Quantitative Trading Research Intern

About Acheron Trading

Acheron Trading is a market maker licensed under CASP by the AFM in the Netherlands in compliance with MiCAr regulations, with passporting rights across all EU nations. The firm offers liquidity services to digital asset issuers from their initial stages throughout their adoption lifecycle. Acheron believes that inefficiencies in the market are a key barrier to the widespread adoption of digital assets.

Role Overview and Responsibilities

This position entails working closely with the quantitative team to develop and validate systematic trading strategies and risk models focused on cryptocurrency markets. The role is highly practical from day one, involving direct interaction with actual market data, constructing backtesting frameworks, and assisting research efforts that influence live trading activity.

• Investigate, develop, and test algorithmic trading strategies utilizing diverse crypto market datasets including price, volume, order book dynamics, funding rates, and blockchain data.
• Create, uphold, and refine backtesting environments, mitigating common biases such as lookahead and survivorship biases and incorporating realistic transaction cost models.
• Design and assess quantitative risk models applicable to the crypto asset spectrum.
• Employ statistical techniques to validate the reliability and out-of-sample efficacy of trading approaches.
• Clearly document research methodologies, underlying assumptions, and constraints for internal evaluation.
• Work alongside traders and senior research staff to help transition research findings into executable trading strategies.

Candidate Requirements

• Currently enrolled in or recently graduated from a quantitative discipline such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or a related field.
• Proficient in Python programming for purposes of data processing, statistical modeling, and simulation tasks.
• Strong background in statistical analysis and time-series methodologies.
• Experience or educational exposure to quantitative finance, trading research, or comparable projects.
• Comfortable handling complex, imperfect real market data and establishing reproducible research procedures.
• Effective communication skills to articulate assumptions, approaches, and limitations clearly.
• A sincere interest in cryptocurrency markets and their microstructure.