Aleksei Fedotenkov Email & Phone Number

London, GB

London, England, United Kingdom

• Enhanced data integrity and accessibility by cleaning, restructuring, and transferring over 200K client records and approximately 40K policies into SQL for efficient analysis.
• Increased projected Net Income by a high 6-figure increase through an internally developed sensitivity analysis tool that optimized the insurance division’s risk strategies.
• Boosted agility in risk monitoring by shifting assessments from a 6-month cycle to weekly updates via a Python-based dashboard, improving decision-making timeliness.

Chester, England, United Kingdom

• Scored 10,000 UK public companies using MarketCapitalization, EBITDA Margin, and Free Cash Flow weighted on CAGR, successfullyidentifying the best-performing sectors.
• Conducted detailed research on the top 10 public sectors, analyzingrevenue recurrency, entry barriers, and technological obsolescence, which helped prioritizeacquisitions based on a qualitative explanation of £286.
• Developed a Python tool for extracting, aggregating, andconducting significant control screening via the Companies House API, addressing data gapsfor over 7,000 target private firms.
• Utilizing data from IBISWorld, Mark2Market, and Companies House, identified 1,032 potential acquisition targets that met specific investors’ criteriaregarding Growth rate, Free Cash Flow margin, CAGR, and qualitative.

Moscow, Russia

• Traded calendar and inter-market future spreads, benefitted from macroeconomic events or market inefficiencies
• Managed risk of opened spread positions, hedged volatility through butterfly and condor combinations
• Employed spread matrix, transitioned between spread combinations, executed arbitrage opportunities

Moscow, Russia

• Compiled P&L statements from general ledger entries, presented recommendations to CFO on optimizing report compilation
• Utilized technical skills to reverse engineer a script, synced managerial financial reports with general ledger entries
• Implemented a sorting algorithm, accelerated compilation of managerial reports, reduced labor required weekly by 3 hours
• Coordinated a team building event for 50 people, negotiated prices with catering contractors

Moscow, Russia

• Coordinated orders of over 1000 tons to establish new vegetable supply chain between Moscow and 2 southern regions
• Conducted weekly market research, interviewed competitors', helping team to make inform pricing decisions
• Negotiated a 1% reduction in supply-side prices, hedged against market volatility and met company's targeted commission
• Managed supply chain operations, ensuring timely delivery of goods to fulfil tenders of up to 500 tons

Master In Finance, Investment Banking & Private Equity

• Relevant subjects: Asset Pricing and Portfolio Decisions, Financial Statement analysis, AI & ML in Finance • Member of IE Private Equity.

Bachelor'S Degree, Economics

Activities and Societies: MOEX Conference: the future of FX• Relevant subjects: Corporate Finance, Dynamic Optimization in Finance.