Trading Researcher

You will

• Collaborate with the product team to drive product development and jointly own business outcomes and results.
• Conduct data analysis, research, and train machine learning models (model MVP and requirements for prod stage roll-out).
• Translate data and models into visually accessible formats for non-technical audiences.
• Brainstorm and propose a design for product hypotheses A/B testing and retro analysis; as well as measuring the results of A/B testing.
• Identify and implement strategies for calculating business metrics and monitoring spikes and outliers for future actions.
• Promote a data-driven culture through workshops, training, and support, while actively participating in the design and review of research, analyses, and models.
• Interact with external teams by preparing tech requirements for monitoring and alerting, overseeing model production stage roll-out, and ensuring the successful execution of data products.
• Enhance the trading team's image through active involvement in data science communities, participation in external events, and the creation of articles for internal and external resources.

What makes you a great fit

• 5+ years of experience in Data Science, Data Analytics, and Product Analytics.
• Understanding SQL and possessing excellent knowledge of Python programming.
• Extensive expertise in machine learning and math modeling, enabling analysis and interpretation of data for informed decision-making.
• Mathematical or engineering education with a comprehensive understanding of mathematical statistics and probability theory, including correlations, effects, and anomaly detection.
• Strong team player, eager to collaborate effectively with the product team.
• Excellent verbal and written communication skills in upper-intermediate English, with a confident and proactive approach to problem-solving and decision-making. Ability to identify opportunities, strategically plan, and adapt to changes.

What we offer along the way

• Competitive salary based on the candidate's expectations and internal benchmark.
• Excellent opportunities for professional growth and development.
• Relocation package to Cyprus for the employee and family, including visa support.
• Mini Cooper Countryman S provided for the relocated employee.
• Comprehensive medical insurance coverage for employees and their family members.
• Access to the company fitness center and allowance for other sports activities.
• Kindergarten/school compensation program.
• A result-oriented approach and flexible working conditions.
• A corporate employee share scheme for all employees.
• 21 days of annual leave, flexible public holidays, and sick leave.

Your journey after applying

• Interview with a Talent Acquisition Specialist (45 minutes).
• Short online English test (for non-native speakers).
• Technical interview (1,5 hours).
• Test task (7 days).
• Behavioral interview (1 hour).