Considerations for Your Quant Finance Job Interview

Paris-based CQF alumna, Katherina Duong-Bernet, is EU Head of Business Development for Millennium Global Europe SAS. We spoke to Katherina to learn more about common quant finance interview mistakes, questions, and considerations.
What common mistakes do candidates make during the hiring process?
One of the most common mistakes is not trying to obtain complementary information, other than what is given in the job description or from the recruiter.
How can aspiring quants stand out?
Come well prepared, having gathered information on the company: its foundation, competitors, shareholding structure, flagship product, and press. Ideally you want to speak with insiders and find out exactly what profile they are looking for.
How do you assess a candidate’s technical skills during an interview?
We ask them to finalize a piece of code and comment on it. This is usually a basic exercise and performed in the coding language shown on their CV, but it demonstrates their level of experience, if coding is a core competency we want.
Typically, there will also be brainteasers, so get well acquainted with different types. Part of the objective is to see your reaction once you leave your comfort zone. The interviewer is likely to pose several questions, as they want to see how you work under pressure.
How important is communication ability?
A common stereotype is that quants are introverted. Show that you can communicate, not only to solve a problem, but to solve the right problem in the right way. You can also show that you perform well on a team with introverted people.
What are the top three things a candidate can do to prepare well for an interview?
- Understand where the company is coming from and how they operate.
- Know how to create as many matching points as possible.
- If you have doubts, address them. You do not want to waste time in a role that is not a fit.
How important is it for candidates to have experience with machine learning?
The concept of AI is old, but the deployment of AI can be unique to each company. Do not jump to conclusions but rather be prepared to have the conversation if asked. The CQF offers a very good foundation on machine learning techniques. You should acquaint yourself with the most obvious ones.
What advice would you give to new professionals starting their career today?
First, look across different industries to find the areas that interest you most. Second, look for companies where you can learn and be on a great team. Finally, look for indicators showing “they care.” You want a firm that will support you as an individual when a major life event occurs.
Next steps
Discover the skills you need and the salary you could earn across six career paths in quant finance with our Careers Guide to Quantitative Finance.