--- title: 'Machine Learning Researcher at Scientech Research LLC' canonical: 'https://feeny.ai/job/machine-learning-researcher-scientech-research-llc-nj-pvd6xt96dsw5' type: 'job' last_seen: '2026-09-07' --- # Machine Learning Researcher at Scientech Research LLC - **Company:** Scientech Research LLC - **Location:** , NJ - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-05-20 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/scientech-research/b1eb5fed-4753-463d-9e3f-7683edc93522 ## Job description ## 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. ## About Scientech Research LLC ## Company Overview - **One-liner**: Scientech Research Capital is a quantitative trading firm that leverages technology, scientific research, and machine learning to trade across global financial markets using its own capital. - **Entity Type**: Private (Proprietary Trading Firm / Asset Manager) - **Headquarters**: Jersey City, New Jersey, United States (with office in Shanghai, China) - **Founded**: 2019 - **Founders**: Zheng Zhang, Le Duan, Rui Wei (Managing Partners) ## Core Business - **Industry**: Financial Services — Quantitative Trading & Asset Management - **Target Customers**: Business-to-Business (B2B) via institutional capital allocation; the firm trades on its own behalf as a proprietary trading firm and has expanded into asset management for large institutional investors. - **Mission/Purpose**: To leverage innovations and breakthroughs in technology to discover fundamental values in the financial markets, adhering to scientific principles and nurturing creativity in quantitative research. ## Products & Services - **Proprietary Trading Platform**: A multi-asset trading and research platform that accesses 10+ global exchanges, handles over 100 terabytes of data, and executes over **$1 billion USD** in daily trading volume across stocks, futures, and options. - **Asset Management**: Manages external capital from large institutional investors; current AUM reported by a Chinese-language source as over **$400 million USD**, with total committed capital exceeding **$1 billion USD**. - **Quantitative Research Framework**: An intelligent, cloud-based research framework using unlimited computing power for big data exploration and the development of **1,000+ statistical and machine learning models**. ## Market Standing - **Valuation/ Market Cap**: Not publicly disclosed (private firm). - **Key Metric (Funding/Revenue)**: Revenue is not publicly disclosed. The firm is profitable and proprietary. Committed capital from institutional investors is reported as exceeding **$1 billion USD**. - **Notable Investors/Partners**: Large, unnamed global institutional investment organizations; partners with major global electronic exchanges. - **Growth Signals**: - Survived and thrived through the 2020 market volatility storm. - Expanded from a pure proprietary trading firm into asset management, attracting institutional capital. - Talent pipeline includes former employees from Goldman Sachs, Jump Trading, Citadel Securities, and J.P. Morgan. - Active hiring across multiple roles in both Jersey City and Shanghai. ## Competitive Advantages - **Talent Density**: Team comprises STEM Ph.D.s, U.S. Math Olympiad medalists, and frontier AI researchers. Over 80% of staff are in research and development. - **Infrastructure Moat**: A proprietary, low-latency tech stack connecting to 10+ exchanges, processing over 100TB of data, and handling $1B+ in daily trading volume. - **Scientific Rigor**: Over 1,000 machine learning/statistical models under continuous development; leverages unlimited cloud computing for research. - **Capital Base**: Trading with its own capital (and now external institutional capital) allows for a long-term, research-focused strategy without external investor pressure on short-term performance. ## Strategic Focus - **Global Expansion**: Actively extending its trading footprint to more global markets and exchanges. - **Platform Buildout**: Investing heavily in building out a multi-asset trading and research platform. - **Talent Acquisition**: Deepening its bench of quantitative researchers, developers, and infrastructure engineers to drive innovation. ## Why Work Here - **Culture**: A research-driven, flat organization where "owners" shape the firm's direction. The team is small (~20-25 people), fostering high ownership and impact. - **Work Policy**: Multiple offices with in-office presence required. Locations are Jersey City, NJ (HQ) and Shanghai, China. - **Technology**: State-of-the-art tech stack (Python, C++, AWS, Linux, Redis, PostgreSQL, React). Works on hard problems at the intersection of finance, AI, and high-performance computing. - **Perks & Environment**: Emphasizes intellectual challenge, team events, and being part of a firm that "never stops iterating." Ideal for those who enjoy deep, hard problems in financial markets. ## Sources 1. [scientechresearch.io](https://www.scientechresearch.io/) 2. [linkedin.com](https://www.linkedin.com/company/scientech-research-llc) 3. [builtin.com](https://builtin.com/company/scientech-research) 4. [scientechresearch.io/about](https://www.scientechresearch.io/about) 5. 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