Company Overview

Our organisation operates within the financial technology and quantitative analytics industry, supporting data-driven financial services, digital trading infrastructure, and advanced financial modelling solutions. We combine financial research, statistical analysis, and modern computing technologies to improve financial decision-making and operational performance.

Our environment encourages analytical thinking, technical innovation, and the application of quantitative methods to complex financial challenges.

Role Summary

We are looking for a highly analytical Quantitative Financial Modelling Specialist to develop, evaluate, and maintain mathematical models supporting financial analysis and technology-driven financial operations.

The successful candidate will work with financial datasets, statistical methodologies, and computational tools to identify patterns, evaluate financial relationships, and develop models that support market analysis, risk assessment, and financial forecasting.

This position requires strong mathematical knowledge, programming capabilities, and an understanding of financial markets and quantitative research methodologies.

Key Responsibilities

• Develop quantitative models for financial forecasting and analytical applications.

• Analyse historical and real-time financial datasets.

• Apply statistical techniques to identify financial trends and relationships.

• Build and validate mathematical models used in financial analysis.

• Conduct scenario analysis and sensitivity testing.

• Develop Python-based analytical tools and automated modelling processes.

• Evaluate model performance and identify opportunities for improvement.

• Collaborate with financial analysts, software engineers, and research professionals.

• Prepare technical research reports and quantitative findings.

• Support the development of financial risk measurement methodologies.

• Maintain documentation covering model assumptions, methodologies, and validation procedures.

• Research new quantitative techniques applicable to financial technology.

Requirements and Qualifications

• Bachelor’s or Master’s degree in Mathematics, Statistics, Financial Engineering, Economics, or a related discipline.

• Professional experience in quantitative analysis, financial modelling, or data science.

• Strong knowledge of probability, statistics, and mathematical modelling.

• Advanced proficiency in Python, R, or comparable analytical programming languages.

• Experience working with SQL and large financial datasets.

• Understanding of financial markets and quantitative research principles.

• Familiarity with time-series analysis and forecasting techniques.

• Strong numerical reasoning and problem-solving abilities.

• Excellent technical documentation and research communication skills.

• Ability to work independently within a distributed professional team.

Benefits

• Fully remote working opportunity within Estonia.

• Opportunity to work on advanced quantitative financial projects.

• Exposure to modern financial analytics and computational technologies.

• Continuous technical and professional development.

• Collaborative international research environment.

• Flexible remote working arrangements.

Application Instructions

Candidates should submit an updated CV outlining their experience in quantitative research, financial modelling, statistical analysis, or financial data science. Applicants are encouraged to highlight relevant modelling projects, programming expertise, and experience working with complex financial datasets.

Are you interested in this position?

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

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