AVP, Remediation Analytics

Role Description

The AVP, Remediation Analytics reports to the AVP, Remediation Analytics Lead. Incumbent in this role will have the opportunity to work on major remediation projects with special focus on Credit functions. This individual will have the responsibility of understanding business requirements and building complex logics to identify and remediate the impacted population. This role will provide a platform to drive and manage various projects within the framework of remediation analytics.

• Develop Advanced SAS and/or SQL code, visual basic macros or other query tools for remediation.
• Support remediation projects partnering with FRCs and cross-functional teams, understand business requirements and ask probing questions to uncover as many requirements as possible, develop analytics solutions to identify impacted population and harm.
• Timely escalation to manager if roadblocks are encountered.
• Work with manager and leadership to resolve roadblocks for their project.
• Minimize defects by utilizing standard code sets and waterfalls where available, ensuring all certification and validation requirements are completed prior to submission.
• Ensure defects found are corrected timely and prevented going forward.
• Support audits via documentation of code and analytic outcomes and as extraction of data.
• Ensure quality of deliverables by implementing controls to ensure accuracy.
• Work on a number of different projects simultaneously, of varying complexity and length.
• Establishing priorities and coordinating work.
• Analyze remediation analytic processes and technology and present recommendations for improvement.
• Support Best-in-class analytic solutions/algorithms.
• Provide insight and support in various initiatives/projects.
• Share critical experiences and best practices across the Remediation COE.
• Provide updates on project progression and escalate challenges and roadblocks timely.
• Perform other duties and/or special projects as assigned.

Qualifications

• Bachelor’s degree and minimum 5 years of experience in a consumer finance & banking organization, or in lieu of a degree, 7+ years of experience in a consumer finance organization.
• 4+ years of experience in Analytics domain.
• Minimum 4 years of SAS programming experience.
• Solid working knowledge of Unix, Excel.
• Strong written/oral communication skills.
• Able to work hours that complement US, not necessarily match but have some degree of overlap.

Requirements

• Experience with and knowledge of Credit data & lifecycle.
• Deep experience with various Regulatory Reporting / Remediation Projects.
• Big-picture understanding of Credit Card processes & ability to communicate with business and technical stakeholders.
• Strong knowledge & hands-on experience with advanced Analytical techniques.

Work Timings

This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details.

Eligibility Criteria

• Bachelor’s degree and minimum 5 years of experience in a consumer finance & banking organization, or in lieu of a degree, 7+ years of experience in a consumer finance organization.

Internal Applicants

• Understand the criteria or mandatory skills required for the role, before applying.
• Inform your manager and HRM before applying for any role on Workday.
• Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format).
• Must not be any corrective action plan (Formal/Final Formal).
• L8+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible.
• L8+ Employees can apply.

Grade/Level

10

Job Family Group

Data Analytics