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Nodal Exchange Mock Interview

Question 2 of 27 for our Nodal Exchange Mock Interview

Nodal Exchange was written by on April 17th, 2020. Learn more here.

Question 2 of 27

What statistical models are you familiar with and which do you feel would best apply to the financial field here at Nodal Exchange?

"As a data nerd, I love the realm of statistics and I am very familiar with all of the unique statistical models and how to best apply them to different situations. I've applied linear regression when predicting the outcome based on two historically known data points. I've also applied multivariate models when looking at the distribution of multiple data points. Having dabbled a bit in the market myself and now looking to bring my quantitative analysis skills to the financial field, I am very familiar with the Gaussian model for predicting market changes and would love to bring the knowledge that I have of this model to your team here at Nodal Exchange."

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How to Answer: What statistical models are you familiar with and which do you feel would best apply to the financial field here at Nodal Exchange?

Advice and answer examples written specifically for a Nodal Exchange job interview.

  • 2. What statistical models are you familiar with and which do you feel would best apply to the financial field here at Nodal Exchange?

      How to Answer

      Financial Engineers and Quantitative Analysts are relied upon in the financial industry to utilize complex algorithms and math to predict the trading market's immediate future. For this question, your interviewer will be looking to get the sense that you have the skills to apply statistical model in finance by having you talk about the models that are familiar with and have worked with in the past. While being honest about your experiences, be sure to point out that you are aware that some apply more to finance and the market to set yourself apart during this question.

      Written by Ryan Brunner on April 17th, 2020

      1st Answer Example

      "As a data nerd, I love the realm of statistics and I am very familiar with all of the unique statistical models and how to best apply them to different situations. I've applied linear regression when predicting the outcome based on two historically known data points. I've also applied multivariate models when looking at the distribution of multiple data points. Having dabbled a bit in the market myself and now looking to bring my quantitative analysis skills to the financial field, I am very familiar with the Gaussian model for predicting market changes and would love to bring the knowledge that I have of this model to your team here at Nodal Exchange."

      Written by Ryan Brunner on April 17th, 2020

      2nd Answer Example

      "As you can see from my prior experience in data engineering and financial analysis, I have extensive experience in time series modelling that utilized both univariate and multivariate models. Multivariate time series modelling has proven to be very effective when looking at and predicting the S&P 500 performance and I think my skills in this arena would greatly benefit your team."