High Frequency Trading, Rust, Data Analysis, Scipy, Market Making, Analytical Skills, Numpy, Pandas, Automation, Programming Languages

Industry

Marketing/Advertising/Sales

Description

Background
Kappa Lab is a digital assets market maker committed to delivering 24/7 deep liquidity and enhancing market efficiency.
Our proprietary technology enables us to provide swift and effective solutions to our partners, while our sophisticated algorithms ensure efficient and consistent pricing across all trading venues. We fuel the Web3 ecosystem, driving innovation in pioneering projects with the professionalism and dedication of our exceptional team.
Description
As a Quantitative Trader at Kappa Lab, you will be working within a trading team, playing a pivotal role in managing and improving existing quantitative trading strategies, plus researching and prototyping new opportunities.
You will be working at the forefront of the rapidly evolving world of cryptocurrency trading. This position demands a blend of problem-solving skills, adaptability, and collaborative teamwork. If you possess a strong background in programming, excellent analytical skills, and an interest in the crypto markets, we want to hear from you!

Responsibilities

  • Managing and optimizing existing trading strategies to enhance performance, reduce risks, and adapt to market conditions.
  • Researching, developing, and prototyping new quantitative trading strategies for digital assets across centralized and decentralized exchanges.
  • Analyzing large datasets of market data, order books, and on-chain metrics to identify trading opportunities and inefficiencies.
  • Conducting backtesting, simulation, and performance analysis of strategies using historical and real-time data.
  • Monitoring live trading operations, including risk management, position sizing, and intervention during volatile market events.

Required skills

  • Strong quantitative and analytical skills.
  • Proficiency in Python, for data analysis, strategy prototyping, and automation (experience with libraries like Pandas, NumPy, and SciPy is essential).
  • Deep interest in and understanding of cryptocurrency markets, blockchain technology, DeFi protocols, and trading dynamics.
  • Ability to handle complex, high-volume datasets and derive actionable insights under time pressure.
  • Excellent problem-solving skills and a proactive mindset for identifying and mitigating risks in fast-paced environments.

Desirable skills

  • Direct experience in quantitative trading, market making, or high-frequency trading.
  • Experience with additional programming languages such as Rust and/or Cython.

Kappa Lab is an equal opportunites employer committed to creating an inclusive and diverse workplace. We welcome applications from all individuals and do not discriminate based on race, colour, nationality, ethnicity, religion or belief, sex, sexual orientation, gender identity or expression, marital status, pregnancy or maternity, disability, or age. We value and respect the unique contributions each person brings, and we strive to ensure that everyone can thrive and grow within our organization

Responsibilities
  • Managing and optimizing existing trading strategies to enhance performance, reduce risks, and adapt to market conditions.
  • Researching, developing, and prototyping new quantitative trading strategies for digital assets across centralized and decentralized exchanges.
  • Analyzing large datasets of market data, order books, and on-chain metrics to identify trading opportunities and inefficiencies.
  • Conducting backtesting, simulation, and performance analysis of strategies using historical and real-time data.
  • Monitoring live trading operations, including risk management, position sizing, and intervention during volatile market events
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