Financial Modeling and Valuation
At the core of any research role is the ability to build, maintain, and interpret financial models. Axos Clearing needs analysts who are highly proficient in Excel and understand the mechanics behind various valuation methods. Interviewers will look for your ability to project financial statements, understand discounted cash flow (DCF) analysis, and evaluate comparable companies. Strong performance in this area means you not only get the math right, but you also understand the assumptions driving your model.
Be ready to go over:
- Three-Statement Modeling – How the income statement, balance sheet, and cash flow statement link together.
- Valuation Techniques – DCF, precedent transactions, and comparable company analysis.
- Risk Assessment – Evaluating the financial health and creditworthiness of entities.
- Advanced concepts (less common) – Scenario analysis, Monte Carlo simulations, and specific regulatory capital requirements for broker-dealers.
Example questions or scenarios:
- "Walk me through how a $10 increase in depreciation flows through the three financial statements."
- "How would you value a mid-sized broker-dealer in today's interest rate environment?"
- "Explain the key assumptions you would use when building a DCF model for a financial services firm."
Market and Industry Analysis
As a clearing and custody provider, Axos Clearing operates in a specific niche of the financial sector. You will be evaluated on your understanding of macroeconomic trends, interest rate impacts, and the competitive landscape of RIAs and broker-dealers. A strong candidate demonstrates a natural curiosity about the markets and can articulate how global events impact domestic clearing operations.
Be ready to go over:
- Macroeconomic Indicators – How inflation, interest rates, and GDP growth affect trading volumes and margin balances.
- Industry Dynamics – The relationship between introducing broker-dealers, clearing firms, and retail/institutional investors.
- Equity and Fixed Income Markets – Basic mechanics, yield curves, and market drivers.
- Advanced concepts (less common) – The impact of SEC regulatory changes on clearing firm margins.
Example questions or scenarios:
- "Pitch me a stock or an industry sector you are currently following, and explain your investment thesis."
- "How do rising interest rates impact the profitability of a clearing firm?"
- "What do you see as the biggest headwind facing registered investment advisors today?"
Data Manipulation and Technical Tools
Research Analysts do not just read reports; they build them from raw data. You will be assessed on your technical fluency with industry-standard tools. While deep software engineering isn't required, you must be a power user of Excel. Familiarity with SQL, Python, or financial terminals (like Bloomberg or FactSet) will significantly differentiate you. Strong candidates can explain how they clean, organize, and extract insights from messy datasets.
Be ready to go over:
- Advanced Excel – Pivot tables, VLOOKUP/XLOOKUP, INDEX/MATCH, and complex nested formulas.
- Data Querying – Basic SQL for pulling historical trade or market data from internal databases.
- Data Visualization – Presenting findings using tools like Tableau, PowerBI, or even advanced Excel charting.
- Advanced concepts (less common) – Automating data workflows using Python (Pandas) or VBA.
Example questions or scenarios:
- "Describe a time you had to analyze a massive dataset. What tools did you use, and how did you ensure data integrity?"
- "How would you structure a SQL query to find the top 10 most traded equities by our clients last month?"
- "Explain how you would automate a weekly market summary report that currently takes three hours to build manually."