Scientech Research

Overview

Scientech Research is a quantitative trading firm founded in 2019 by Wall Street veterans with over a decade of experience. The firm employs a team of scientists and technologists dedicated to leveraging technological innovations and scientific principles to identify fundamental values in financial markets. As a proprietary trading firm, Scientech Research utilizes its own capital to deploy investments across major global electronic markets. The firm's trading strategies and infrastructure have demonstrated resilience, effectively navigating market volatility and handling substantial data volumes since its inception. The firm's investment approach is rooted in quantitative research, utilizing over 1,000 statistical and machine learning models to explore patterns and uncover pricing inefficiencies in global financial markets. Scientech Research employs a systematic trading approach spanning multiple asset classes, including equities, derivatives, fixed income, commodities, and cryptocurrencies. The firm emphasizes big data exploration, rigorous quantitative research, and automation to identify and capture investment opportunities while managing risk. Scientech Research has established a significant presence in major global exchanges, with daily trading volumes exceeding $1 billion USD. The firm's infrastructure is designed to process over 100 terabytes of data daily, connecting to more than ten exchanges worldwide. The team comprises individuals with deep academic expertise, including STEM Ph.D.s from top institutions, elite mathematical talent, and leading researchers in artificial intelligence. Scientech Research is actively seeking talent to build out its multi-asset trading and research platform and extend its footprint to global markets.

Investment Focus

• Proven track record in quantitative research and trading
• Expertise in statistical and machine learning models
• Experience in high-frequency data processing
• Ability to develop and deploy systematic trading strategies across multiple asset classes
• Strong background in big data exploration and automation
• Interest in global financial markets and diverse investment opportunities
• Commitment to scientific principles and technological innovation in investment strategies
• Ability to work collaboratively in a multidisciplinary team environment
• Strong problem-solving skills and analytical thinking
• Willingness to adapt to dynamic market conditions and evolving technologies