Job Description
Are you a detail-oriented problem solver looking to break into the high-stakes world of financial markets?
Apex Financial Analytics is seeking a Junior Equity Options Data Analyst to join our dynamic team in Dallas, TX. In this pivotal role, you will support our trading floor by analyzing complex equity options data, identifying trends, and providing actionable insights. We value potential and analytical drive over years of experience, making this an ideal opportunity for recent graduates or career changers passionate about finance and data.
As a Data Analyst at Apex, you will bridge the gap between raw market data and strategic decision-making. You will work closely with senior analysts to ensure data integrity, assist in valuation modeling, and help optimize our equity options strategies. If you have a knack for numbers and a drive to learn, we want to hear from you.
Why Join Us?
- Competitive Compensation: $55k - $75k base salary with performance bonuses.
- Remote/Hybrid Options: Enjoy the flexibility of working from home or in our Dallas office.
- Career Growth: Comprehensive training programs and clear pathways for advancement in the financial sector.
Responsibilities
- Market Data Analysis: Monitor and analyze daily equity options data to identify patterns, anomalies, and potential trading opportunities.
- Data Cleaning & Processing: Ensure the accuracy and consistency of large datasets by performing routine cleaning and validation tasks.
- Reporting & Visualization: Create clear, concise, and visually appealing reports and dashboards to present findings to the trading team.
- Assist in Valuation: Support senior analysts in the valuation of equity options using standard financial models and pricing formulas.
- Research Support: Conduct background research on underlying assets and market conditions to aid in option strategy development.
- Collaboration: Work cross-functionally with the trading and risk management departments to ensure data alignment.
Qualifications
- Educational Background: Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field.
- Analytical Skills: Strong analytical mindset with the ability to interpret complex data sets.
- Technical Proficiency: Familiarity with SQL, Python, or Excel (VLOOKUP, Pivot Tables). Experience with financial data platforms is a plus but not required.
- Attention to Detail: High level of accuracy when handling sensitive financial data.
- Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Self-Starter: Proactive attitude with a willingness to learn new tools and financial concepts quickly.