Quant researcher(Python)

Our client is building an in-house algorithmic trading infrastructure focused on arbitrage and market-making across intent-based platforms and DEX ecosystems.
The system will support strategies around 1inch Fusion, arbitrage between Fusion & limit orders, research into the 1inch Aqua protocol, and market making on upcoming intent platforms integrated with Boosty.
Additionally, the project includes collaboration with Thalex exchange and leveraging existing professional expertise to design robust trading models, execution pipelines, and infrastructure for reliability and low-latency operations. Join our team and make an impact!

Requirements:
 

• Strong Python skills (NumPy, pandas, Jupyter, data analysis stack).
• Understanding of market microstructure (orderbooks, slippage, taker/maker fees).
• Options knowledge: IV, delta / vega / gamma, skew behavior.
• Strong analytical and quantitative mindset.

• Experience in crypto markets is a plus.

   

Responsibilities:

• Identify trading opportunities (arbitrage, mispricings, cross-venue inefficiencies).
• Backtest trading strategies and perform statistical validation.
• Monitor ongoing strategy profitability and performance metrics.

• Conduct risk evaluation (volatility, exposure, liquidity risks).

   

What we offer:

• Remote working format
• Flexible working hours
• Informal and friendly atmosphere
• The ability to focus on your work: a lack of bureaucracy and micromanagement
• 20 paid vacation days
• 7 paid sick leaves
• Education reimbursement
• Free English classes
• Psychologist consultations
• Recruitment process:

Recruitment interview – Technical Interview – Client Interviews