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VP Data Science - General Motors Insurance

AT GM Financial
GM Financial

VP Data Science - General Motors Insurance

Remote

Overview

Why General Motors Insurance Data Analytics?

We are building out the next great business within General Motors, an insurance company that will disrupt the traditional model using our advantages as a subsidiary of the largest US automaker. Our success depends on our ability to make disciplined, principled decisions at scale based on a foundation of rigorous data and machine learning. We will use data science to leverage our advantages in acquisition and telematics to create an insanely simple insurance product that GM vehicle owners love.

Postion will remain open until filled.

Responsibilities

We are looking for an experienced insurance data science leader to provide technical leadership to design, develop, and deploy machine learning models, algorithms, and other actuarial methods in support of the growth of General Motors Insurance. As a technical leader, you will advise the business and train analysts on actuarial and data science best practices for technologies and methods. You will be hands on in the development and deployment technology and algorithms as well. You will accomplish this through a mastery of actuarial methods, data science tools, statistical methods, and by being an effective partner, advisor and consultant to both business and technology teams. In this role, you will also lead the design and development of a distributable modeling package for GM Insurance actuaries, data scientists and analysts to develop and deploy models in a valid, compliant and scalable manner.

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What you'll be doing:

  • Design and develop a distributable modeling package for General Motors Insurance actuaries, data scientists and analysts to develop and deploy models in a valid, compliant and scalable manner.
  • Advise business, analytics, and technology teams on actuarial components of business roadmaps
  • Research, develop, and implement traditional and innovative algorithms through application of actuarial, statistical, and machine learning methods
  • Employ advanced methods to query, calculate, transform, and manipulates data from databases using SAS, SQL, Python, R, or similar. Performs reasonable methods to validate data integrity
  • Pursue problem identification and impact across large data sets, leveraging data mining, machine learning, simulation and visualization techniques to further enhance insight and internal performance optimization
  • Develop and builds analytical solutions based on ambiguous business needs/want's, models and delivery methods
  • Proactively identify and champion value-added analytical projects.
  • Develop and design solutions with minimal guidance required, taking reasonable measures to ensure accuracy, appropriateness, and completeness
  • Utilize strong oral and written communication, including active listening skills. Make effective presentations, collaboration, and recommendations across-departments and all levels of leadership
  • Work with various functions, including engineering, platform teams, R&D, IT, and others as required to achieve business objectives
  • Complete peer reviews and mentors junior analysts. Facilitates training.
  • Lead inter-departmental projects.

Qualifications

What makes you the dream candidate?

  • Experience with advanced statistical methods
  • Efficient modeling skills with very large datasets
  • Comprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniques
  • Extensive background in insurance marketing, pricing, or claims operations.
  • Proficient with R or Python
  • MS Office required.
  • Strong written and verbal presentation skills with an ability to communicate effectively with senior management
  • Ability to identify and seek needed information/research skills.
  • Analytical thinking skills
  • Ability to interact collaboratively with internal and external customers

Experience & Education

  • Bachelor's Degree required; Master's Degree in Mathematics, Statistics, Data Science, Actuarial Science, Computer Science, or other quantitative field preferred
  • 7-10 years years experience with ratemaking, reserving, or other actuarial methods required
  • 5-7 years management or leadership experience required

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.

Compensation: Competitive pay and bonus eligibility

Work Life Balance: 100% remote

#LI-remote

#LI-CH1

#GMFjobs

Salary

The base salary range for this role is: USD $174,000.00 to $330,500.00. At GM Financial, we strive for transparency in all aspects of our business, including pay equity. This is the GM Financial pay range for this role and job level. The exact salary and compensation will vary based on factors like knowledge, skills, experience, and education. This role is eligible to participate in a performance-based incentive plan. Full time employees are eligible to participate in health benefits on day one of employment.

Job ID: GM_Financial-48838
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
  • Work Flexibility

    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Happy Hours
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K) With Company Matching
    • Performance Bonus
    • Profit Sharing
  • Professional Development

    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Leadership Training Program
  • Diversity and Inclusion

    • Unconscious Bias Training