Quantitative Researcher

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. Test assignment
3. Tech interview (90 minutes)
4. Behavioural interview (60 minutes)

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