Green Dot Corporation, along with its wholly owned subsidiary bank, Green Dot Bank, is a pro-consumer financial technology innovator with a mission to reinvent personal banking for the masses. Green Dot invented the prepaid debit card industry and is the largest provider of reloadable prepaid debit cards and cash reload processing services in the United States. Green Dot is also a leader in mobile technology and mobile banking with its award-winning GoBank mobile checking account. Through its wholly owned subsidiary, TPG, Green Dot is additionally the largest processor of tax refund disbursements in the U.S. Green Dot's products and services are available to consumers through a large-scale "branchless bank" distribution network of more than 100,000 U.S. locations, including retailers, neighborhood financial service center locations, and tax preparation offices, as well as online, in the leading app stores and through leading online tax preparation providers. Green Dot Corporation is headquartered in Pasadena, Calif., with additional facilities throughout the United States and in Shanghai, China.
Mgr., Internal Audit and Analytics
The Manager, Internal Audit and Analytics will be responsible for leading the development and execution of the data analytics strategy used within the audit methodology. This position is responsible for leading data analytics within integrated internal audit engagements, including compliance, operational, financial and Sarbanes-Oxley (SOX) audits.
The Manager, Internal Audit and Analytics will be an expert of data processing, gathering, manipulating, and analyzing, and will include ensuring appropriate involvement of data analytics in the planning and execution of the annual audit plan, management of other related data analytics activities, training the department on the use of data analytics within audits, and continuous enhancements of the data analytics program within the audits.
The Manager, Internal Audit and Analytics should apply the Internal Audit methodology consistently to all audits and contribute with innovative ideas in an effort to continuously improve the methodology. They will presents audit findings and recommendations to Management, and assesses the corrective actions taken for satisfactory dispositions of audit findings.
Spearhead and manage the department's data analytics strategy, raising awareness of the data analytics program with key members of Management and helping to develop an effective auditing program for the Company.
Responsibilities will include: increasing audit coverage and accuracy, increasing productivity and cost savings by leveraging the Company’s robust reporting and analytic tools, increasing efficiency by accessing and querying data independently, and increasing early detection of control deficiency or inadequacy.
Synthesize understanding of processes and related data into specific, actionable requirements to effectively execute analytics related to fraud, compliance, revenue, and stored procedures.
Analyze trends and patterns in data and synthesize and communicate meaningful insights to the audit project team and business stakeholders
Solve complex analytical and data integrity problems while prioritizing and managing multiple tasks.
Build relational data structures, including relationships between tables, grouping data, and following steps to perform analysis.
Manipulate and analyze data in a variety of formats (e.g., Excel, SQL, Access, ASCII, etc.).
Establish and maintain key business relationships with internal leadership.
Develop accurate and complete audit work papers that support audit findings and document work performed.
Draft clear concise internal audit reports, summarize findings and align comprehensive management action plans with the process owner for each auditable entity.
Lead data analysis or statistical techniques to optimize audit coverage to key focus areas, ensure targeted coverage is comprehensive, and assist in obtaining increased audit coverage of sampled populations.
Present audit findings, potential opportunities, and recommendations to Management, and assess the corrective actions taken for satisfactory dispositions of audit findings.
Lead special projects as required by Internal Audit management.
Manage and develop data analytics staff.
Bachelor’s degree in business, accounting, computer science, information technology, economics, statistics, or other related fields, required.
5-7 years of data analysis experience.
Proficient experience in MS SQL is a must, and creative thinking skills to develop SQL queries.
Strong financial, accounting, technology, and/or internal control background.
Working knowledge of general business processes, including inherent risks and controls.
Ability to define, extract, create queries and analyze data based on a fundamental understanding of process, control and risk in support of the department's data analytics strategy.
Development and execution of new audit data analysis scripts and testing procedures.
Strong written and interpersonal communication skills. Must be able to communicate ideas effectively and concisely to all levels of Management, internal and external auditors and outside contacts.
Ability to translate data analysis procedures into associated auditing or business process benefits.
Proactive work style used to consistently communicate project status, issues and completion plans.
Positive attitude dedicated towards achieving results for the "team".
Progressive thinking skills, strong work ethic, and problem solving skills.
Ability to work independently with minimal supervision under stressful conditions and coordinate the completion of multiple tasks simultaneously.
Excellent organizational and analytical skills.
Experience with Microsoft Excel, Microsoft Access, ACL, IDEA, SAS, Microstrategy, Tableau data analysis tools, and other audit automation or data mining tools preferred
Internal controls and/or financial accounting/auditing experience.
Licensed CPA, CIA, CFE, CISA, or ACDA (or equivalent).
Green Dot Corporation is committed to achieving a diverse workforce and is proud to be an equal opportunity employer without regard to race, color, religion, sex, national origin, disability , protected veteran status, or any category protected by law.