Job Description

Your role at Exness:

Collect, process, and analyze data to generate actionable insights supporting data-driven decision-making across the Client Relationships & Service Division The role involves identifying trends, uncovering patterns, causal Inference and creating visualizations or reports to communicate findings effectively to stakeholders, driving improvements in operations, strategy, and performance.

You will:

• To define/improve metrics representing the product’s performance and operations efficiency
• Collect data from multiple sources, ensuring its accuracy and completeness.
• Clean, organize, and transform raw data into usable formats for analysis.
• To search for inefficiencies and suggest solutions
• To assess solutions through backtesting, A/B testing and modeling
• To know well the data landscape and collaborate with Data Engineers to improve it

What makes you a great fit:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 4+ years of hands-on experience in data science.
• Comprehensive understanding of mathematical statistics and probability theory.
• Proficiency in SQL and Python (pandas, visualization and ML packages).
• Expertise in machine learning and math modeling, enabling analysis and interpretation of data for informed decision-making.
• Strong proficiency in causal inference methods and a proven track record of A/B test design and result interpretation.

Nice to have:

• Experience with Spark
• Experience with Metabase and Grafana
• Experience working in Agile environments or collaborating with development teams

Soft Skills:

• Acting as a team player
• Highly organized and rigorous thinker, able to solve problems diligently and creatively
• Detail-oriented and result-oriented individual
• Absolutely quick learner, able to work independently
• Able to adapt to constant requirement changes and produce fast solutions

What we offer along the way:

• Competitive and attractive compensation
• Extensive learning opportunities, such as professional training and certifications, soft skills development, free English courses, and trading workshops
• Health and life insurance for employees, spouses, and children, including vaccinations, tests, mental health care, and coverage for vision and dental care
• Generous time off, including 21 days of annual leave and paid sick leave
• Allowance for sports club memberships or other physical exercise activities
• Holiday flight tickets and accommodation coverage (within the yearly limit)
• Meal and transportation allowance
• Education allowance for your children’s school and kindergarten fees
• Outstanding team-building experiences and corporate parties

Your journey after applying:

1. TA interview (up to 30 minutes)
2. Technical Interview (1 hour)
3. Task Assessment (up to 5 days)
4. Task Assessment discussion (30 mins)
5. Behavioural interview (1 hour)

Please use your exness work email for internal applications and ensure to disclose any existing Conflict of Interest you may have.