Quantitative Researcher

3 days ago

Singapore Time Research Full time

**What We Do**

Time Research was founded by a team of traditional and crypto trading veterans with an average daily trading volume of over $1B USD. We are active and passionate participants who are fully committed to building a better long-term future for the digital asset space, and pride ourselves in maintaining a low profile to focus on what we do best.

We have deep expertise in trading, technology and operations, and attribute our success to rigorous scientific research. As a technology and research-driven firm, we design and build our own cutting-edge systems: from high performance trading, large scale data analysis to compute farms.

**What You Will Do**

This role will be responsible for creating new crypto alpha signals in the mid-low frequency space using advanced statistical methods including AI/machine learning tools, portfolio construction and optimization process for systematic crypto strategies that target time horizons of one to a few days.
- Research alpha signals based on the latest academic research and market trends
- Use statistical methods to analyze a variety of large data sets for potential alphas
- Analyze and improve the performance of existing trading signals
- Research multi-factor alpha blending and factor timing models to dynamically alter alpha signal weights
- Responsible for portfolio construction, optimization, risk modeling and analysis using statistical methods such as machine learning
- Backtest trading strategies
- Work on optimizing the trading and execution of strategies

**Who You Are**
- Degree in AI, ML, Mathematics, Computer Science, Econometrics or Quantitative Finance with a strong academic background
- 2 years of experience working across a range of disciplines, such as data mining, machine learning, NLP and time series analysis
- Familiar with alpha signal construction methodologies
- Experience in portfolio construction and risk modeling, optimization algorithms, machine learning techniques and regression
- Familiar with traditional multi-factor risk models such as BARRA, APT, Axioma
- Demonstrable passion in the digital asset space
- Strong programming skills in Python, MATLAB is a plus
- Entrepreneurial, self-motivated, able to work independently and within a team

**Why Join Us**
- Competitive remuneration package and benefits
- Fast paced and result-oriented environment with a flat hierarchy
- Excellent exposure to the crypto ecosystem and the latest market insight
- Collaborative teams in an energetic and fun working environment
- Flexible and casual, but hard working and meritocratic culture where accomplishments are rewarded
- Great career development opportunities and international mobility

**_Disclaimer_**:

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