Tustin Recruiting
Tustin Recruiting
Equity Trader Resume Template
A professional resume template tailored for Equity Trader positions, highlighting technical skills and project experience brought to you by Tustin Recruiting.
Summary
Results-driven professional with experience in Executing buy and sell orders for stocks and securities. Proven track record of delivering high-quality solutions and optimizing performance.
Skills
languages: Python, R
frameworks:
tools: Bloomberg Terminal, Eikon, Excel
concepts: Risk Management, Market Analysis, Technical Analysis
Experience
Equity Trader
Bright Securities Co.
Jan 2022 - Present
- Executed over 200 trades per day with an average order size of $500,000, maintaining a personal win rate of 62% in volatile market conditions.
- Implemented a new trade reporting system that reduced reporting time by 30%, enhancing decision-making speed.
- Collaborated with the research team to identify potential high-yield investment opportunities, resulting in a 15% increase in portfolio returns over the past year.
Junior Equity Trader
Midtown Investment Group
Mar 2019 - Dec 2021
- Assisted in the execution of trade orders with a total volume exceeding $1 billion annually.
- Analyzed daily market trends and reported key findings to the senior trading staff, aiding in strategic decision-making.
- Developed Excel-based tools for more efficient trade order tracking, decreasing errors by 20%.
Equity Trading Assistant
Capital Wealth Advisors
Jun 2017 - Feb 2019
- Supported lead traders by preparing detailed market analysis reports, contributing to 10% improved trading accuracy.
- Monitored live trade data and provided real-time feedback and insights during trading sessions.
- Participated in the firm's training program to enhance market strategy formulation skills.
Education
B.S. in Finance
University of California, Berkeley, Berkeley, CA
Graduated: 2017
Projects
Automated Trading Tool
Developed a Python-based tool to automate routine trading tasks, reducing manual workload by 40% and improving accuracy.
Technologies: Python, Pandas, Numpy