Quantitative Trader - Crypto Prediction Markets

Raven

Lombardia

Vor Ort

EUR 120.000 - 180.000

Vollzeit

14 Tage+

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Zusammenfassung

Raven in Milan, Italy, is seeking a hands-on quantitative trader to join our in-office team. You will own pricing, quoting, and hedging across crypto derivatives with a focus on speed and accuracy. You bring deep experience in pricing models, market making, and backtesting, plus fluency in English.

You will work with real money and contribute to a globally connected trading stack. This role requires being in the office in Milan or Sofia, with a readiness to join a tight-knit, high-performance

Qualifikationen

  • Experience pricing digitals and barriers in crypto or traditional markets.
  • Deep understanding of volatility surfaces and hedging in practice.
  • Strong backtesting hygiene and latency-aware validation.
  • Fluent in English with clear communication.

Aufgaben

  • Price digitals and barriers from the volatility surface; manage skew and term structure.
  • Quoting and market making with fast reprice and cancel logic.
  • Hedging delta into perpetuals and spot; manage funding and basis.
  • Assess event probabilities on hedgeable and unhedgeable parts of the book.
  • Research using full-depth historical data and backtests with latency considerations.
  • Manage correlated exposure across strikes, expiries, and venues; tail risk controls.

Kenntnisse

Pricing models
Quoting
Market making
Hedging
Statistics
Backtesting
English fluency
On-chain settlement

Tools

Python
C++
Backtesting software

Jobbeschreibung

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 can teach markets; we cannot teach drive.
We build our own stack end to end, from connectivity and pricing through execution, monitoring, and research data.

THE ROLE

Most crypto prediction contracts are digital options in disguise. “BTC above $X at time Y” has a liquid underlying trading right next to it, so fair value is a pricing problem, not a guess, and the risk hedges into spot and perpetuals we already trade with low latency. This cuts both ways. The underlying never stops moving, so a stale quote is easy profit for whoever is faster, and pricing, hedging, and requoting are one problem, not three. The other half of the book has nothing to hedge against. Protocol upgrades, listings, regulatory decisions, hacks, and governance votes leave you estimating a probability and standing behind it. You will own both, competing against counterparties who are equally skilled.

WHAT YOU’LL OWN
  • Pricing digitals and barriersoff the crypto volatility surface. You will work the skew, term structure, and jump risk, and close the gap between a model price and what the market will actually give you
  • Quoting and market making.Two-sided prices that reprice as the underlying moves, re quote and cancel logic tuned to how fast we can actually reach the venue, and inventory managed across strikes and expiries
  • HedgingDelta into perpetuals and spot, funding and basis as the cost of carry, and pin risk and gamma as expiry approaches
  • Event probabilitieson the unhedgeable half of the book. Calibrated numbers with explicit priors, sized small when you honestly do not know
  • Researchon our own full-depth historical data. Backtests that respect latency and queue position, not just paper returns
  • RiskCorrelated exposure across strikes, expiries, and venues; tail risk through a jump; and oracle and resolution risk where settlement is a mechanism, not a given
WHO WE’RE LOOKING FOR
  • You have priced and traded options, digitals, or short-dated derivatives with real money behind the quotes, in crypto or traditional markets
  • Derivatives depth, including volatility surfaces, digital and barrier payoffs, and greeks you reason through rather than look up
  • Microstructure judgment, meaning queue position, adverse selection, latency budgets, andwhy the “correct” price is not always the one you post
  • Strong applied statistics and probability, with the discipline to defend a number you publish
  • Backtest hygiene. You know how look-ahead and unrealistic fills creep in, and you distrust good results until they survive replay
  • Fluent English
  • Prediction-market and on-chain settlement mechanics are a plus. You will own oracle and resolution risk from day one, so you should already understand how a contract actuallysettles
  • No degree required. Experience is what matters
LOGISTICS
  • Sofia (Bulgaria) or Milan (Italy), with no preference between them. Whichever city the right person is in
  • In office, not remote
  • Crypto trades around the clock. You will share a sane on-call rotation with the team that owns these systems
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