Standard 'why' questions and Python OOP
Junior Quantitative Analyst Interview Questions
6,220 junior quantitative analyst interview questions shared by candidates
Self-introduction. Describe a project you've worked on. What programming language do you use? What are the assumptions for linear regression? What is overfitting? How to avoid overfitting?
Write down a code to produce an ordered sequence
Linear algebra, differential equations, simple coding
Le prix spot du gaz est S₀ = 35 €/MWh. Le taux sans risque est r = 4% (capitalisation continue). Le gaz procure un convenience yield de y = 1,5% (continu). Le coût de stockage pour 1 an est U = 1,20 €/MWh, payé aujourd’hui. Calcule le prix forward théorique à 1 an.
Ito's Lemma and quadratic variation.
They ask about the projects and research of my past.
They asked questions regarding my current experience.
First round: What are the assumptions of logistic regression? Why is the logistic regression model considered linear? Online Assessment: 75 min for 5 programming questions, 4 were mathematics and statistics questions, and 1 was a data analysis question. The programming questions consisted of multiple choice choose the R code chunk that produces this given data result. No DSA leetcode style questions were asked. Final Round: – 1st interview - Can you tell me about a time when you had to communicate something complex to layman stakeholders? Can you tell me about a time when you dealt with a conflict in a team? – 2nd interview - Questions about decisions made during feature selection. Questions about handling class imbalance in the models used.
General brain teasers questions that you can find online, and simple computations.
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