{ "media_type": "text", "post_content": "I will be applying for a Data Modeling Senior Associate position at a Big Four firm. It seems a bulk of the role would be doing statistical risk analysis for credit risk in the auto industry. Contd", "post_id": "5bccd932efdfae001288c6a2", "reply_count": 1, "vote_count": 0, "bowl_id": "5ace5097be6e660013abcc42", "bowl_name": "Data & Analytics Consultants" }

I will be applying for a Data Modeling Senior Associate position at a Big Four firm. It seems a bulk of the role would be doing statistical risk analysis for credit risk in the auto industry. Contd

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The role requires heavy use of R and SAS, both programs which I am fluent in. For the past three years, I've been an academic statistical researcher. I have done some non-related research, but I've also studied World Bank data and created predictions from it, used voting data to predict purchases of solar energy, written papers on machine learning in economic analysis, and used geospatial analysis to predict wage and therefore cost differentials on highway construction. I am fluent in all of the programs that are used in the preferred knowledge section, and I have a double degree in mathematics and economics, with the economics schooling heavily focused on econometrics. I graduated from a top 20 university and studied econometrics at The London School of Economics. I will definitely be applying, but I was hoping for advice on which areas of my resume to focus on and elaborate on, and what your thoughts are of me landing an interview and moving on through the rounds. Thanks!

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