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Amir Kiani

Objective

Dedicated and diligent finance graduate with an MBA in Finance seeking a research assistant position to contribute to advanced financial research. Eager to leverage expertise in Python, R, and machine learning to support sophisticated quantitative finance projects.

Education

MBA in Finance

University of Kashan (GPA: 17.68 / 20)
2019 - 2023

Notable Courses:

  • Microeconomics
  • Metaheuristic Optimization (Project: Presenting Ant-Colony Algorithm)
  • Financial Markets and Institutions (Focus: Derivatives Market Strategies)
  • Operation Management (Focus: Decision Making Strategies)

B.Sc. Chemical Engineering

Petroleum University of Technology
2012 - 2017

Extracurricular Activities:

  • Head of Foreign Language Development Center (2014 - 2016)
  • Head of Information Technology Services Students’ Union (2013 - 2015)

Non-academic Appointments

GMAT/ Mathematics Tutor (Freelance)

OstadBank
Jan 2023 – Present
Awarded the best tutor badge in spring 2023

Business Development Specialist (Internship)

Iranicard
Jan 2023 – Feb 2023
Key skills: Presentation, B2B Marketing

Chief Marketing Officer (Full-Time)

Mahestan Mattress
Oct 2022 – Dec 2022
Main Tasks: Supply chain, warehouse, and transportation management

Research Interests

  • Derivatives Market
  • Portfolio Management
  • Algorithmic Trading

Projects

MBA Thesis: Identification and Prioritization of The Factors Affecting Herding Behavior of Investors in Tehran Stock Exchange Market

  • Year: 2023
  • Research Field: Behavioral finance
  • Research Method: Descriptive-exploratory
  • Analytical Method: Analytical Hierarchy Process (AHP)

Skills

  • Industry Knowledge: Financial markets, Derivatives
  • Tools and Technology:
    • Python (Pandas, Numpy, Matplotlib)
    • R (ggplot2, dplyr, tidyr, readr, stringr)
    • SQL, HTML, CSS
  • Project Management: Git, Mizito, ClickUp, Trello
  • Interpersonal: Creativity, Communication
  • Languages: English (Fluent)

Certificates

  • Advanced R Programming — The Johns Hopkins University (Dec 2023)
  • Mathematics for Machine Learning: Linear Algebra — Imperial College London (Dec 2023)
  • Mathematics for Machine Learning: Multivariate Calculus — Imperial College London (Dec 2023)
  • Statistics — 365 Data Science (Nov 2023)
  • Supervised Machine Learning: Regression and Classification — DeepLearning.AI (Nov 2023)
  • Python Pandas Introduction to Machine Learning — Kaggle (Jun 2023)