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Tom Kellard

Tom Kellard

Economics undergraduate
London, Greater London

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About Tom Kellard:

Economics undergrad graduating in June looking for internships 

Experience

Standard DAO Los Angeles, USA Income-Generating Treasury of Standard Assets September 2022 Investment Analyst ● Conducting research on blockchain related products specifically how they fit in with DeFi and regulations in the US. ● Performing Monte Carlo Simulations on Python to predict the price of Bitcoin and presenting to the team on MATLABS. ● Led a team of 4 professionals to identify revenue potential and optimization as key drivers of future portfolio strategy. Novastone Capital Advisors – NCA SF12 Fund London, UK Acquiring a majority stake in a single UK-based engineering service company with £5-50m revenue. May 2022 – September 2022 Investment Analyst ● Analyzed investment memorandums prepared by brokers and summarize whether a deal is worth pursuing (£10M-£50M) ● Monitored an in-depth understanding of the market at macro and micro levels to identify trends and inform investment decision making and presented findings in client meetings and to senior leadership to help determine acquisition targets. ● Identified acquisition targets' markets and calculate research-backed valuation recommendations on Bloomberg. Spreadex St. Albans, UK Financial Trading Platform April 2022 – May 2022 Financial Trader ● Comparing securities in terms of their Sharpe-ratio and pricing options by applying the Black Scholes formula. ● Executing client trades and quantifying risk exposure for indices, FX, commodities and CFD’s whilst hedging out risk. ● Streamlined the client trading process which resulted in customer satisfaction score increasing by 30%. ● Trading direct market access on a wide range of products including: UK/US equities, commodities, FX and options trading. ● Utilized the DuPont formula to value companies based on ROE. Coller Capital London, UK One of the world's leading investors in private equity's secondary market June 2022 - April 2022 Investment Analyst Placement Year ● Performed valuation modeling on each investment opportunity and carried out sensitivity analysis using DCF models to address risks and produce differentiated scenarios to test IRRs and investment hurdles. ● Used Python to code Monte Carlo Simulations, creating iterations to predict the share price of Meltwater. ● Assisted the deal team completing a GP led transaction alongside Mid Europa Partners in Regina Maria, the leading integrated private healthcare provider in Romania with 48 clinics, 8 hospitals and 40 laboratories. ● Re-designed the revenue forecast model to reduce budget preparation time by 35% in 4 months. ● Conducting due diligence on a GP led transaction alongside Montagu in Wireless Logic, a leading European machine-tomachine over the FY12-21E Period, driven by double digit organic growth and the successful completion of 12 acquisitions

Education

University of Sheffield - Economics 

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