Senior Quantitative Researcher

2 weeks 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 for systematic crypto strategies that target time horizons of from seconds to a few days.- Research alpha signals for cryptocurrencies 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 (Qualifications)**- Experience with alpha signal construction methodologies for crypto strategies-
- Degree in AI, ML, Mathematics, Computer Science, Econometrics or Quantitative Finance with a strong academic background-
- 2 years of working experience across a range of disciplines, such as data mining, machine learning, NLP and time series analysis for various datasets-
- Experience in portfolio construction and risk modeling, optimization algorithms, machine learning techniques and regression-
- Strong programming skills in Python-
- Entrepreneurial, self-motivated, able to work independently and within a team**Why Join Us**
- Competitive remuneration package and a meritocratic culture where accomplishments are rewarded
- Fast paced and result-oriented with a flat structure
- Collaborative teams in an energetic and casual working environment
- Excellent exposure to the crypto ecosystem and the latest market insight
- Great career development opportunities and international mobility

**_ Disclaimer_**:

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