Company & Culture
EXANTE is a pioneering wealth tech company that delivers cutting-edge centralized trading solutions and robust B2B financial infrastructure, driving value through innovative technology. Our proprietary trading platform provides seamless access to a diverse range of financial instruments, including stocks, ETFs, bonds, futures, and options, all within a single, multi-currency account.
As a rapidly expanding global firm with over 600 talented employees from 65 nationalities across 70 locations, we are a frontrunner in the financial sector. Our investment priorities are clear: We prioritize investing in our most valuable assetβour people. Join us in shaping the future of finance.
Overview
We are seeking highly skilled and motivated Quantitative Researchers to join our team, focusing on developing and implementing automated trading strategies across various platforms and instruments in the crypto space. The ideal candidates will possess a deep understanding of financial markets, crypto (DEFI), strong statistical and programming skills, and a passion for data-driven research.
We are based in Europe, but ideal candidates are based in other timezones - Asia or Americas - to support our 24/7 coverage of markets.
Languages - English is a must, Russian is a bonus.
Quantitative Researcher (Mid/Senior-Level)
Core Responsibilities
β’ Design, research, and backtest novel quantitative trading strategies for various asset classes in low-to-high frequency contexts.
β’ Develop and maintain robust alpha models, risk models, and execution algorithms.
β’ Analyze large, complex financial and market data sets to identify predictive signals and market inefficiencies.
β’ Evaluate DEFI protocols by recreating their underlying models to assess performance, risks, hedging strategies and potential for portfolio integration.
β’ Collaborate with the technology team to ensure seamless and efficient deployment of strategies into the production trading system.
β’ Monitor performance of live strategies, conduct attribution analysis, and propose improvements or adjustments.
β’ Stay abreast of academic literature, industry trends, and new technologies in quantitative finance and crypto.
Essential Qualifications
β’ Master's degree or Bachelor's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Engineering.
β’ 3+ years of experience in quantitative research, preferably at a systematic trading firm, hedge fund, or relevant fintech company.
β’ Proficiency in Python (including libraries like NumPy, pandas, scikit-learn). Knowledge of other languages is welcome. Deep understanding of statistical modeling, machine learning techniques, and time series analysis.
β’ Deep understanding of various financial instruments - dated and perpetual futures, options.
β’ Experience with automated trading systems and execution dynamics.
β’ Strong analytical and problem-solving skills, with the ability to translate abstract ideas into testable hypotheses and practical algorithms.
β’ Experience with cryptocurrency markets, blockchain technology, and decentralized finance (DEFI) is a significant advantage.
We offer*
β’ Competitive salary & performance-based bonus programs
β’ Corporate benefits (choose your preferred options)
β’ Truly inspiring culture, pleasant and informal work environment
β’ Ongoing education & training programs
β’ Opportunity to network and connect in the Corporate Events
β’ Global career opportunities
A group of disruptive technology experts created EXANTE. With an impressive track record in the industry and knowledge of the markets, our systems are built to democratize access to global financial instruments for professional traders and institutional investors.
Through our robust, cutting-edge trading platforms, you can offer clients access to comprehensive, global financial instruments and investment possibilities while keeping their data safe and private.
EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at [Upgrade to PRO to see link]
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