Location: Remote

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.‬