TL;DR
Senior Quantitative Researcher (Fintech): Developing and deploying machine learning-based statistical arbitrage strategies for high frequency trading with an accent on model optimization, feature engineering, and multi-exchange data analysis. Focus on designing ML pipelines, leading research initiatives, and mentoring team members.
Location: Amsterdam office, onsite
Company
hirify.global is a fintech company specializing in high frequency trading strategies using advanced machine learning techniques.
What you will do
- Develop and deploy ML-based statistical arbitrage strategies for HFT.
- Analyze market data to explore new trading ideas and design predictive models.
- Work with ML pipelines across multiple exchanges to support strategy development.
- Optimize and advance existing models continuously.
- Communicate and collaborate with internal teams.
- Mentor and potentially lead team members.
Requirements
- Must have 5+ years experience in HFT companies.
- Extensive expertise in ML models for HFT strategies.
- Experience with ML pipelines running on multiple exchanges.
- Proficiency in at least one programming language, preferably Python.
- Ability to work on full pipeline from data sampling to production deployment.
- Strong motivation, resilience, and teamwork skills.
Nice to have
- Experience mentoring or managing a team of researchers or interns.
Culture & Benefits
- High base salary with social benefits and profit-sharing scheme.
- Flexible workflow and schedule without bureaucracy or over-management.
- Access to cutting-edge hardware and software for implementation of bold ideas.
- Opportunities to trade on dozens of international exchanges.
- Tuition reimbursement and sponsorship for conferences and training.
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