Your expertise: * High personal interest in quantitative and algorithmic approaches * Knowledge in quantitative analysis, statistics, time-series analysis, ML modeling and forecasting for markets * Experience from 2 years with Data Science activities, including data research and analysis, algorithmic strategy prototyping and backtesting * Experience with creating and supporting algorithmic strategies, including their risk management * Experience in systematically monitoring and evaluating the performance of algorithmic strategies with a set of KPIs * Experience with SQL, Pandas / NumPy / SciPy, and backtesting frameworks
Will definitely be a plus: * Experience with effectively managing delta-neutral and grid strategies * Experience in the management of a portfolio of algorithmic strategies * Experience with data science for Agentic AI and Machine Learning * Experience in the DeFi, DeFAI, or market-making * Good knowledge of Finance for markets
What’s in it for you? * Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers * Opportunity to make a difference for online privacy, freedom of speech, and net neutrality * Decent market rate compensation depending on experience and skills * Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency * Support of personal and professional development * coverage of costs of external trainings, conferences, professional literature * support of experienced colleagues * in-house events and trainings * regular knowledge sharing in teams * English classes and speaking clubs * Life-balance support * 25 working days of vacation * 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation) * generous maternity / paternity leave program * Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it
You will be involved into: * Lead Data Science activities for algorithmic strategies: data research and analysis, prototyping and backtesting, live strategy performance monitoring, designing data pipelines, designing and implementing risk management strategy * Participate in the full lifecycle of algorithmic strategy development: ideation, data research, strategy design and prototyping, backtesting, implementation, and live monitoring * Systematically monitor and analyze strategy performance metrics, research and generate hypotheses for improvement, and iteratively test hypotheses * Define requirements for implementation by Developers of algorithmic strategies and their data pipelines
About the company and project:
ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap has been on the market for 20+ years and is the 2nd largest domain registry in the world. We are the Namecheap Machine Learning Team.
The team prototypes and develops innovative systems with AI and Machine Learning. Currently, there are more than 10 Production systems in the areas of Email, Payments, Customer Service, and Analytics. Some of them have proven quality at the level of global market leaders.
The team provides all the conditions for active professional growth. The culture combines the best from enterprises and startups: a high level of professionalism, truly innovative technologies, friendliness, and stability.
