Company Overview

The hiring organisation works within the financial technology and foreign exchange industry, using financial data and analytical methods to support currency-market research. Its research activities combine statistical modelling, economic indicators, and market data to improve the consistency and quality of FX analysis.

Role Summary

The FX Research Analyst will focus on quantitative currency research, developing analytical models to investigate exchange-rate behaviour, measure market relationships, and evaluate forecasting methods. The role bridges financial-market knowledge and data analysis, helping research and trading stakeholders understand the drivers and limitations of currency forecasts.

The ideal candidate has a strong quantitative foundation, practical programming skills, and the ability to translate model outputs into meaningful financial insights.

Key Responsibilities

• Collect, clean, and analyse historical exchange-rate, macroeconomic, interest-rate, and volatility data.

• Develop statistical models to investigate currency trends, volatility patterns, and relationships between financial variables.

• Test FX forecasting methods using appropriate historical validation and out-of-sample evaluation.

• Build reproducible research workflows using Python, R, or comparable analytical technologies.

• Analyse model performance using suitable statistical metrics and document limitations, assumptions, and potential sources of bias.

• Investigate relationships between currency pairs, interest-rate differentials, commodity prices, and economic indicators.

• Produce charts, research summaries, and quantitative reports for technical and non-technical stakeholders.

• Maintain version-controlled research code and reliable data-processing procedures.

• Collaborate with research, technology, and risk teams to improve analytical tools and research quality.

Requirements and Qualifications

• Bachelor’s degree in Mathematics, Statistics, Econometrics, Computer Science, Finance, or another quantitative field.

• Experience in quantitative research, financial data analysis, FX analytics, or statistical modelling.

• Strong Python or R skills, including experience with data-analysis libraries and time-series techniques.

• Understanding of regression analysis, forecasting, statistical testing, and model validation.

• Familiarity with foreign exchange markets, exchange-rate drivers, and financial time-series data.

• Experience with SQL, data visualisation, or version-control systems is an advantage.

• Ability to explain quantitative findings clearly and distinguish statistical relationships from causal conclusions.

• Strong attention to data quality, analytical reproducibility, and research documentation.

Benefits

• Fully remote working arrangement within Estonia.

• Opportunity to apply quantitative methods to international currency markets.

• Professional development in financial modelling, statistical research, and FX analytics.

• Collaboration with multidisciplinary financial and technology teams.

• An environment that values rigorous analysis, reproducible methods, and continuous improvement.

Application Instructions

Interested applicants should provide a CV and cover letter through the official application channel specified by the hiring organisation. Candidates may also submit a portfolio, code repository, or short research project demonstrating relevant experience with financial time series, currency forecasting, or quantitative modelling.

Are you interested in this position?

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