Company Overview

The organisation operates within the fintech and digital financial services sector, using financial technology, quantitative analysis and data-driven methodologies to support the development of reliable financial products. Its activities involve financial modelling, analytical systems, risk evaluation and the continuous improvement of technology-enabled financial processes.

The organisation places importance on analytical accuracy, transparent financial methodologies and dependable decision-support systems. It seeks professionals who can combine financial knowledge with technical analysis to improve the quality of financial models and business decisions.

Role Summary

The Financial Model Validation Analyst will assess the accuracy, reliability and performance of financial models used across financial products, analytical platforms and business decision-making processes.

The role involves reviewing model assumptions, testing calculations, evaluating input data and identifying potential weaknesses in model design or performance. The successful candidate will work closely with quantitative analysts, finance specialists, data professionals and technology teams to ensure that financial models produce consistent, explainable and dependable results.

This position is particularly suited to an analytical professional with an understanding of financial modelling, quantitative methods and model testing within a fintech or financial services environment.

Key Responsibilities

• Review financial models used for forecasting, financial analysis, pricing and business performance evaluation.

• Validate model calculations, assumptions, input variables and underlying methodologies.

• Conduct independent testing to identify computational errors and inconsistencies.

• Assess the accuracy and completeness of financial datasets used in model development.

• Perform sensitivity analysis to understand how changes in assumptions affect model outputs.

• Evaluate model performance against historical financial data and relevant business benchmarks.

• Identify limitations, weaknesses and potential sources of bias in financial models.

• Work with quantitative and data science teams to investigate unexpected model outcomes.

• Develop validation procedures and structured testing frameworks for financial models.

• Prepare technical documentation outlining validation findings, testing approaches and recommendations.

• Support the review of forecasting models and financial decision-support tools.

• Monitor model performance following implementation and recommend updates where necessary.

• Assist with the implementation of model governance procedures and validation standards.

• Communicate analytical findings to finance, risk management and technology stakeholders.

• Contribute to improvements in financial modelling accuracy, transparency and operational consistency.

Requirements and Qualifications

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

• Experience in financial modelling, quantitative analysis, model testing or financial analytics.

• Strong understanding of financial statements, forecasting techniques and financial performance metrics.

• Knowledge of statistical methods, quantitative modelling and analytical validation techniques.

• Proficiency in Microsoft Excel and experience with analytical tools such as Python, R, SQL or similar technologies.

• Ability to review complex calculations and identify inconsistencies in model outputs.

• Understanding of financial data quality, model assumptions and analytical limitations.

• Strong numerical reasoning and attention to detail.

• Ability to prepare clear technical reports and communicate findings to different stakeholders.

• Experience in fintech, banking, investment services or financial risk analysis is an advantage.

• Ability to work independently, manage deadlines and maintain accurate analytical documentation.

Benefits

• Fully remote working arrangement within Estonia.

• Opportunity to work on financial modelling and quantitative validation projects.

• Exposure to modern fintech analytics systems and financial decision-support technologies.

• Professional development in quantitative finance, statistical analysis and model governance.

• Collaboration with finance, data science and technology specialists.

• Opportunities to contribute to improvements in financial modelling methodologies.

• Supportive environment that encourages analytical thinking and continuous professional development.

Application Instructions

Interested applicants should submit an updated CV outlining their academic background, financial modelling experience and relevant analytical capabilities. Candidates should highlight their experience with quantitative methods, financial forecasting, statistical analysis and programming tools used in financial model development or validation.

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