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NEXTMOVEFDE careers · United States

Senior Associate, Data Scientist - Cash Flow Underwriting

AI summary of the role

This Senior Associate Data Scientist role on the Cash Flow Underwriting team focuses on leveraging advanced machine learning to engineer predictive signals from cash flow and transaction data for risk and usage models.

What you’ll do

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
  • Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal insights hidden within huge volumes of numeric and textual data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals

What you’ll bring

  • Bachelor's Degree in a quantitative field plus 2 years of data analytics experience, or a Master's Degree in a quantitative field or MBA with quantitative concentration
  • At least 2 years of experience in Python, Scala, or R
  • At least 2 years of experience with machine learning
  • At least 2 years of experience with SQL

Technologies

Python · Conda · AWS · H2O · Spark · Scala · R · SQL · machine learning · deep learning

Source and classification

Internal deployment & tooling · Evidence for this classification:

Scientists to join our Cash Flow Underwriting Team. This role is centered on leveraging advanced machine learning techniques to identify and engineer the predictive signals that power our risk and usage models. The ideal candidate possesses a solid understanding of data alongside advanced machine learning skills to uncover non-obvious patterns in cash flow and transaction data. You will be responsible for applying sophisticated methodology to transform raw banking data into high-value features that accurately forecast creditworthiness and customer behavior. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and
More from the job description

Senior Associate, Data Scientist - Cash Flow Underwriting Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description We are looking for highly analytical Data Scientists to join our Cash Flow Underwriting Team. This role is centered on leveraging advanced machine learning techniques to identify and engineer the predictive signals that power our risk and usage models. The ideal candidate possesses a solid understanding of data alongside advanced machine learning skills to uncover non-obvious patterns in cash flow and transaction data. You will be responsible for applying sophisticated methodology to transform raw banking data into high-value features that accur [... source excerpt omitted ...] stomer behavior. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging tech [... source excerpt omitted ...] You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic 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 2 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathemati

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