Key Responsibilities：
1. Mine alpha factors and build predictive models via deep learning based on multi-dimensional financial market data.
2. Explore signal fusion and strategy ensemble approaches to enhance model robustness and portfolio return characteristics.
3. Rapidly prototype, reproduce and optimize state-of-the-art deep learning models with mainstream ML frameworks.
4. Stay updated on latest academic and industrial research, conduct ongoing model iteration and performance enhancement.
Qualifications：
1. Bachelor’s degree or above from top domestic and international universities, majoring in Computer Science, Mathematics, Statistics, Machine Learning or related quantitative disciplines.
2. Strong theoretical foundation in machine learning, proficient in Python and mainstream deep learning frameworks; capable of end-to-end data processing and independent modeling.
3. Hands-on research or project experience in time series forecasting, NLP or other deep learning related domains.
4. Logical, rigorous mindset with excellent self-learning capability and strong interest in applying ML to quantitative finance.
5. Prior internship or working experience in Internet, AI, fintech or quantitative domains.
Preferred Qualifications：
1. Kaggle competition awards or first-author publications at top ML conferences (NeurIPS / ICML / ICLR).
2. Relevant internship experience in quantitative trading, asset management or financial technology.
Skills Required
- Bachelor's degree in Computer Science, Mathematics, Statistics, or related fields
- Strong theoretical foundation in machine learning
- Proficiency in Python and ML frameworks
- Hands-on research or project experience in time series forecasting or deep learning
- Excellent self-learning capability and interest in quantitative finance
- Prior internship or working experience in related domains
What We Do
Scientech Research Capital is a quantitative trading firm founded by wall street veterans each with 10+ years of proven track record from top-notch firms. SRC strives to leverage the innovations and breakthroughs in technology to discover fundamental values in the financial markets. We pride ourselves in adhering to scientific principles and nurturing creativity in quantitative research. As a proprietary trading firm, we utilize our own capital to deploy investments. Currently we have presence in major US and Asian exchanges with daily trading volume over $500MM USD. Since the company founded in 2019, our trading strategy and infrastructure have weathered through the 2020 financial market storm, riding unseen volatility spike and handling massive data volume with ease. We are actively seeking talents to build out our multi-asset trading and research platform, and extend the footprint to global markets.
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