Company Overview

The organisation operates within the intersection of financial technology, electronic trading, and quantitative financial markets. Its technology environment supports automated trading workflows, market data analysis, execution infrastructure, and data-driven financial decision-making.

The company emphasises technological reliability, analytical precision, and continuous improvement of trading systems. Its teams combine financial market expertise, quantitative analysis, and software engineering to support efficient electronic trading operations.

Role Summary

The Quantitative Trading Technology Analyst will support the analysis, monitoring, and evaluation of technology-driven trading systems and quantitative market processes.

The role focuses on examining trading data, evaluating execution performance, monitoring automated trading workflows, and identifying opportunities to improve system efficiency.

Working remotely within Estonia, the analyst will collaborate with quantitative researchers, software engineers, trading operations specialists, and financial technology professionals.

The successful candidate will bring together analytical thinking, programming knowledge, and an understanding of electronic financial markets to support the performance and reliability of quantitative trading infrastructure.

Key Responsibilities

• Analyse trading activity, execution records, and market data to identify performance patterns.

• Monitor automated trading workflows and investigate technical or operational anomalies.

• Support the evaluation of algorithmic trading strategies using historical and real-time market data.

• Assist with the analysis of execution quality, transaction costs, and trading performance indicators.

• Develop analytical reports and dashboards to monitor trading system performance.

• Work with quantitative researchers to validate analytical assumptions and trading model outputs.

• Use Python or comparable analytical tools to process financial market datasets.

• Support backtesting activities and performance evaluation of quantitative trading models.

• Investigate discrepancies between expected and actual execution outcomes.

• Collaborate with engineering teams to identify opportunities for improving trading infrastructure.

• Maintain documentation covering analytical methodologies, performance metrics, and system monitoring procedures.

• Assist with identifying operational risks affecting automated trading processes.

• Contribute to continuous improvements in market data analysis and trading technology workflows.

Requirements and Qualifications

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

• At least three years of experience in quantitative analysis, electronic trading, financial technology, or trading systems support.

• Strong Python programming skills and experience working with financial datasets.

• Understanding of financial markets, trading instruments, and electronic execution processes.

• Familiarity with algorithmic trading concepts, backtesting, and quantitative performance analysis.

• Experience with SQL and structured financial databases.

• Knowledge of statistical analysis and numerical modelling.

• Familiarity with market data feeds and trading system architecture is an advantage.

• Strong analytical reasoning and problem-solving abilities.

• Ability to communicate technical findings clearly to multidisciplinary teams.

• High attention to detail and the ability to work independently in a remote environment.

Benefits

• Flexible remote working arrangement within Estonia.

• Opportunity to work with quantitative trading technology and financial market infrastructure.

• Exposure to algorithmic trading, market data systems, and analytical technologies.

• Collaboration with experienced quantitative and software engineering professionals.

• Opportunities for technical advancement and professional development.

• An intellectually challenging environment focused on innovation, precision, and performance.

Application Instructions

Interested candidates should submit an updated CV highlighting their experience in quantitative analysis, trading technology, or financial engineering. Applications should demonstrate relevant programming skills, financial market knowledge, and experience analysing trading data. Candidates are encouraged to provide examples of analytical projects, backtesting work, or trading system performance improvements.

Are you interested in this position?

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