With over 2,000 employees of 98 nationalities, Exness is the place for global teamwork, incredible leadership, a learning culture, and constant development. Unlimited by time zones, Exnessians from around the world have worked seamlessly together since 2008 to provide our traders with the best possible trading experience.
Your role at Exness:
To collect, process, and analyze data to generate actionable insights that support data-driven decision-making across the organization. The role involves identifying trends, uncovering patterns, 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.
- 2-4 years of hands-on experience in data analysis or a related field.
- Experience working in Agile environments or collaborating with development teams is a plus.
- Proficiency in SQL
- Strong knowledge of Python (pandas, visualization and ML packages)
- Experience with Spark would be a plus
- Experience with Metabase and/or Grafana would be a plus
- Understanding of statistical methods, predictive modeling, and machine learning techniques.
- Ability to perform exploratory data analysis (EDA) and hypothesis testing.
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:
- First interview (up to 30 minutes)
- English Assessment (20 minutes)
- Task Assessment (1 hour)
- Final interview with your future team (1 hour)
Please note: We occasionally amend or withdraw Exness jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Exness/Exness Group companies around the world. Exness Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Exness. Anyone who demands such a fee is not an authorized Exness representative and you are strongly advised to refuse any such demand.
At Exness, we're an equal opportunity employer where every individual is valued. No matter your race, color, religion, sex, national origin, sexual orientation, gender identity or disability, we welcome you. As an international fintech company, we embrace the richness of our diverse team, respecting each individual and promoting gender equality for all genders in our workforce.
