Quantitative Research Specialist
Finance
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Languages
Russian
English
German
Skills
Python
Data analysis
Algorithms
Machine learning
Linux
Git
Data visualization
Probability theory
Mathematical statistics
Numpy
Matplotlib
Work experience - 5 years
| Finance | Researcher |
|---|---|
| Experience: 3 years | Developed and implemented a pipeline for validating decisions, ensuring automation and quality control of models. Solved complex research tasks, analyzed and implemented modern methods of quantitative modeling and machine learning. Prepared technical documentation and participated in the integration of solutions with infrastructure. Participated in formalizing requirements and presenting research results. Proposed and implemented improvements in research processes. Organized and mentored a team, distributed tasks, controlled deadlines and quality, and supported expertise development. Developed and maintained a pipeline for quantitative validation. Implemented standards and processes for review and exchange of findings. Coordinated interaction between research, development, and business for the implementation of solutions. Led complex research and supported key pipelines. |
| Finance | Data Scientist |
|---|---|
| Experience: 1 year | Developed and implemented a system for quantitative analysis, which increased automation and accuracy of decision-making. Conducted data collection, processing, and analysis to identify patterns and develop recommendations. Researched and assessed the effectiveness of new methods and algorithms for analyzing data. Developed, tested, and optimized strategies, overseeing the entire process from initial concept to implementation. Prepared reports and visualizations to support conclusions using quantitative methods. |
| Finance | Data Scientist |
|---|---|
| Experience: 1 year | Worked on a project basis, developing a system for predicting financial instrument values using advanced analytical methods. Implemented a process for data collection, automation, filtering, and preprocessing of large volumes of financial data to create datasets for model training and validation. Developed and tested algorithms for forecasting financial trends. Conducted evaluations of model quality and stability, analyzing forecast interpretability. |
Education
| Finished | x2 | Kazan Federal University / Information Technology |
Languages
Russian
English
German