DeepFin is a Quantitative Proprietary Trading Firm.

We design, develop, and deploy deep learning–driven trading systems that operate across global markets, enabling us to efficiently capture opportunities and manage risk in all market environments.

DeepFin Markets - Data server financial trading

Trading Finance - AI Machine Learning Trading from DeepFin

Who we are

Our strength lies in our team, combined with our proprietary technology and trading IP - a state-of-the-art price creation, execution, and decision engine that enables us to efficiently navigate the complexities of global markets, ensuring precision and effectiveness in our operations. We pride ourselves on our culture of innovation and excellence, fostering an environment where creativity and expertise are the driving forces behind our success.

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01 – Execution

DeepFin trades across global markets - our execution framework is designed to minimise market impact while maintaining efficiency and stability.

As both a liquidity consumer and a market maker, we are committed to fostering market integrity and contributing to optimal trading conditions for all participants.

02 – Proprietary Technology

Powered by cutting-edge infrastructure and deep learning models, our proprietary trading systems enable rapid adaptation to changing market conditions.

This allows us to respond to market events in real time, ensuring precision, scalability, and operational efficiency across all trading environments.

03 – Risk & Control

Risk management and control are embedded in every layer of our operations.

We strike a careful balance - combining speed and automation with a deep understanding of material risks - ensuring that our systems operate with consistency, discipline, and minimal market impact.

04 – Research & People

At the heart of our innovation is our quantitative research and technology team - a group of highly skilled researchers and engineers developing adaptive trading algorithms for dynamic global markets.

We take pride in our flat organisational structure and entrepreneurial culture, empowering collaboration and innovation.

Every day, our teams tackle the challenge of competitively pricing and executing a diverse range of financial products in real time.

Innovation at the Forefront of Finance

Our strength lies in our team, combined with our proprietary technology and trading infrastructure - a state-of-the-art price creation, execution, and decision engine built on deep learning and data-driven intelligence.

This enables us to navigate global markets with precision, ensuring effectiveness and resilience in our operations.

We pride ourselves on a culture of innovation and excellence, fostering an environment where creativity, research, and expertise drive success in algorithmic trading.

AI Machine Learning Trading from DeepFin

Skyscraper - AI Machine Learning Trading from DeepFin

Our Expertise

Our journey has seen us evolve from traditional quantitative research methods to leveraging advanced deep learning architectures, continuously innovating to enhance our trading strategies.

We understand that success lies not only in the speed of reaction, but in the intelligence and adaptability of our models.

DeepFin’s systems are built to meet the challenges of modern trading - balancing agility with a comprehensive understanding of market dynamics, whilst ensuring minimal market impact.

Careers with DeepFin

DeepFin Research is a systematic proprietary trading firm that combines deep learning and quantitative research methods to trade global markets. We design and deploy high-performance trading systems across geographies and time horizons, using advanced research and technology to identify and act on market inefficiencies at scale.

Founded by engineers and researchers, DeepFin is built around a lean, collaborative culture where ideas move quickly from concept to live trading. We focus on impact, curiosity, and precision - fostering an environment where exceptional people can do their best work at the intersection of deep learning and financial markets.

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