Metrics is working with a frontier markets company building liquidity infrastructure and quantitative systems for emerging markets.

The team is hiring a Quant Developer with 3–5 years of experience to lead research into improving liquidity across its programmes and develop the high-performance systems that power them.

You will research new markets, design liquidity systems, build and test strategies, and deploy them live across spot, perpetual futures and prediction markets. You will be responsible for turning research into strategies that improve liquidity, while building the infrastructure needed to run them effectively.This is a high-ownership role with a fast path from research to production, AI-native workflows and the opportunity to work across emerging markets.You will join a small, ambitious team that values autonomy, technical rigour and accountability. This is an environment for people who thrive on responsibility, move quickly and want to help build something from the ground up.

What You'll Work On

• Research new markets, trading venues and market structures where liquidity and pricing are still developing.
• Design, test and deploy strategies that improve liquidity across trading programmes.
• Build backtesting frameworks, simulations and analytical tools to evaluate strategy performance.
• Develop and optimise liquidity research infrastructure and high-performance trading systems.

What We're Looking For

• 3–5 years of experience in quantitative research or quantitative development.
• Strong Python skills and experience working with live markets.
• Experience developing systematic trading strategies and execution systems.
• Strong understanding of risk, trading edge and execution.
• Experience using AI-powered workflows to accelerate technical development and research.
• A proactive mindset, strong work ethic and ability to take ownership of projects.

Nice to Have

• Experience with prediction markets or event-driven markets.
• Familiarity with spot and perpetual futures mechanics, funding rates, basis, inventory risk and hedging.
• Experience building and optimising high-performance production systems.

Why Join?

• End-to-end ownership of liquidity research, strategy development and live deployment.
• Direct responsibility for trading strategy performance and liquidity outcomes.
• A fast path from research and experimentation to production.
• An AI-native working environment that supports high-quality quantitative research and engineering.
• A small, highly ambitious team with a strong focus on execution and ownership.
• Exposure to emerging markets and trading opportunities before they mature.
• A high-growth environment offering meaningful responsibility and significant upside.