Experienced Quantitative Trader

Job not on LinkedIn

🕒 June 24

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Logo of Kronos Research

Kronos Research

51 - 200 employees

Founded 2018

💼 Consulting

📦 Logistics

₿ Crypto

💰 Venture Round on 2019-07

Consulting • Logistics • Crypto

Kronos Research is a leading force in the quantitative trading sector, established in 2018. The company is heavily involved in the cryptocurrency market, providing services such as token market making, exchange market making, and proprietary quantitative trading. Kronos Research handles billions of dollars in transactions daily and offers asset management services with a multi-strategy approach to deliver consistent and uncorrelated returns. Additionally, they invest in early-stage ventures and offer advisory support throughout the business lifecycle. Their operations highlight significant engagement with centralized (CEX) and decentralized exchanges (DEX), indicating a strong presence in the crypto industry. Kronos is also active in fostering innovations through a collaborative work environment.

📋 Description

• Manage and optimize portfolios, employing fully systematic quantitative strategies to achieve consistent returns. • Develop, backtest, and implement trading strategies in the cryptocurrency markets, balancing risk and reward. • Conduct deep analysis of crypto assets and market trends to make data-driven investment decisions. • Collaborate with quant researchers, data scientists, and tech teams to refine strategies and improve portfolio performance. • Monitor and manage risks associated with trading strategies to ensure alignment with firm objectives. • Communicate portfolio performance and risk analysis to senior management and stakeholders regularly.

🎯 Requirements

• Exceptional educational background from a top-tier global institution (e.g., Ivy League, Oxbridge, top schools in Asia/Europe). • Solid live trading track record of consistent returns on CEX and/or DEX • Previous experience at a proprietary trading firm, or hedge fund is highly preferred. • Strong proficiency in quantitative research, risk management, and statistical analysis. • Strong programming and automation skills (Python, C++, Rust, Golang, etc.) to implement, refine and execute strategies

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