Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources
Leverage knowledge of data structures and algorithms to analyze and prepare data for analysis, assembling data from standard and new data sources
Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
Works on moderate complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc.
Package, summarize and visualize analytical findings and results for management
Support existing product set - QC efforts and reporting, ad-hoc analysis for clients and client legal/compliance
Bachelor's degree in a STEM field or equivalent.
2-5 years of analytical experience, including designing and developing predictive models.
2+ years of experience with SQL and python or similar programming languages.
Cloud certification highly desirable.
Additional role-based certifications may be required, varying by region and business unit.
Master’s degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline a definite plus
Experience in financial domains is a plus
Any Graduate