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Veljko Djordjevic

Veljko Djordjevic

Investment banking analyst

Banking / Loans

London, Greater London

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About Veljko Djordjevic:

.  I aspire to significantly advance my career by thoroughly understanding the banking and real estate industry, particularly Investment Banking. This sector captivates me due to its analytical rigor, the necessity for structured decision-making, the rapid learning opportunities it presents, and the challenges it poses within the dynamic environment of a leading bank actively engaged in the real estate markets. 

Experience

FINANCE EXPERIENCE 

British Petroleum (BP), Planning and Performance Management Intern (London), 3 months


Weber Saint Gobain, Summer Analyst Intern, 1 month

  

Würth, Financial Analyst Intern, 1 month 

 

Education

EDUCATION
Queen Mary, University of London, United Kingdom September 2021 – June 2024
• BSc (Hons) Business Management (First Class Honors Degree Expected)
• Relevant modules: International Finance, Quantitative Analytics, Economics, Accounting 

Member of MENSA since 2019

3 A level equivalents (Serbian Matura): English (5/5), Maths (5/5), Serbian language (5/5),
• SAT: Maths (750) & English Literature (690); total SAT score 1440, IELTS: 7.5 
 

CERTIFICATIONS AND PERSONAL DEVELOPMENT
Corporate Finance Institute September 2023 – June 2024
• CMSA®and FMVA®qualifications
• Independently worked on Fixed-income debt instrument valuation, Discount Cash flow modeling, Option pricing, Extensive
Equity Research and Excel analysis
• Performed financial planning, equity valuation modeling in Excel, and Efficient Frontier stocks portfolio optimization as part
of the final project.

TTC Institute, UG FTP, Finance Trading Programme
Data Science Bootcamp Scholarship, Imperial College London, London
• Attended Data Science Boot Camp awarded a full scholarship from the British Department of Education, and Imperial College
London focused on machine learning, regression analysis, deep learning, natural language programming, data visualization,
and data manipulation.
• The final project involved creating an optimal portfolio depending on investors' risk and return preferences using Efficient
Frontier method. 
 

 

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