Join us to reshaping the future!!

As a VP you will drive the analytics book of work and be part of the cross-functional team to support the (Claim, dispute and fraud operations) CDFO Product.  You will be responsible for working collaboratively across partners in the Product team:  Finance, Customer Experience, UX/UI Design, Software Engineering, & Product Owners. You will have the opportunity to work on building and updating the business case, analysis scoping, hypothesis development, data gathering, performance analysis, generating insights and participating in developing presentations of findings.   

 

Job responsibilities:

Work as a member of agile, digital, tribes or scrum teams to provide data and analytics support for new product development. Build holistic insights using a mix of customer, account, digital, financial and operational data sets. Import, clean, transform and validate data from multiple sources in preparation for analytics and/or modeling. Develop business cases, size addressable populations & estimate potential impact on proposed measurement plans. Scope, implement & track new features and enhancements to the disputes journey. Identify customer interactions and events across a variety of channels to better understand customer journeys and friction points. Leverage a variety of analytical and statistical applications (Alteryx, Excel, SQL, Python, etc.) to describe, analyze, and interpret trends and patterns in complex data sets.  Aid in presentations summarizing sharp insights and conclusions, often for executives.

Required qualifications, capabilities and skills:

8+ years of relevant experience doing hands-on data analysis. Technical expertise regarding data models, data analysis, and segmentation techniques Experience with Business Intelligence and analytical tools such as Alteryx, Tableau, etc. Self-sufficiency in querying and extracting data from Enterprise databases (Snowflake, GOS, AWS, etc) Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Bachelor’s degree required, advanced degree is desired with preferred concentrations in Math, Statistics, Economics or similar quantitative disciplines . Strong background and 8+ years of experience in building statistical/machine learning models involving multiple data inputs from different data sources in the area of Marketing/Customer journey/Operations/Finance. Must be able to operate in a self-directed manner with little direction; must have a strong desire to take the initiative to deliver superior results. Strong organizational skills and ability to work with in time constraints in a highly regulated industry.

Preferred qualifications, capabilities and skills:

Operational knowledge of Fraud Customer Protection Services is a plus. Experience with financial business cases a plus. Experience in analytics or consumer banking/ retail banking is a plus.