Jeffrey Pohlmeyer

Jeffrey Pohlmeyer has a diverse work experience spanning various industries and roles. Jeffrey is currently working as a Staff Engineer at arqu starting from June 2022. Prior to this, they founded and served as the CEO of JVP Design, LLC since July 2021.

Jeffrey has also worked as a Senior Software Engineer at Urbint from October 2021 to June 2022. Previously, they held the position of Associate Director/Lead Full Stack Developer at AM Best from December 2019 to September 2021. In this role, they built a full-stack application from scratch, utilizing core features of Vue and third-party packages. Jeffrey also developed the backend using Django and connected it to a legacy database.

Before that, Jeffrey worked as a Senior Quantitative Analyst/Lead Full Stack Developer at AM Best from November 2017 to December 2019. Jeffrey was responsible for building and validating investment and risk management models.

Prior to their time at AM Best, Jeffrey gained experience as a Senior Actuarial Consultant/Model Validation Quant at MetLife from January 2016 to November 2017. Jeffrey validated investment models and created challenger models for various assets.

Jeffrey's career started as an Actuarial Assistant at New York Life Insurance Company from December 2013 to January 2016. Jeffrey performed valuation and reporting tasks.

Before joining New York Life Insurance Company, Jeffrey worked as an Actuarial Intern at ACE Group from May 2013 to November 2013. In this role, they supported a pricing group and analyzed the impact of inflation on the balance sheet.

Jeffrey also has research and teaching experience. Jeffrey worked as a Postdoctoral Researcher and Graduate Assistant at NJIT from January 2013 to May 2013 and from September 2008 to December 2012, respectively. Additionally, they served as an Adjunct Lecturer at Bergen Community College in June 2008 and as an Algebra Teacher at Passaic Valley Regional High School from September 2007 to June 2008.

Jeffrey Pohlmeyer pursued their education in a chronological manner. Jeffrey obtained a Bachelor of Science (BS) degree in Math and French from Loyola University Maryland in the period between 2000 and 2004. Following this, from 2006 to 2008, they attended Montclair State University where they earned a Master of Science (MS) degree in Math. Continuing their academic journey, they enrolled in the New Jersey Institute of Technology from 2008 to 2012 and completed their Doctor of Philosophy (PhD) degree in Applied Mathematics. In 2012, they briefly attended the University of Oxford for further studies in Applied Mathematics. Additionally, Jeffrey Pohlmeyer acquired several certifications related to their field. In 2016, they obtained the "Machine Learning" certificate from Coursera Course Certificates. Jeffrey also achieved certification in "C++ Programming for Financial Engineering" from QUANTNET INC, as well as a "C++ Programming for Financial Engineering (with Distinction)" certificate from QuantNet.com and Baruch College Pre-MFE that same year. Prior to these, in 2016, they became an Associate of the Society of Actuaries. More recently, in 2022, they completed certifications in "Convolutional Neural Networks," "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization," "Neural Networks and Deep Learning," and "Structuring Machine Learning Projects," all from Coursera.