Manager, Data Science

OneMain FinancialCharlotte, NC
12dHybrid

About The Position

Manager, Data Science Location: Charlotte, NC (Hybrid) We are seeking a Manager to join our Data Science team in Charlotte, NC. This is an exciting opportunity to develop and manage an integrative set of models across a diverse portfolio. These models include but are not limited to risk models, direct mail response models, portfolio risk models, line management models, collection models, and others. Working with various partners, the role will also have responsibilities for model monitoring, customer segmentation, competitive analysis, and input into strategy. A successful candidate will expand competencies and grow business and industry acumen, as well as demonstrate the ability to work on complex processes or projects across the end-to-end project cycle. They will also gain knowledge to suggest new answers to old questions, develop insights and push the traditional boundaries of the lending industry. The Role Research and develop new modeling techniques that will keep OneMain at the forefront of the industry Work with non-traditional data sources such as information from other industries, tax data, deposit data, demographic data, social media and digital data to improve model performance Lead innovative solutions to gain more value from credit bureau tradeline data Develop creative technical solutions to improve the company’s decision making, the customer’s experience, and shareholder return Lead a team to conduct statistical analysis and develop profit-driven decision framework and risk strategies within risk appetite with full credit cycle view to drive healthy growth Partner with other leaders to define business priorities, align talent and resources and communicate progress to executive management Understand the data environment to appropriately prioritize and set expectations for key reporting, modeling, and analytical priorities Leverage traditional regression models and machine learning algorithms to understand the key drivers and estimate customer behaviors Effectively prioritize competing initiatives across direct reports; translate strategic priorities into individual/team initiatives and manage expectations

Requirements

  • Master’s Degree in a quantitative discipline (Engineering, Statistics, Economics, Business Management or Computer Science)
  • 4+ years of model development experience in a large institution preferred; PHD degrees may offset experience.
  • Knowledge of modeling techniques and methods such as decision trees, neural networks, XGBoost, and complex regressions preferred
  • Superior communication skills with the comfort to interface with all levels of management
  • Proven experience working with teams of diverse individuals focused on several disparate projects simultaneously
  • Advanced use of computer languages and modeling packages such as R, SAS, and Python (Tensorflow, Pyspark)
  • Innovative and capable of developing creative solutions to complex, data-driven problems

Responsibilities

  • Research and develop new modeling techniques that will keep OneMain at the forefront of the industry
  • Work with non-traditional data sources such as information from other industries, tax data, deposit data, demographic data, social media and digital data to improve model performance
  • Lead innovative solutions to gain more value from credit bureau tradeline data
  • Develop creative technical solutions to improve the company’s decision making, the customer’s experience, and shareholder return
  • Lead a team to conduct statistical analysis and develop profit-driven decision framework and risk strategies within risk appetite with full credit cycle view to drive healthy growth
  • Partner with other leaders to define business priorities, align talent and resources and communicate progress to executive management
  • Understand the data environment to appropriately prioritize and set expectations for key reporting, modeling, and analytical priorities
  • Leverage traditional regression models and machine learning algorithms to understand the key drivers and estimate customer behaviors
  • Effectively prioritize competing initiatives across direct reports; translate strategic priorities into individual/team initiatives and manage expectations

Benefits

  • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
  • Up to 4% matching 401(k)
  • Employee Stock Purchase Plan (10% share discount)
  • Tuition reimbursement
  • Paid time off (15 days’ vacation per year, plus 2 personal days, prorated based on start date)
  • Paid sick leave as determined by state or local ordinance, prorated based on start date
  • Paid holidays (7 days per year, based on start date)
  • Paid volunteer time (3 days per year, prorated based on start date)
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