Manager, Data Scientist - Model Risk Audit
$179,400–$204,700 year
On-siteNew York City, New York, United States or Charlotte, North Carolina, United States
Job Summary
Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver analytical solutions. Leverage Python, Conda, AWS, H2O, Spark, and other technologies to reveal insights from large volumes of numeric and textual data. Audit machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. Translate the complexity of your work into tangible business goals while raising appropriate model risk issues for the Audit Committee. Experiment with emerging NLP and Generative AI technologies to create next-generation features.
Required Qualifications
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
- At least 1 year of experience leveraging open source programming languages for large scale data analysis
- At least 1 year of experience working with machine learning
- At least 1 year of experience utilizing relational databases
Desired Qualifications
- PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
- At least 4 years of experience in Python, Scala, or R for large scale data analysis
- At least 4 years of experience with machine learning
- At least 4 years of experience with SQL
- At least 1 year of experience working with deep learning or Gen AI applications
- At least 1 year of experience working with AWS
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