We are looking for a Trader and Developer for our partner, a regulated financial technology business operating in the digital assets space.
The project focuses on market making and algorithmic trading across a multi-asset, multi-venue digital asset book. The core areas include utility tokens, stablecoins, real-world assets, prediction markets, and absolute-return strategies on liquid assets.
This is not a pure quant, research, or standard software engineering role. We are looking for a hands-on specialist who can both trade and independently design, build, test, deploy, and monitor market-making algorithms in a live trading environment.
Requirements:
Strong hands-on experience in market making and/or algorithmic trading.
Deep understanding of market-making mechanics, including quoting, inventory skew, spread management, and hedging logic.
Experience working with a live trading book, including P&L, inventory, and risk ownership.
Practical experience with manual trading, manual hedging, or manual intervention under stressful market conditions.
Ability to independently design, code, test, and deploy trading algorithms.
Experience deploying production trading systems in a 24/7 environment.
Strong programming skills. Rust is highly preferred; C++ and Python are also important.
Good knowledge of SQL and Linux command line.
Experience with Python data/quant libraries such as pandas, NumPy, SciPy, or similar.
Strong understanding of probability, statistics, pricing, hedging, risk, and strategy evaluation.
Experience in digital assets, such as crypto market making, CEX, DEX, prediction markets, or related areas.
Experience in traditional financial markets / TradFi.
Cross-asset mindset and ability to transfer trading techniques across digital assets, derivatives, spot/perpetual markets, and traditional markets.
Understanding of risk-adjusted performance, including Sharpe, drawdown, attribution, and exposure monitoring.
Strong security awareness in a digital-asset trading environment, including keys, credentials, API permissions, and secure deployment.
Willingness to participate in shift work or night rotation when required.
Strong written and verbal communication skills, with the ability to explain technical and trading topics to senior stakeholders.
Responsibilities:
Design, build, and maintain market-making algorithm architecture end to end, including pricing, quoting, hedging, inventory management, and execution logic.
Independently code, test, and deploy trading algorithms without relying on a dedicated developer.
Work on market-making strategies across one or more areas: utility tokens, stablecoins, real-world assets, and prediction markets.
Participate in live trading, including manual position management, hedging, risk control, and manual intervention when required.
Research, build, and run absolute-return strategies on liquid assets, such as cross-exchange arbitrage, statistical arbitrage, spread-divergence, or volatility strategies.
Build and maintain backtesting frameworks, out-of-sample validation, live-versus-backtest reconciliation, and production monitoring.
Support and improve the live algorithm stack, including fast diagnosis and resolution of production issues under live market conditions.
Work with market-data infrastructure, including WebSocket streams, REST APIs, FIX protocol, order-book reconstruction, and latency profiling.
Monitor P&L, drawdown, exposure, leverage, concentration limits, and venue risks.
Prepare performance reporting, including volume, spread, depth, uptime, P&L, and attribution.
Follow strong operational security practices around keys, credentials, API permissions, least-privilege access, and safe deployment.
Collaborate with traders, developers, platform engineers, senior stakeholders, and external market-making partners.
