Asks for

The ad says“Real interest in crypto and DeFi. Professional crypto experience isn't required; demonstrated engagement with the space is.”
The ad says“Real interest in crypto and DeFi. Professional crypto experience isn't required; demonstrated engagement with the space is.”
The ad says“Python preferred, ideally applied to financial modeling or data analysis (pandas, notebooks, working with messy datasets). Adjacent tooling — R, MATLAB, SQL, serious Excel modeling — counts.”
The ad says“Python preferred, ideally applied to financial modeling or data analysis (pandas, notebooks, working with messy datasets). Adjacent tooling — R, MATLAB, SQL, serious Excel modeling — counts.”
The ad says“Python preferred, ideally applied to financial modeling or data analysis (pandas, notebooks, working with messy datasets). Adjacent tooling — R, MATLAB, SQL, serious Excel modeling — counts.”
The ad says“Strong quantitative foundation: probability, statistics, and the instinct to reach for data before opinions.”
The ad says“Python preferred, ideally applied to financial modeling or data analysis (pandas, notebooks, working with messy datasets). Adjacent tooling — R, MATLAB, SQL, serious Excel modeling — counts.”
The ad says“Strong quantitative foundation: probability, statistics, and the instinct to reach for data before opinions.”
The ad says“Python preferred, ideally applied to financial modeling or data analysis (pandas, notebooks, working with messy datasets). Adjacent tooling — R, MATLAB, SQL, serious Excel modeling — counts.”
The ad says“Python preferred, ideally applied to financial modeling or data analysis (pandas, notebooks, working with messy datasets). Adjacent tooling — R, MATLAB, SQL, serious Excel modeling — counts.”
The ad says“Strong quantitative foundation: probability, statistics, and the instinct to reach for data before opinions.”

We're hiring a Junior Trader to join our trading team. You'll work directly with senior traders across strategies on centralized and decentralized venues, and take on your own responsibilities quickly.

We don't require prior DeFi experience. We do require that you're quantitative, technical, and able to move fast without breaking things.

What you'll do

Execute and manage trades across centralized (CEX) and decentralized (DEX) venues — order books, AMM pools, and concentrated liquidity positions.
Monitor positions, inventory, and P&L in real time. Identify risks early and act on them.
Build and improve the tooling the desk runs on: position trackers, reporting dashboards, hedging workflows, reconciliation.
Analyze market and execution data to answer questions that matter — where slippage comes from, which pools are actually profitable, how our fill quality compares to the market.
Develop real depth in market structure and protocol mechanics (AMMs, PMMs, lending protocols) and bring it back to the desk.

What we're looking for

0–3 years of experience — recent graduates with strong technical credentials, or candidates from quant research, engineering, data, or markets-adjacent roles looking to move onto a trading desk.
Strong quantitative foundation: probability, statistics, and the instinct to reach for data before opinions.
Python preferred, ideally applied to financial modeling or data analysis (pandas, notebooks, working with messy datasets). Adjacent tooling — R, MATLAB, SQL, serious Excel modeling — counts.
Real interest in crypto and DeFi. Professional crypto experience isn't required; demonstrated engagement with the space is.
Sound judgment under pressure. Markets move at 3am and things break. We need someone who stays composed, thinks clearly, and escalates early.
Precise communicator
Self-directed and adaptable; comfortable operating with autonomy across time zones in a remote-first environment.

Nice to have

Personal trading, market-making, or on-chain activity of any kind — a portfolio, a bot, an arbitrage script, a Dune dashboard.
Familiarity with Solana tooling (Jupiter, Orca, Drift) or EVM DeFi (Uniswap, Aave, Curve).
Exposure to algorithmic or systematic trading.
Machine learning or large-scale data analysis (regression, tree-based methods, classification).
Internships or prior work at a trading firm, market maker, exchange, or protocol.

What you'll get

Direct mentorship from traders running real capital — you'll learn by working alongside them, not from a curriculum.
Responsibility as fast as you can earn it, with clear feedback on where you stand.
Exposure across the full stack of a trading operation: execution, risk, tooling, counterparty relationships, and market structure.
A front-row seat as equities, commodities, and crypto converge on-chain.