• Lead the development and execution of data-driven strategies to enhance audit quality, efficiency, and insights • Combine technical expertise in data analytics with a deep understanding of audit processes to deliver innovative solutions that support risk assessment, testing, and continuous monitoring • Analyze large datasets to identify anomalies, trends, and potential control weaknesses • Design and implement advanced analytics solutions to support project objectives • Develop dashboards, visualizations, and automated tools for engagement teams • Collaborate with examiners to integrate analytics into planning, fieldwork, and reporting • Maintain clear documentation to support methodologies and processes • Identify opportunities to improve examination coverage and efficiency through data-driven techniques • Provide consultation and support services on process improvement, data governance, artificial intelligence, and data analysis • Monitor project budget using client invoices and expense information with the ability to forecast budget shortfalls in advance • Conduct client status meetings, review deliverables, receive client sign-off, escalate issues and communicate client opportunities

Who We Are For over 20 years, SPINS has been a leader in recognizing the transformative power of data in retail. We offer our clients cutting-edge tools to attract attention from a fast-growing segment within the Health & Wellness industry, the values-based consumer. Nearly half of shoppers prioritize products that emphasize wellness, social responsibility, and sustainable practices. SPINS retail consumer insights, analytics, and consulting services give our clients a competitive advantage to increase their share of this growing market. Our data is the most comprehensive and accurate in the industry, allowing clients to power AI models and machine learning algorithms that help them better understand and meet their customers' needs. At SPINS, behind all of our impressive data is our real differentiator, our people. We pride ourselves on our collaborative, flexible, and communicative culture that puts people at the center of everything we do. Data Quality Support Analyst The Retail Data Operations team is responsible for ensuring the timely delivery of quality and accurate Retailer sales data. This role involves proactively monitoring, analyzing, executing, tracking, measuring, and reporting on data quality issues. Success is measured by the successful ingestion and publishing of complete, high-quality client data resulting in high client engagement, cooperation, and ongoing participation with SPINS. Overall Responsibilities: Handle the verification of data through a custom application Continually ensure adherence to data quality standards Resolve all data exceptions promptly to ensure there is no negative impact downstream Identify the root cause of data quality errors and resolve them Correctly and efficiently classify alerts as a true data quality issue that was caught, versus a false alert that was not a true data issue Provide recommendations on process improvements to enhance overall data quality To be successful in this role, these qualifications are a must:

Who We Are At Corebridge Financial, we believe action is everything. That’s why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow. We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life: We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners. We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders. We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future. We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work. About The Role The Director of Analytics will be a key leader in our Analytics & BI practice. The ideal candidate will have deep experience in Life Insurance and/or Annuities. This role combines industry and domain knowledge, technical leadership, and strategic thinking to deliver high-impact insights. The Director will manage analysts, partner with data scientists/data teams, and interface with leadership stakeholders to create analytical solutions. Title and seniority are commensurate with experience. Responsibilities Collaborate with analytics, reporting, and competitive intelligence team members to translate life insurance and annuity objectives into actionable analytical output through hands-on analyses Oversee the design and delivery of scalable BI output and self-service analytics Be an influencer for analytical best practices, including data modelling, BI development, governance, and visualizations Serve as a subject matter expert for performance drivers of insurance products, supporting internal/industry data and applicable processes Required Skills and Qualifications Preferred Qualifications Knowledge of data science workflows, advanced analytics approaches, machine learning techniques Experience implementing or overseeing BI automation and self-service delivery mechanisms Track record of performance in prior roles within the insurance industry Adept at peer and stakeholders influence in a complex matrix organization Experience managing analytical teams Compensation The anticipated salary range for this position is $120,000- $150,000 at the commencement of employment.  Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered will ultimately be dependent on multiple factors, which may include the candidate’s geographic location, skills, experience and other qualifications. Work Location This position is based in Corebridge Financial’s Houston-TX, Woodland Hills-CA, Jersey City-NJ office and is subject to our hybrid working policy, which gives colleagues the benefits of working both in an office and remotely. Remote is an option for the right candidate. Travel Minimal travel Why Corebridge? At Corebridge Financial, we prioritize the health, well-being, and work-life balance of our employees. Our comprehensive benefits and wellness program is designed to support employees both personally and professionally, ensuring that they have the resources and flexibility needed to thrive. Benefit Offerings Include: Health and Wellness: We offer a range of medical, dental and vision insurance plans, as well as mental health support and wellness initiatives to promote overall well-being. Retirement Savings: We offer retirement benefits options, which vary by location. In the U.S., our competitive 401(k) Plan offers a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (subject to annual IRS limits and Plan terms). These Company contributions vest immediately. Employee Assistance Program: Confidential counseling services and resources are available to all employees. Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000. Volunteer Time Off: Employees may use up to 16 volunteer hours annually to support activities that enhance and serve communities where employees live and work. Paid Time Off: Eligible employees start off with at least 24 Paid Time Off (PTO) days so they can take time off for themselves and their families when they need it. Eligibility for and participation in employer-sponsored benefit plans and Company programs will be subject to applicable law, governing Plan document(s) and Company policy. We are an Equal Opportunity Employer Corebridge Financial, is committed to being an equal opportunity employer and we comply with all applicable federal, state, and local fair employment laws. All applicants will be considered for employment based on job-related qualifications and without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, neurodivergence, age, veteran status, or any other protected characteristic. The Company is also committed to compliance with all fair employment practices regarding citizenship and immigration status. At Corebridge Financial, we believe that diversity and inclusion are critical to building a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our colleagues are respected as individuals and valued for their unique perspectives. Corebridge Financial is committed to working with and providing reasonable accommodations to job applicants and employees, including any accommodations needed on the basis of physical or mental disabilities or sincerely held religious beliefs. If you believe you need a reasonable accommodation in order to search for a job opening or to complete any part of the application or hiring process, please send an email to TalentandInclusion@corebridgefinancial.com . Reasonable accommodations will be determined on a case-by-case basis, in accordance with applicable federal, state, and local law. We will consider for employment qualified applicants with criminal histories, consistent with applicable law. To learn more please visit: www.corebridgefinancial.com Functional Area: DT - Data Estimated Travel Percentage (%): No Travel Relocation Provided: No American General Life Insurance Company

Your role in our mission The successful candidate will join Prosper’s Credit Risk Management Department. The team leverages advanced analytics tools, cutting edge data and techniques to develop credit strategies that govern automated credit decisions in Prosper’s online marketplace. A Credit Risk Senior Analyst at Prosper can apply advanced statistical techniques, algorithms, and industry tools to develop solutions that predict and prevent credit risk associated with Prosper Personal Loans and Credit Cards products. An ideal candidate should have strong hands-on analytical skills and a passion for solving problems in innovative and effective ways. The faster and more agile risk strategies keep our marketplace competitive and ensure that we continue to deliver on our mission of advancing financial well-being. We are open to hiring at a Sr. Credit Risk Analyst or Credit Risk Analyst level. Sr. Analyst - Bachelor's degree and 5+ years of working experience or Master's degree with 3+ years of working experience Analyst - Bachelor's or plus degree and 2+ years of working experience How you'll make an impact Develop credit strategies to improve the credit performance by using data, machine learning models and advanced analytics tools to optimize risk decisions Lead end-to-end risk and analytics strategy for Prosper's Credit Card, from pre-launch through portfolio optimization, including underwriting policies, pricing and credit line strategies, and acquisition frameworks that balance growth targets with risk parameters Bring innovative/out of the box thinking to make recommendations and to approaching/solving problems Design A/B tests and understand the risk-return trade-offs Partner with Product, Marketing and Engineering teams to implement strategies and monitor the strategy performance Continue to innovate by testing new data, analytics approaches and models Conduct ad-hoc analysis related to risk management, investor services, product, and operations Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance driver Communicate findings and recommendations to the Risk Management and broader Prosper community Skills that will help you thrive Sr. Analyst level: Bachelor's degree in Business, Statistics, Mathematics, Computer Science, Engineering or Economics and 5+ years relevant experience managing credit/ fraud risk OR a Master's degree in above areas with 3+ years relevant experience Analyst level: Bachelor's degree in above areas with 2+ years relevant experience managing credit/ fraud risk OR a Master's degree in above areas with less experience Experience in credit risk management and/or fraud and/or data science in consumer lending industry, consumer credit card experience is a plus Background in product launches, new portfolio buildout, or go-to-market analytics is a plus Strong analytical and problem-solving skills Experience using machine learning and statistical models to develop strategies Must have strong proficiency in SQL, Python and Tableau. Knowledge of R and Knowledge Seeker will be a plus