Other Interview Questions
The Interview Experience is a score from 1 star (very negative) to 5 stars (very positive) generated based on the Interview Insights at this company.
The number you see in the middle of the doughnut pie chart is the simple average of these scores. If you hover over the various sections of the donut, you will see the % breakdown of each score given.
The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few interview insights). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire dataset.
- Very Negative
- Negative
- Neutral
- Positive
- Very Positive
The Interview Difficulty is a score ranging from very difficult (red) to very easy (green) generated based on the Interview Insights at this company.
The number you see in the middle of the doughnut pie chart is the simple average of these scores. The higher the number, the more difficult the interviews on average. If you hover over the various sections of the doughnut, you will see the % breakdown of each score given.
The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few interview insights). Simply put, as a company gets more insights, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire data set.
- Very Easy
- Easy
- Average
- Difficult
- Very Difficult
The % of Interns Getting a Full Time Offer chart is meant to provide a realistic estimate of the hiring practices of the company based on the reviews at this company.
The number you see in the middle of the doughnut pie chart is the simple average of these scores. If you hover over the various sections of the doughnut, you will see the % breakdown of each score given.
The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few reviews). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to the simple company average and away from the average of the entire data set.
- 0%
- 10%
- 20%
- 30%
- 40%
- 50%
- 60%
- 70%
- 80%
- 90%
- 100%
Interview Questions & Answers - Other Examples
Research Analyst Interview - Asset Management
Investment Banking Analyst Interview - Energy
Analyst - Corporate Development Interview - Corporate Development
Associate, Fixed Income AI Analytics Interview - Fixed Income
I was initially contacted by a recruiter from the organization who was interested in arranging a phone interview to discuss in opening in the company. We arranged a date and time, and spoke via phone covering the role, responsibilities, information about the firm, and everything else you would need to know for the role. After a first-round phone interview I was asked to do a group interview via Zoom with numerous members of the firm, including the CEO and Head of Global Sales and Corporate Development, Fixed Income.
Post-interview I was asked to do another presentation for the Fixed Income team, covering the Overbond COBI Bond Pricing AI which algorithmically predicts the most optimal indicative new issue bond price as well as relative value secondary market best-execution bond price for global IG and HY issuers, utilizing machine- learning (ML) algorithms. The ML algorithms analyze millions of data points related to factors such as secondary levels, recent indicative new issue price quotations, company fundamental data elements, investor sentiment and sector comparables. The presentation was a mock-pitch to the Head of Global Fixed Income at a multi-billion dollar Investment Management firm describing the use-case scenarios of Fixed Income artificial intelligence quantitative analytic programs at the trading desk.
Advice? Come prepared, in order to successfully interview at this firm you must come equipped with a very high-level knowledge base surrounding: fixed income, machine learning, artificial intelligence, high yield bonds, curve structure, execution management systems, portfolio management systems, ETF basket pricing, issuance propensity and new issuance modelling, liquidity scoring, margin optimization, screening for mispriced fixed income securities (Overbond’s quantitative method for rich-cheap analysis combines both static and dynamic analysis of multiple factors with AI. It’s a mean-reversion valuation model designed to pre-identify bonds as rich ‘sell’ and cheap ‘buy’ candidates based on proprietary Overbond valuation metrics and AI non- linear optimization), along with pre-trade and post-trade TCA.
A successful candidate would have working knowledge of both sell-side and buy-side fixed income trading, as well as knowledge of electronic trading within fixed income across all G10 currencies.
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