At Exness, we are not just a leading trading broker—we’ve reimagined what it takes to be a leader. With 40M+ trades a day and 2,000+ people across 13 countries, we combine scale, care, and real tech to make trading better for 1M+ clients worldwide.
Recognised globally as a Best Place to Work, we’re a people-first company where long-term wins always matter more. As part of our team, you will shape the future of fintech with real technology, care, and purpose.
Why this role mattersAs a Data Analyst, you will work closely with stakeholders to provide reliable data, meaningful insights, and analytical solutions. This includes developing dashboards and visualizations, preparing datasets and analytical reports, supporting A/B testing, and contributing to the creation of models that help detect fraud and improve verification efficiency. Your work will directly influence operational performance and strategic initiatives within the Payments and KYC domains.
The role is based in our office in Limassol, Cyprus. In case of relocation, we offer full relocation support for you and your family to make your move smooth and worry-free.
What you'll actually do- 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
- 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.
- Strong proficiency in SQL, including experience with analytical databases (Vertica, PostgreSQL, ClickHouse).
- Solid knowledge of Python (pandas, data manipulation, basic visualization, and common analytical/ML libraries).
- Strong understanding of statistical analysis, including descriptive statistics, hypothesis testing, confidence intervals, statistical significance, and experiment evaluation.
- Ability to build simple machine learning models (e.g., classifiers, scoring models, logistic regression, tree-based models) for analytical and operational use cases.
- Ability to perform exploratory data analysis (EDA) and draw actionable insights from complex datasets.
- 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
- Competitive salary and annual performance bonus
- Full relocation support for you and your family — flights, housing, visas, and legal assistance included
- Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind
- Unlimited learning opportunities: external courses, English lessons, career and leadership development
- Education allowance covering school and kindergarten fees
- 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave
- Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones
- “Get to know Team” trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar
- Employee share scheme — grow with us
- Branded MINI Cooper Countryman company car and private parking
- Free in-house sports clubs, Sanctum Club gym access, and jet skis
- Access to a Corporate doctor
- Exclusive discount program with cafes, gyms, and local services
- Expat tax perks: up to 50% income tax exemption
- Support with the naturalisation process for relocated employees
- Intro call with Recruiter (30 minutes)
- English check (if needed)
- Tech interview (90 minutes)
- Behavioural interview (60 minutes)
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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.
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What We Do
Exness Group is a global multi-asset broker that was founded in 2008 with the mission to reshape the online trading industry. We aim to maximize our client's potential when trading the markets by offering better-than-market conditions on currencies, crypto, stocks, indices, metals, and commodities.Our fresh scientific and ethical approach has resonated with traders around the world, and the company has gone from strength to strength, with trading volumes hitting new monthly records in 2023 at $3 trillion from an active client base of 414,502+We think business and act human. Our growing #ExnessFamily has more than 2,000 employees in offices located in Asia and Europe. Exness is the place for global teamwork, incredible leadership, a learning culture, and constant development. We are constantly expanding into new markets, and we're looking for a passionate team to help us grow. If you are looking for a new challenge and want to be a part of the future of online trading, please check out our open positions
