Senior Data Analyst

Our data-driven team, specializing in Anti-Financial Crime Research, is looking to hire a Data Analyst. Their mission is to detect abuse patterns, uncover insights, and enhance security measures to protect our products and customers.

They work at the intersection of data science, analytics, and cybersecurity, leveraging large datasets to identify suspicious activities and prevent financial crime. They believe in a collaborative and supportive team environment, where every member contributes ideas, challenges assumptions, and continuously learns from one another. You’ll be working with top professionals in the field, sharing knowledge, and developing cutting-edge solutions together.

The starting salary mentioned is an indicative starting number, and the final amount will depend on the personal tax specifics and level of seniority determined during the interview process. This is the base salary only, and the total compensation will also include the performance-based bonus and benefits/allowances.

You will

• Analyze large datasets to identify abuse patterns, anomalies, and suspicious activities.
• Develop data-driven models, dashboards, and reports to support decision-making.
• Work closely with abuse prevention, risk management, and engineering teams to improve security strategies.
• Research new abuse techniques and emerging threats, adapting our detection methods accordingly.
• Automate and optimize data processing pipelines to enhance operational efficiency.
• Collaborate in a dynamic and friendly environment, where knowledge-sharing and teamwork drive our success.

What makes you a great fit

• Excellent data-analysis skills, 5 years or more of BI or analytics experience.
• Strong experience in SQL, Python (Pandas, NumPy, Scikit-Learn), and data visualization tools (e.g., Plotly, Tableau).
• Good understanding of mathematical statistics and probability theory: correlations, effects, and anomaly detection.
• Ability to translate complex data findings into actionable insights.
• Strong analytical mindset, problem-solving skills, and attention to detail.
• Ability to organize and prioritize tasks efficiently and to handle multiple, simultaneous deadlines.
• Excellent verbal and written communication skills, and upper-intermediate written and spoken English.

Will be considered as an advantage

• Wide experience with abuse detection, anomaly detection, and risk assessment techniques.
• Experience working with large datasets and real-time data streams.
• Previous experience in financial services, fintech, or cybersecurity.

What we offer along the way

• The starting salary mentioned is an indicative starting number, and the final amount will depend on the personal tax specifics and level of seniority determined during the interview process. This is the base salary only, and the total compensation will also include the performance-based bonus and benefits/allowances.
• Competitive and attractive compensation.
• Extensive learning opportunities, such as professional training and certifications, soft skills development, free English courses, and trading workshops.
• Flight tickets, hotel or apartment accommodation for your first month, migration support, and legal help for you and your family (if relocating).
• 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.
• Education allowance for your children’s school and kindergarten fees.
• Access to our very own sports club with dedicated coaches, free Sanctum Club memberships for you and your spouse, corporate SUPs, jet skis, etc.
• A branded company car (if relocating) with a parking space near the office.
• Outstanding team-building experiences and Exness community gatherings.

Your journey after applying

• TA Interview (30 minutes).
• Technical Interview (1 hour).
• Test Task.
• Final Interview (1 hour).

Sounds like you? Apply.

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.