HFT Execution & Alpha Monetisation

DeepFin is a systematic proprietary trading firm combining deep learning, traditional quantitative research methods, and cutting-edge trading technology, to trade global markets. Founded by engineers and researchers, we build and deploy advanced trading systems that operate across global markets.

Our team is lean, highly technical, and impact-driven - every hire plays a direct role in shaping the firm’s technology, strategy, and performance. We value curiosity, precision, and collaboration, and we’re building an environment where exceptional people can do their best work at the intersection of AI and financial markets.

We’re seeking a hands-on Quantitative Researcher / Trader to drive HFT Execution & Alpha Monetisation, scaling our core deep-learning alpha across new markets, exchanges, and products.

As part of our Quantitative Research team, you will sit at the intersection of research, engineering and low-latency execution, responsible for turning proven alpha into scalable, multi-market PnL.

This is a hybrid role focused on building, optimising, and deploying HFT strategies in live environments.

Key Responsibilities

• Monetise core alpha through efficient execution strategies across futures and related products.

• Expand trading universes - identify and onboard new instruments within existing markets and work closely with BD to identify new opportunities and exchanges. 

• Develop and refine execution logic - optimise market access, routing, and order placement to minimise slippage and latency impact.

• Collaborate closely with researchers, developers, and infrastructure engineers to bring models from research to production.

• Design and test short-term signals and execution algorithms to preserve alpha and reduce transaction costs.

• Monitor live strategies, diagnose performance drift, and implement continual improvements.

• Conduct PnL attribution and microstructure analysis to measure and enhance monetisation efficiency.

• Stay ahead of exchange microstructure changes and proactively adapt strategies to evolving market dynamics.

Ideal Candidate Profile

• 5+ years of experience in HFT or ultra-low-latency trading, ideally within futures markets (options experience is a strong plus).

• Proven track record in execution alpha monetisation - not just signal generation - you’ve taken models from idea to production.

• Deep understanding of L3 data, market microstructure, order book dynamics, and short-horizon predictive models.

• Hands-on experience in strategy deployment and productionisation, including calibration, risk controls, and post-trade analytics.

• Strong quantitative and programming skills - Python and C++ preferred; familiarity with distributed and low-latency systems advantageous.

• Knowledge of cross-exchange arbitrage, market making, or execution cost optimisation a plus.

• Highly analytical, commercial mindset with the ability to operate autonomously in a fast-paced, research-driven environment.

If you’re passionate about applying advanced technology to real-world markets and want to work alongside a focused, high-performing team, we’d love to hear from you. DeepFin offers a collaborative, research-driven environment where ideas move quickly from concept to execution and where every contribution has visible impact.

Join us in building the next generation of deep-learning-driven trading systems - shaping the future of finance through innovation, rigour, and technology.