A high-growth financial technology organisation in Estonia is seeking an experienced FX Quantitative Research Lead to develop quantitative frameworks supporting foreign-exchange pricing, market analysis, execution quality, and risk intelligence.

This is a technically demanding role for a quantitative professional who can combine mathematical modelling with practical understanding of electronic FX markets. You will work across quantitative research, engineering, trading, treasury, and risk functions.

Key Responsibilities

• Lead quantitative research initiatives focused on FX markets and electronic execution.
• Develop statistical models for volatility, liquidity, spreads, market behaviour, and execution quality.
• Analyse high-frequency and historical FX datasets to identify meaningful market patterns.
• Build models supporting pricing, hedging, forecasting, and risk-management processes.
• Develop scenario and stress-testing frameworks for currency-market conditions.
• Evaluate model performance and continuously improve analytical methodologies.
• Collaborate with engineers to productionise quantitative models and research tools.
• Work with trading and treasury teams to translate research findings into practical applications.
• Design analytical dashboards and reporting frameworks for quantitative market intelligence.
• Maintain rigorous documentation covering model assumptions, methodologies, and validation.
• Mentor quantitative analysts and contribute to the organisation’s broader research standards.

Candidate Profile

• 6+ years of experience in quantitative finance, FX research, financial engineering, trading analytics, or a related discipline.
• Advanced knowledge of statistics, probability, optimisation, and time-series analysis.
• Strong Python and SQL skills; experience with additional quantitative languages is valuable.
• Strong understanding of FX markets, derivatives, liquidity, and electronic trading.
• Experience handling large financial datasets.
• Master’s degree or PhD in Mathematics, Statistics, Computer Science, Physics, Economics, or Financial Engineering is advantageous.
• Strong communication skills with the ability to explain quantitative concepts to business stakeholders.

The Opportunity

You will work on complex problems spanning quantitative finance, foreign-exchange markets, data science, and financial infrastructure, contributing to the development of sophisticated analytical capabilities in Estonia.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!

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