Quant Trader at Raven in Milan, Lombardy, IT

About Raven

Raven is a proprietary crypto market-making and high-frequency trading firm. We trade spot, perpetuals, and prediction markets with dedicated low-latency infrastructure across eight major trading regions.

We hire competitive individuals and natural problem solvers with a record of ranking at something hard, whether competitive programming, games, or mathematics, who treat an unfamiliar problem as a challenge rather than an obstacle.

We build our own stack end to end, from connectivity and pricing through execution, monitoring, and research data.

The role

Our strategies are automated, but someone still has to make the trading decisions. How much risk we run, when we widen or step back, where we add capital, and when a strategy has stopped earning its keep are all calls the trader makes. That is this job.

You will know our positions and risk at any moment, hedge the options book, and own the P&L of the strategies you run. You will work with our quants on what to change and with our developers on how to change it.

What you'll own

• Live trading. Strategies running across centralized and decentralized exchanges and prediction markets, managed in real time, with spreads, sizes, inventory, and parameters adjusted as conditions change
• Options risk. Delta kept hedged, gamma and vega within limits, and expiries, pin risk, and funding costs understood before they turn into surprises
• Post-trade analysis. Fills, P&L attribution, slippage, and markouts broken down until you know where we make money and where we leak it
• Finding edge. Pricing inefficiencies, liquidity patterns, and reaction times across venues, prediction markets included, spotted early and turned into ideas our quants can test
• New venues and markets. Deciding which new exchanges and products are worth trading, and scaling into them as they prove themselves
• Strategy ownership. As you prove yourself, strategies that are yours end to end, from pricing and execution logic to deciding when to scale up or switch off

Who we're looking for

• A solid understanding of derivatives, especially options and perpetual futures. You know the Greeks, implied volatility and skew, funding, and basis, and how each one shows up in a position
• Market microstructure and order flow. You understand how order books, queue position, fees, and latency decide which fills you get, and why some fills are worse than they look
• Statistics. You are comfortable with probability, regression, and time series, and you know when a P&L change is real and when it is just noise
• Market-making maths. You understand fair value, inventory skew, and adverse selection, and how each one changes where and how much you quote
• At least 3 years of trading experience, ideally at a market maker, prop trading firm, exchange, or bank derivatives desk, including live trading with real money
• You think in expected value. You can tell a bad decision from bad luck, and you change your mind when the data tells you to
• You decide quickly and calmly. When the market moves fast, you size up the risk, act, and can explain your reasoning afterwards
• Data instincts. You use Python and Linux to dig into fills, order book data, and P&L, and you catch errors, like timestamps that do not line up across venues, before they flatter an analysis
• Fluent English

Nice to have

• Hands-on options trading experience, such as helping run a book, quoting and hedging, or volatility relative value trades
• Experience trading on-chain or on decentralized exchanges
• Experience with prediction markets
• Experience putting models or data into production trading workflows
• SQL and experience working with large trading datasets
• Reading knowledge of Rust, which our trading systems are written in

Logistics

• Sofia (Bulgaria) or Milan (Italy), with no preference between them. Whichever city the right person is in
• In office, not remote