Sr. Finance Analyst, Warranty Data Analytics
GM Global Technical Center - Champion Service Operations, United States
General Motors
General Motors is home to Buick, Cadillac, GMC & Chevrolet. Learn about General Motor's rich history and dedication to community, sustainability, & innovation.Job Description
Hybrid- Position does not require an employee to be on-site full-time.
This position requires an employee to be onsite 3 times per week.
The Role
The Warranty Data Analytics team is looking for an innovative, forward-thinking analyst to join their team. The Warranty Data Analytics Sr Finance Analyst is responsible for understanding GM warranty business processes, developing forecasting models and analyzing data trends. The role requires a high level of independent judgment, decision making and analytical capabilities, and ability to communicate complex data analyses and results.
What You'll Do
Understand new warranty coverages and develop new models
Develop and analyze warranty forecasting models using actuarial concepts
Provide input for quarterly reserve adequacy studies based on actuarial analysis of claims spend
Assess reserve balances using actuarially accepted techniques appropriate for the type and length of coverage or size of the balance
Contribute to the annual warranty accrual rate setting process
Provide data deliverables and ad-hoc support to the GM North America and GM International Warranty Accounting teams
Utilize new technologies and solutions to support data analytics and dashboarding
Partner with IT to explore machine learning for predictive analytics
Support IT with infrastructure and technology changes
Develop and present data solutions to other members of the organization
Assist with special projects and ad hoc reporting requests
Maintain controls and work with Financial Assurance and external auditors to streamline existing business processes and develop new/enhanced control procedures
Collaborate with Global Warranty, Controllership, Finance, IT & external auditors
Model GM’s desired behaviors including safety
Actively promote GM’s culture of diversity, equity and inclusion
Additional Job Description
Your Skills & Abilities (Required Qualifications)
Bachelor’s Degree in Finance, Mathematics, Statistics, Actuarial Science or related field
5 + years of relevant experience in Actuarial Science, Finance, Data Analytics and/or related field
Experience with SQL/ HQL/ Python
Actuarial experience or experience in statistical modeling and forecasting
Knowledge of VBA, HUE, Power BI, and/or KNIME
Experience with Sarbanes-Oxley compliance
Ability to prioritize assignments/projects and deliver within restricted time constraints
Strong interpersonal skills and demonstrated commitment to teamwork and partnerships
Ability to embrace and manage change
Location: Hybrid. This role is categorized as hybrid. This means the successful candidate is expected to report to the GM - Global Technical Center HQ Warren, MI three times per week, at minimum [or other frequency dictated by the business]
Relocation: This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidateGM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data Analytics Finance KNIME Machine Learning Mathematics Power BI Python SQL Statistical modeling Statistics STEM
Perks/benefits: Career development Equity / stock options
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