🇳🇱 Amsterdam, Netherlands · 17h ago
Senior Quantitative Researcher
BlockTech
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About BlockTechBlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance.Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further.The roleThis is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction.You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on.You WillOwn price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art MLShape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safelyOwn models in production: monitor live performance, diagnose decay, and iterate on what you shipSet research direction alongside traders, deciding which trades are worth making and whyRaise the research bar by mentoring colleagues, reviewing work, and setting standards for rigourWhat We're Looking For4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading liveA strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar)Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas)A deep, intuitive grasp of overfitting, generalisation, validation design, and feature engineering. You can explain why and how a model works, not just that it doesThe judgement to prioritise research bets independently and the communication skills to align researchers, engineers, and tradersStrong software engineering instincts: production-grade code that others can read, test, and runClear written and verbal EnglishStrong PlusesA live-trading track record, ideally in crypto derivatives, or a similar domainExperience mentoring or leading other researchersFamiliarity with market microstructure and derivatives pricingWhat's in it for you?Real ownership and a direct line to live PnL. Research, engineering, and trading happen a few metres apart, with the shortest feedback loops in the industry.Competitive base salary plus a very attractive performance-based bonus tied to individual and company resultsFor strong performers, the opportunity to buy into the trading fundA floor of strong peers and minimal bureaucracy between a good idea and productionAnnual learning & development budget and an in-house training programPension plan, company laptop, and reimbursement of home internet costsGym membership reimbursement and sports during working hours (kickboxing, CrossFit, fitness, soccer)Daily breakfast and warm lunch, with snacks and drinks throughout the dayRegular socials: weekly Friday drinks, monthly outings, quarterly sports competitions, bi-annual trips abroadFor internationals: an all-in relocation package and Dutch classesOur cultureAt our core, we are a team of passionate trading and tech enthusiasts committed to revolutionizing trading through automation. Our collaborative approach ensures that everyone contributes to achieving our ambitious goals.In this role, you will be both challenged and stretched, with ample opportunities for growth and development, both within and beyond your main responsibilities.We invest in our people by offering competitive compensation and benefits, fostering innovation, and celebrating success. Our commitment to personal development transcends traditional norms; we provide an equal playing field, promote reverse leadership, and offer boundless growth opportunities for all our employees.Join us to unlock your potential and drive innovation in the exciting world of algorithmic trading.Sourced from LinkedIn. Relocantly aggregates public job postings; apply on the original site.