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Фінансовий менеджер

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Фінансовий менеджер, фінансовий аналітик, бухгалтер, спеціаліст зі складання звітності
Вік:
23 роки
Місто проживання:
Переяслав
Готовий працювати:
Київ

Контактна інформація

Шукач вказав: ТелефонЕл. пошту

Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.

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YAROSLAV RETUNSKYI
Financial Analyst
[відкрити контакти](див. вище в блоці «контактна інформація») ⚲ Kyiv, Ukraine
[відкрити контакти](див. вище в блоці «контактна інформація») LinkedIn: link

PROFESSIONAL EXPERIENCE SKILLS

KPMG-Ukraine Ltd. · Kyiv, Ukraine Financial Accounting, reporting,
Analyst 2025 – Present Financial due diligence,
• Completed 5+ FDD engagements across full project lifecycle, from processing raw Budgeting & forecasting,
financial data to delivering findings in investment reports Financial modelling,
IFRS and IAS
• Prepared and analysed Profit or Loss statement, Cash flow statement and Balance
Sheet Tools Excel (PivotTables,
• Supported the forecasting and modeling of financial statements PowerQuery),
• Performed audit procedures on industry projects across multiple areas: receivables, PowerBI
payables, fixed assets, cash, expenses etc. PowerPoint,
SQL
• Maintained communication with a client to resolve outstanding matters
• Coached and delegated work to junior colleagues Soft skills Analytical thinking
• Conducted financial ratio analysis Attention to detail
• Analysed debt and debt-like items impacting purchase price and net debt position Teamwork
• Reviewed financial records for compliance with IFRS and National UAS CERTIFICATIONS
• Reconciled management accounts with statutory financials
• Tested sales data and reviewed customer contracts ACCA
• Consolidated large datasets using advanced Excel techniques (PivotTables, Power Financial accounting (F3) – passed in
Query) 2025
Financial reporting (F7) – in progress
Auditor 2024 – 2025
(exam is booked)
• Participated in the statutory audit of banks, ensuring regulatory and IFRS compliance
CFI
• Loan Portfolio & Controls: verified borrower metrics, interest calculations, and
internal controls to ensure data integrity and proper financial disclosure CFI Financial Analysis and Modeling
Professional Certificate – passed in
2026
PWC SDC · Lviv, Ukraine 2023 – 2024
Intern EDUCATION
• Primary Documentation: performed substantive testing of source documents to verify
Master’s degree, 2020 – 2026
transaction accuracy
Accounting and taxation
• Report Footing: executed mathematical accuracy checks (footing/cross-check) for
financial statements Ivan Franko National University of Lviv ·
Lviv
• TB Reconciliation: reconciled trial balance data with final financial reports to ensure
data consistency LANGUAGES
• Audit Support: provided analytical and administrative assistance to senior colleagues
throughout the audit. English: B2 (EF SET score: 61/100), link
Ukrainian: Native
CONTINUING EDUCATION
KEY ACHIEVEMENTS
CFI Financial Analysis and Modeling Professional Certificate – 2026 (Link)
CFI and LinkedIn Learning. The certificate includes 7 courses and covers: advanced Excel, ✓ Participated in the due diligence
forecast and budgeting, dynamic data tables and dynamic arrays, basics of SQL, power phase of 5+ M&A transactions
query and pivottable functionality ✓ Received an award from KPMG for
outstanding performance on a M&A
Introduction to Business Valuation – 2026 (Link)
project
CFI and LinkedIn Learning. Key takeaways: valuation techniques, enterprise and equity
value, UFCF, Discrete Forecast and Terminal Value, WACC, Capital Asset Pricing Model, INTERESTS
Beta, NPV and IRR, Relative Valuation.
• Data analysis
Discounted Cash Flow (DCF) Valuation Modeling – 2026 (Link)
CFI and LinkedIn Learning. Key takeaways: DCF theory, WACC, Sensitivity analysis. • AI
Building a Three-Statement Operating Model – 2026 (Link) • Economics
Chris Reilly and LinkedIn Learning • Sport
Complete Guide to Power BI for Data Analysts by Microsoft Press (Link)
Microsoft press and LinkedIn Learning. Key takeaways: import, transform, and cleanse
data from various sources, building data models using relationships, DAX formulas and
creating visualizations and reports.

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