Quantitative Researcher

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 matters

A Quantitative Researcher is responsible for conducting data-driven research and advanced quantitative analysis to support the development and optimization of financial products and strategic initiatives. The role focuses on analyzing financial market data, building mathematical/statistical models/logics, econometric and machine learning models, validating hypotheses, and providing analytical insights to inform product and business decisions, particularly in support of expansion into new markets.

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

• Analyze financial market data and industry trends to identify opportunities for new projects and product enhancements.
• Conduct competitor analysis, including trading conditions and related parameters, to benchmark product offerings and support strategic positioning.
• Perform deep analysis of complex financial datasets, including market microstructure data where applicable.
• Design, build, and validate econometric and machine learning models, including robust time-series models using modern approaches.
• Apply statistical and econometric techniques to extract insights and improve forecasting and decision-making capabilities.
• Ensure model robustness, reliability, and alignment with business objectives.
• Formulate research hypotheses based on financial and market data.
• Design experiments and analytical approaches to test hypotheses and validate findings.
• Translate quantitative findings into actionable recommendations for product and business stakeholders.
• Provide analytical input to support the planning and launch of new products and initiatives, including expansion into new markets.
• Collaborate with cross-functional stakeholders (developers, analysts, QA, project owners) to ensure research outcomes are aligned with product and strategic goals.
• Use SQL, Python/R, and their relevant libraries to manipulate, analyze, and visualize data.
• Work with large and complex datasets to ensure data integrity, reproducibility, and analytical accuracy.
• Document methodologies, assumptions, and model limitations to ensure transparency and knowledge sharing.
• Support productionization of models in collaboration with engineering teams
• Prepare clear, structured analytical reports and presentations for internal stakeholders.
• Communicate complex quantitative concepts and findings effectively.
• Support stakeholders in interpreting analytical results and understanding associated risks and assumptions.

Who we’re looking for

• Bachelor’s or Master’s degree in Mathematics, Statistics, Econometrics, Data Science, Computer Science, Finance, or a related quantitative field.
• 1+ years of experience as a Quant, Data Analyst or Data Scientist.
• Strong understanding of financial markets.
• Knowledge of asset pricing, financial econometrics, derivatives, and market microstructure is a plus.
• Proficiency in SQL, Python/R, and their relevant libraries.
• Strong understanding of statistics and econometrics.
• Experience in building robust mathematical, statistical or time-series models
• Proven experience in analyzing complex datasets; experience with market microstructure data is beneficial.
• Advanced English
• Strong analytical and problem-solving skills.
• Exceptional written communication skills.
• Ability to work independently and collaboratively in a cross-functional international team environment.
• High attention to detail and commitment to data accuracy.

What we offer along the way

• 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

What your journey looks like

1. Intro call with Recruiter (30 minutes)
2. English check (if needed)
3. Test assignment
4. Tech interview (90 minutes)
5. Behavioural interview (60 minutes)

What it's like here

We share the real Exness experience - our people, ideas, moments, and everything in between.

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.