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. 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.‬