Quantitative Researcher

Responsibilities

• Analyze financial market data and industry trends to identify opportunities
• Conduct competitor analysis and benchmark product offerings
• Perform deep analysis of complex financial datasets and market microstructure
• Design, build, and validate econometric and machine learning models
• Apply statistical and econometric techniques to improve forecasting
• Formulate research hypotheses and design experiments to test them
• Translate quantitative findings into actionable recommendations for stakeholders
• Collaborate with developers, analysts, and QA to align research with strategic goals
• Use SQL, Python, or R to manipulate, analyze, and visualize data
• Document methodologies, assumptions, and model limitations
• Support productionization of models in collaboration with engineering teams
• Prepare structured analytical reports and presentations

Requirements

• Bachelor's or Master's degree in Mathematics, Statistics, Econometrics, Data Science, Computer Science, Finance, or a related field
• 1+ years of experience as a Quant, Data Analyst, or Data Scientist
• Strong understanding of financial markets
• Proficiency in SQL, Python, or R and their relevant libraries
• Strong understanding of statistics and econometrics
• Experience building mathematical, statistical, or time-series models
• Advanced English proficiency
• Strong analytical and problem-solving skills

Preferred Qualifications

• Knowledge of asset pricing, financial econometrics, derivatives, and market microstructure
• Experience with market microstructure data

About the Company

Exness is a leading trading broker that combines scale and technology to serve over 1 million clients worldwide. Recognized globally as a Best Place to Work, Exness is a people-first fintech company operating across 13 countries.