
Леонид Кононенко
@0005975
I analyze financial and regulatory data using Python, SQL, econometrics, and statistical modeling.
What I'm looking for
I'm an Applied Mathematics student on the Data Analysis track at RTU MIREA, focused on economics, econometrics, and practical analytical work.
At BFT LLC, I studied statistical-arbitrage relationships across 18 FX and adjacent-market instruments. I built a SQLite database, prepared 3,407 daily observations, and tested 153 instrument pairs using Dickey–Fuller and Engle–Granger methods.
I found that strong linear relationships did not reliably indicate stable cointegration: 30 pairs were cointegrated at the 5% level, while rolling-window stability held in only 3–21% of cases. I also built multivariate regression models and documented the work in a detailed report with figures, tables, formulas, and code.
Previously at IT Class LLC, I traced regulatory chains, reconstructed links between requirements and source documents, and prepared LaTeX documentation using Python and Jira. I've also built a business financial model with 1- and 10-year forecasts, risk assessment, and an investment memorandum.
Experience
Work history, roles, and key accomplishments
Analyst (analytics internship)
BFT LLC
Sep 2026 - Present (0 months)
Studied statistical dependencies between FX and adjacent financial market instruments for statistical arbitrage. Collected and aligned 18 instruments, built a relational SQLite database, and conducted stationarity, correlation, and cointegration analyses.
Analyst
IT Class LLC
Mar 2026 - May 2026 (2 months)
Traced regulatory chains by analyzing provisions in regulatory documents and reconstructing links between requirements and their sources. Systematized results and prepared documents in LaTeX, with task tracking in Jira and data processing in Python.
Education
Degrees, certifications, and relevant coursework
RTU MIREA
Bachelor of Science, Applied Mathematics
2025 - 2029
BSc in Applied Mathematics with a Data Analysis track, including core courses in mathematical statistics, econometrics, machine learning, databases, and programming in Python and SQL.
Physics and Mathematics Lyceum, NRNU MEPhI
Secondary Education, Mathematics and Physics
Secondary education with advanced training in mathematics and physics, reaching final rounds of subject olympiads.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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