Why GM Financial Bank GM Financial Bank is a newly formed bank. Team members joining now will play a pivotal role in shaping the bank, which will offer auto finance and deposit products. Joining GM Financial
The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market
Details Open Date09/16/2026Requisition NumberPRN46237BJob TitleData / Reporting AnalystsWorking TitleData / Reporting AnalystsCareer Progression TrackP00Track LevelP5 - Expert, P4 - Advanced, P3 - Career, P2 - DevelopingFLSA CodeProfessionalPatient Sensitive Job Code?NoStandard Hours per Week40Full Time or Part
Why GM Financial Bank? GM Financial Bank is a newly formed bank. Team members joining now will play a pivotal role in shaping the bank, which will offer auto finance and deposit products. Joining GM Financial
This hybrid role offers the flexibility to work from either our Ogden or Salt Lake City office. Employees are expected to work onsite at their designated office location at least four days per week. About Us
Why GM Financial Bank? GM Financial Bank is a newly formed bank. Team members joining now will play a pivotal role in shaping the bank, which will offer auto finance and deposit products. Joining GM Financial
Job Details: Level: Experienced, Job Location: Kamas , UT 84036, Position Type: Full Time, Education Level: 4 Year Degree, Travel Percentage: Up to 25%, Job Category: Marketing, Bring Customer Insight into the Products We Build At
Essential Duties and Responsibilities: - Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition. - Select crucial features, construct, and refine classifiers using
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
As a Senior UX Designer II, youll own the end-to-end experience strategy for a product area, leading discovery and delivery across multiple features or pods. Youll drive user research, synthesize insights, and define experience goals that