Company Overview

The hiring organisation operates within the financial services and foreign exchange industry, using financial data and analytical technologies to support market research and informed decision-making. Its analytical teams work with currency-market data, economic indicators, and financial trends to identify meaningful patterns and improve market intelligence.

Role Summary

The Data Scientist will transform complex foreign exchange datasets into actionable insights that support market analysis, currency research, and strategic decision-making. The role combines statistical analysis, machine learning, and financial-market knowledge to investigate exchange-rate behaviour, identify market patterns, and improve the quality of analytical outputs.

The successful candidate will work with research, trading, and technology teams to develop reliable data products and communicate findings clearly to technical and non-technical stakeholders.

Key Responsibilities

• Collect, clean, and analyse FX market data, including currency prices, spreads, volatility measures, and trading activity.

• Develop statistical models to identify patterns and relationships within foreign exchange datasets.

• Apply machine learning techniques to investigate currency-market behaviour and changing market conditions.

• Engineer meaningful features from historical prices, economic indicators, and relevant financial variables.

• Build reproducible analytical pipelines for processing and validating market data.

• Evaluate model performance using appropriate statistical metrics and out-of-sample testing.

• Create dashboards, visualisations, and research reports to communicate analytical findings.

• Collaborate with FX researchers and quantitative analysts to investigate market hypotheses.

• Monitor data quality and model performance, documenting limitations and potential sources of bias.

• Maintain clear documentation of analytical workflows, assumptions, and results.

Requirements and Qualifications

• Bachelor’s or master’s degree in Data Science, Statistics, Mathematics, Computer Science, Econometrics, or a related discipline.

• Professional experience in data science, financial analytics, or market-data analysis.

• Strong proficiency in Python and relevant libraries such as pandas, NumPy, and scikit-learn.

• Solid understanding of statistical inference, regression, time-series analysis, and model evaluation.

• Familiarity with SQL and large-scale structured datasets.

• Understanding of foreign exchange markets, currency pairs, and macroeconomic market drivers.

• Experience with data visualisation tools and machine learning workflows.

• Strong problem-solving, communication, and analytical documentation skills.

Benefits

• Fully remote working arrangement within Estonia.

• Opportunity to apply data science to international currency markets.

• Collaboration with multidisciplinary research and technology teams.

• Professional development in financial analytics, machine learning, and market intelligence.

• A data-driven working environment that values reproducibility and analytical integrity.

Application Instructions

Interested candidates should submit an up-to-date CV and cover letter through the official application channel provided by the hiring organisation. Applicants may include a portfolio, Git repository, or relevant data science project demonstrating their experience with financial datasets, statistical modelling, or machine learning.

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