Senior Researcher, HFT, Market Making, Crypto

Job not on LinkedIn

🕒 Yesterday

🌐 United Kingdom, Poland, +4 more countries – Remote

🇬🇧 United Kingdom – Remote 🇵🇱 Poland – Remote 🇩🇪 Germany – Remote 🇨🇿 Czechia – Remote 🇸🇰 Slovakia – Remote 🇨🇭 Switzerland – Remote

💵 €90k - €160k / year

⏰ Full Time

🟠 Senior

🧬 Research Scientist

👻 Ghost score 0%

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Koton

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1988

👗 Fashion

🛒 Retail

🛍️ eCommerce

💰 Private Equity Round on 2012-06

Fashion • Retail • eCommerce

Koton is a Turkish fashion retailer and brand that operates both an e-commerce site and physical stores. The company sells a wide assortment of apparel and accessories for women, men, children and babies — including outerwear, jeans, dresses, sportswear, underwear, and shoes — and publishes seasonal collections, promotions and a mobile shopping app.

📋 Description

• Design and iterate crypto trading strategies • Identify signals in order book dynamics • Analyze trade flow, fill behavior, and short-term price evolution • State hypotheses and validate them on real historical data • Design solutions and collaborate with the development team to deploy them into production • Analyze feedback from the trading team • Refine performance and PnL metrics • Perform post-trade analysis • Continuously review trading logic • Own trading strategies end-to-end from first hypothesis to live PnL

🎯 Requirements

• Detailed understanding of trading strategies successful in a live HFT environment • Experience owning the full loop from idea and analysis through validation, live PoC, and iteration • Clear communication and ability to explain reasoning to various stakeholders • Ability to work effectively in a remote setup long-term or willingness to relocate • Career across several trading firms including a research-focused role • HFT or market making experience in crypto or traditional markets • Experience in proprietary trading firms or quantitative trading teams • Knowledge of order book mechanics • Knowledge of execution, slippage, and adverse selection • Short-term alpha generation experience • Cross-exchange arbitrage experience • Strong data skills in Python or similar • Ability to prepare and analyze large datasets • Disciplined approach to backtesting, evaluation, and risk management • Expert Python, SQL, and advanced .NET are bonus qualifications

🏖️ Benefits

• Paid time off to actually switch off • Fully catered office: all-day snacks, daily lunch, coffee and drinks on us • Work-from-home flexibility for non-remote roles • Training and development to keep sharpening your edge • Performance bonuses tied to results • Relocation support for candidates moving to Czechia • Pick your own hardware, top-spec kit, no IT-catalogue limits

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