Kronos Research

Machine Learning Researcher

Kronos Research  •  Singapore, SG (Onsite)  •  4 months ago
Apply
Save Job
Mark Applied Mark Interviewed Mark Offered
Hide Job Report Job
AI can make mistakes so check important info. Chat history is never stored.

Job Description

We are seeking an experienced Machine Learning Researcher to join our research team. This role requires expertise in designing and deploying deep learning models within high-performance, low-latency trading systems. You will be working on developing robust, scalable models and integrating them into our trading infrastructure.

Responsibilities

  • Data Analysis & Preprocessing: Understand and preprocess orderbook data.
  • Deep Learning Model Design: Design models for time-series and orderbook data (Transformers, RNNs, CNNs, Attention).
  • Scalable Training Implementation: Implement parallelized data loading pipelines.
  • Feature Engineering: Develop and optimize orderbook features using C++.
  • Backtesting & Evaluation: Conduct rigorous backtesting across markets.
  • Production Integration: Deploy models into real-time, low-latency systems.

Requirements

  • Background in machine learning or quantitative research, preferably related to financial markets.
  • Experience deploying ML models in real-time, low latency environments is a plus.
  • Familiarity with optimizing model latency and inference speed(e.g., KV caching, quantization, pruning) is advantageous.
  • Open to both experience candidates and highly motivated fresh graduated.

Technical Skills

  • Deep Learning Architectures: Transformers, RNNs, CNNs, Attention mechanisms.
  • Programming Languages: Python, C++, Jax/PyTorch
  • Model Optimization: Optimizing models for high-performance trading systems.

Analytical & Communication Skills

  • Strong mathematical and statistical background (probability theory, linear algebra, calculus).
  • Ability to articulate complex technical concepts.

Motivation & Learning

  • Passion for applying machine learning to quantitative finance.
  • Drive to continuously improve models.
Kronos Research

About Kronos Research

Kronos Research stands at the forefront of proprietary trading, elevating trading performance through its profound expertise in quantitative research. Driven by a fusion of rigorous research methodologies and advanced machine-learning techniques, we are revolutionizing the way trading is approached. 

We have 4 main business pillars, i.e. (i) High-Frequency Trading (HFT), particularly in the dynamic landscape of cryptocurrency trading, (ii) market-making, providing the best liquidity across CeFi and DeFi solutions, (iii) asset management services for institutions and brokers covering a wide range of asset classes, and (iv) ventures, identifying high growth potential projects to invest in, provide expertise and drive returns.

▸ Our Achievement

Under the leadership of senior executives with backgrounds in Wall Street finance and top global high-frequency trading firms, Kronos Research has become a world-leading cryptocurrency trading team, achieving an average daily trading volume of $5 billion and a peak single-day trading volume of $23 billion. Starting from Taiwan, we have expanded globally, with employees from Singapore, the United States, Romania, Shanghai, and other locations.

▸ Principle

I. Meritocracy - We value the best ideas and outcomes.

II. Urgency - We seize fleeting opportunities.

III. Team - We value each other’s effort.

IV. Integrity - We act with integrity at every turn.

VI. Innovation - We encourage ideas and challenge past assumptions.

Kronos values and encourages each team member to create their own value. We foster an open corporate culture, and a flat organizational structure, and offer competitive compensation, hoping to attract more outstanding talent to join us in building a diverse and rich ecosystem for quantitative trading.

Industry
IT & Software
Company Size
201-500 employees
Headquarters
Taipei City, TW
Year Founded
2018
Website
kronosresearch.com
Social Media