Daniel Levy
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Daniel Levy

WORK EXPERIENCE
Capitol Hartford, LLC May 2019 – July 2019, April 2020-Present
Real Estate Investment Analyst Hartford, CT
• Used ARGUS to determine current rent roll, building expenses, revenues, tenant improvements, loan financing, property valuation, future resale value of properties, for four multi-family buildings composed of a total of 166 units.
• Created property pro forma models in Excel to determine NOI, IRR, and projected cash flows for the four multi-family buildings.
• Collaborated on building leverage process by reviewing a five-year mortgage of a 10-unit building for refinancing and utilizing remaining equity for a 25 % down payment on a new 18-unit apartment building.
• Researched and inspected residential buildings for investment, showed vacant units to prospective renters, updated lease renewals, and facilitated new technology system (Buildium) to optimize profits.
• Analyzed capitalization rate for building investment valuations via searching past sale prices and net operating incomes to determine profitability.
Deutsche Bank July 2019 – March 2020
Analyst Jacksonville, FL
• Conducted in-depth transaction analysis of high-risk global banks and entities with intention of mitigating overall risk exposure to Deutsche Bank Trust Company Americas by millions of U.S. dollars.
• Worked with excel macros to search large sets of data to determine areas within a case that needed to be investigated.
• Composed thorough 2,000 plus word transaction reports within excel containing recommendations in relation to whether investigation warranted the additional filing of a suspicious activity report or if the investigation could be mitigated.
• Utilized the program Tableau in order to track case production hours, overall individual case quality, and analyst rank.
• Achieved, maintained and surpassed 100% production target as to completed investigations within a calendar month.
• Collaborated with analytics team, senior management, and other internal departments to help enhance and accelerate case investigation processes by 20%.
• Earned rank 8th of 82 total Analysts for total cases closed in the final full calendar month of work.
The Invest Like the Street Analyst Program January 2019 – June 2019
Analyst Fairfield, CT
• Participated in a semester long program covering the fundamentals of value investing, financial analysis, financial modeling, credit analysis and equity research.
• Completed multiple reading and hands-on assignments covering topics such as financial analysis & accounting, business model analysis, valuation, discounted cash flow modeling, M&A/LBO modeling and compiling research.
• WD-40 Company: Created a full discounted cash flow model and full projection model on WD-40, in addition to a detailed business analysis.
University of Florida Finance Department April 2018 – May 2019
Student Researcher Gainesville, FL
• Responsible for researching various crypto currencies on a weekly basis to provide information for the current research paper topic.
• Assisted in reaching statistics for crypto currency industry in order to establish the volatility of crypto usage. Statistics included: hard cap, soft cap, origin of country, crowd surfing time frame, and unique statistics.
• Researched over 1000 Initial Coin Offerings (ICO) in order to provide input to the authors and name credited in published paper “The Wisdom of Crowds in Fin Tech: Evidence from Initial Coin Offerings.”
• Identified that crowd funding overcomes unsuccessful ICOs by utilizing an aggressive initial token subscription from investors. Furthermore, ICO’s in the secondary real estate market have more opening success.
EDUCATION
University of Florida, Warrington College of Business August 2015-May-2019
Bachelor of Science, Finance Gainesville, FL
GPA: 3.4, Minor: Real Estate
ADDITIONAL SKILLS
• Language: Spanish (Professional working proficiency)
• Technical Skills: Microsoft Excel (VLOOKUP, Pivot Table, DCF/LBO Modeling), Tableau, Actimize, and QuickBooks
• Licenses: ARGUS Enterprise Certification (ID: EKP-0142-9155-9283-0533).