We use cookies to run the site and count visits. "Got it" also allows session recording.
3Commas.io
United Kingdom1 month ago
Experience
from 2 years
Work format
Remote
Employment
Full-time
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
QuantPilot is 3Commas' AI trading copilot: agents that research markets, generate trading strategies, backtest them and iterate on them together with the trader in a chat. We are building it for serious retail traders who want institutional-grade research tools that until now were available mainly to hedge funds and prop desks.
We are hiring a Trader to join the product team full-time. This is a hands-on trading role for someone who already runs systematic, automated strategies. Your day-to-day is building and stress-testing strategies across crypto, futures, stocks, FX, working directly with the engineers and designers building the tools you use. You are not here to advise or observe. You are here because you trade systematically, you automate, and you can push this platform harder than anyone else.
Research and build automated trading strategies using QuantPilot across crypto (perps and spot), futures, stocks, FX, commodities, etc.
Backtest strategies across multiple timeframes and market conditions using QuantPilot to find edges that hold up
Optimize strategy parameters, risk rules, position sizing and entry/exit logic
Analyze live and historical performance data in QuantPilot to understand why strategies win or lose
Stress-test strategies against drawdowns, volatility spikes, low liquidity and black swan scenarios
Work with product and engineering daily to identify gaps in the QuantPilot platform, suggest improvements, and validate new features from a trader's perspective
You are a systematic trader with at least 2 years experience doing the following:
You run automated strategies on either crypto (perps and spot), futures, stocks, FX, commodities, etc..
You have built bots, scripts or systematic setups for use across many markets
You build and iterate on strategies as a process. You can explain your edge, the market conditions it targets, and why it breaks down outside those conditions
You backtest rigorously before deploying. Overfitting, survivorship bias, look-ahead bias, regime change. These are problems you have dealt with, not concepts you have read about
Risk management is built into your systems. Position sizing, stop losses, drawdown limits, exposure caps, correlation checks
You have opinions about trading infrastructure. You have used multiple platforms, APIs and execution tools. You know what is slow, what breaks, what is missing
Bonus: you trade across multiple asset classes. Crypto, stocks, futures, commodities. Cross-market experience makes your input more valuable here
Bonus: you have built your own tools. Custom dashboards, alerting systems, execution scripts, data pipelines. Even rough ones count
DeFi yield farmers or liquidity providers
Long term holders
Discretionary traders with no system behind their trades
Manual traders who have never automated anything
QuantPilot is 3Commas' AI trading copilot: agents that research markets, generate trading strategies, backtest them and iterate on them together with the trader in a chat. We are building it for serious retail traders who want institutional-grade research tools that until now were available mainly to hedge funds and prop desks.
We are hiring a Trader to join the product team full-time. This is a hands-on trading role for someone who already runs systematic, automated strategies. Your day-to-day is building and stress-testing strategies across crypto, futures, stocks, FX, working directly with the engineers and designers building the tools you use. You are not here to advise or observe. You are here because you trade systematically, you automate, and you can push this platform harder than anyone else.
Research and build automated trading strategies using QuantPilot across crypto (perps and spot), futures, stocks, FX, commodities, etc.
Backtest strategies across multiple timeframes and market conditions using QuantPilot to find edges that hold up.
Optimize strategy parameters, risk rules, position sizing and entry/exit logic
Analyze live and historical performance data in QuantPilot to understand why strategies win or lose.
Stress-test strategies against drawdowns, volatility spikes, low liquidity and black swan scenarios.
Work with product and engineering daily to identify gaps in the QuantPilot platform, suggest improvements, and validate new features from a trader's perspective.
You are a systematic trader with at least 2 years experience doing the following:
You run automated strategies on either crypto (perps and spot), futures, stocks, FX, commodities, etc..
You have built bots, scripts or systematic setups for use across many markets
You build and iterate on strategies as a process. You can explain your edge, the market conditions it targets, and why it breaks down outside those conditions.
You backtest rigorously before deploying. Overfitting, survivorship bias, look-ahead bias, regime change. These are problems you have dealt with, not concepts you have read about.
Risk management is built into your systems. Position sizing, stop losses, drawdown limits, exposure caps, correlation checks.
You have opinions about trading infrastructure. You have used multiple platforms, APIs and execution tools. You know what is slow, what breaks, what is missing.
Bonus: you trade across multiple asset classes. Crypto, stocks, futures, commodities. Cross-market experience makes your input more valuable here.
Bonus: you have built your own tools. Custom dashboards, alerting systems, execution scripts, data pipelines. Even rough ones count.
DeFi yield farmers or liquidity providers.
Long term holders.
Discretionary traders with no system behind their trades.
Manual traders who have never automated anything.
We compare skills, grade, work format and salary
Most often 67,600 to 96,300
