CV
Summary
MSc Financial Economics (Distinction) graduate with equity research experience in fundamental analysis, DCF and comparable company valuation. Builds rule-based MQL4/MQL5 trading tools and trades US index markets in the New York session. Runs a live Python macro dashboard of US yields and ISM data.
Experience
Independent Trader Oct 2024 – Present
Self-employed, small trading team
- Trade US index markets, primarily the Dow Jones, during the New York session as part of a small team working to a shared written rulebook.
- Designed and documented a rule-based intraday trading framework (in development since 2023) and tested it through backtesting.
- Built supporting MQL4/MQL5 tools and data-quality checks for the framework.
- Coordinate daily market preparation and review, and keep structured records of decisions and outcomes. The strategy, rules and tools were built through self-directed study.
Sales Advisor (Part-time) Jul 2026 – Present
ARKET, London
- Work across shop floor, tills, stockroom and deliveries in a busy central London store.
Equity Analyst Intern Jun 2023 – Sep 2023
Farabi Financial Group
- Conducted fundamental equity research across oil and gas, banking and financial institutions, supporting valuation work and buy, sell and hold recommendations.
- Built DCF and comparable company models in Excel and wrote investment reports, presenting findings to senior analysts and portfolio managers.
- Screened, retrieved and validated company and market data on Bloomberg Terminal, and monitored earnings releases, central bank policy, CPI, PMI and yield curve movements.
- Automated recurring data extraction and screening tasks in Python, reducing manual work and improving the consistency of research inputs.
Engineering Intern Oct 2022 – Nov 2022
Fajr Energy Company
- Analysed reliability and operational risk data for industrial systems, identifying patterns relevant to equipment lifecycle management.
- Reviewed technical documentation and maintenance records, reaching defensible conclusions from incomplete real-world data.
Selected projects
Equity Valuation: ExxonMobil and HSBC Oct 2024 – Nov 2024
- Carried out full fundamental analysis of two large-cap companies from different sectors, sourcing financial statements, peer data and market pricing through Bloomberg Terminal.
- Built DCF and comparable company models in Excel with clearly stated assumptions and sensitivity testing, factoring in the energy transition (ExxonMobil) and the interest rate environment (HSBC).
- Issued an investment recommendation for each company based on the valuation work.
Macro Dashboard Nov 2024 – Present
Python, Streamlit
- Built and maintain a public macro dashboard that currently shows the US Treasury yield curve and ISM Manufacturing signals, with further modules in development. See Projects.
- Validated figures against official sources (FRED, Treasury.gov, ISM releases) and covered the code with automated tests.
Education
MSc Financial Economics (Distinction) Sep 2024 – Sep 2025
City, University of London
- Thesis: Momentum in Financial Markets. Time-series and cross-sectional momentum across equities, commodities, FX and bonds, tested in Python with regression and hypothesis testing.
- Modules: Asset Pricing, Econometrics, Derivatives, Portfolio Theory, Macroeconomics.
BSc Mechanical Engineering Sep 2019 – Oct 2023
Amirkabir University of Technology
- Strong quantitative and analytical foundation, with applied modelling and data interpretation skills transferable to finance.
Skills
- Equity research: fundamental company and sector analysis, financial statements and peer data, DCF and comparable company valuation, sensitivity testing, earnings monitoring, written investment reports and recommendations
- Trading: systematic strategy design, rule-based execution, backtesting, risk and drawdown control, trade record keeping, US index markets
- Macro and research: US Treasury yield curve, investment-grade and high-yield credit spreads, ISM/PMI, CPI, central bank policy
- Programming and data: Python (pandas, NumPy, matplotlib, Streamlit), MQL4/MQL5, VBA, MATLAB, STATA, data validation, automated testing
- Platforms and tools: Bloomberg Terminal, MetaTrader 5, NinjaTrader, Quantower, Excel (advanced modelling, pivot tables, macro-enabled workbooks), Word, PowerPoint
Certifications and languages
- Certifications: CFA Level 1 Candidate (sitting February 2027), Bloomberg Market Concepts, Bloomberg Spreadsheet Analysis
- Languages: Persian (native), English (fluent)