Define and execute a global analyst relations strategy, build executive relationships with top-tier analysts, and lead key analyst evaluations to strengthen market positioning and influence industry narratives.

Title: Senior Analyst - Credit Analytics Credit Execution Location: HQ_Wilmington DE Management Job Description: Full time job requisition id R2604-50422 Senior Analyst - Credit Execution Schedule: Full-Time Hybrid We are seeking a Senior Analyst to join our Credit Analytics Credit Execution Team to support the implementation of credit and pricing-related strategies and models for the personal loans’ portfolio across affiliate and partner platforms. This role will focus on delivering high-quality work products across various credit execution and decisioning operations engagements, collaborating closely with Data science, Analytics, Product, and Technology partners. You will work across platforms such as Credit Karma LightBox, Experian Activate, and other affiliate engagement channels, as well as backend decisioning platform integrations, to drive business impact through disciplined technical execution. In the Role - Implement credit and pricing-related strategies into production-ready logic for personal loan origination workflows across affiliate platforms and backend decisioning systems. - Own end-to-end delivery, with minimum supervision, of strategy and model deployments, from requirements intake and technical specification through testing, validation, and production release. - Serve as the execution point of contact for affiliate platform integrations, developing and maintaining platform-specific configurations, eligibility logic, and offer presentation workflows. - Build and maintain Python-based scripts, data pipelines, and automation tools to support batch file generation, data extraction, eligibility processing, and reporting workflows. - Write and optimize SQL queries for data analysis, strategy validation, and portfolio performance monitoring across large-scale datasets. - Design and execute test-and-control frameworks (e.g., A/B split designs, eligibility segmentation) for new strategy rollouts and affiliate integrations. - Monitor deployed models and strategies and affiliate channel performance against expected benchmarks and recommend data-driven optimizations. - Prepare and deliver high-quality documentation, executive summaries, and evaluation materials for leadership review. - Proactively identify process improvement opportunities across the credit execution lifecycle and propose solutions backed by data. Required - Bachelor’s degree in computer science, engineering, or related quantitative field (Master’s degree preferred) and 4+ years in financial services with experience in credit risk, lending operations, or decisioning. - Strong Python programming expertise, including proficiency with core data structures, object-oriented programming principles, and standard libraries (pandas, NumPy, requests). - Proficiency in SQL and experience working with large datasets (Snowflake, SQL Server, or equivalent). - Solid understanding of modern system architecture concepts (microservices, APIs, event-driven design). - Familiarity with containerization concepts (Docker, Kubernetes) and CI/CD pipelines. - Understanding of version control (Git) and modern software development practices. - Demonstrated ability to work independently with minimal oversight and drive initiatives through ambiguity. - Strong written and verbal communication skills with the ability to influence stakeholders and clearly articulate opportunities, trade-offs, and recommendations. Preferred - Experience in credit decisioning or personal loan origination workflows within the financial services domain. - Familiarity with Credit Bureau data formats, basic statistics, and experience with data wrangling & visualization. - Exposure to LLM/AI tooling for process automation, documentation generation, or code assistance within a professional context, but not reliant upon LLM/AI. - Hands-on experience with Jira-based workflows, sprint capacity planning, and Agile delivery practices. Who We Are OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-timers with: - Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances - Up to 4% matching 401(k)   - Employee Stock Purchase Plan (10% share discount)   - Tuition reimbursement   - Paid time off (15 days’ vacation per year, plus 2 personal days) - Paid sick leave as determined by state or local ordinance, prorated based on start date - Paid holidays (11 days per year, based on start date) - Paid volunteer time (3 days per year, prorated based on start date) OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.

Lead compensation program administration and analysis, evaluate job pricing using market data, and enhance HR dashboards while collaborating with cross-functional teams to drive data-informed decision-making and improve compensation processes.

Title: Analyst, Fraud Strategy Location: New York, NY locations Chicago New York, NY time type Full time Job Description: About Grubhub At Grubhub, we champion restaurants from coast to coast. Restaurants sit at the heart of communities. It’s our mission to strengthen their roots, deepen their connections, and increase the positive impact they have on people and society. Grubhub, part of Wonder, delivers the best local, authentic cuisine right to diners’ doors—and new customers and billions in revenue to local businesses. Featuring over 375,000 merchants in over 4,000 cities nationwide, our innovative technology, user-friendly platforms, and streamlined delivery capabilities have made us an industry leader in the world of online food ordering. Since we opened our doors in 2004, Grubhub has been opening doors all across the country. Bakery doors in Hyde Park, jibarito joint doors in Queens, and doors of opportunity all across the country. Join our team and help us open more. About The Opportunity As a Fraud Analyst, you will play a critical role in protecting the business from fraud losses while enabling sustainable growth. You will leverage data, analytics, and cross-functional collaboration to design fraud prevention strategies, build solutions, and deliver actionable insights that drive impact. The Impact You Will Make - Assess fraud risks, evaluate controls, and identify gaps to help prioritize fraud mitigation projects. - Develop and implement fraud detection rules using segmentation, predictive models, hypothesis testing, and other analytical methods. - Investigate and analyze the latest fraud trends, designing proactive strategies to address them. - Own and manage key processes to reduce fraud losses, including real-time monitoring, alerting, and performance tracking. - Partner with stakeholders across Finance, Technology, Product, Marketing, Logistics, Legal, PR, Security, and other teams to leverage both company and third-party data. - Design and execute A/B tests to measure the effectiveness of fraud prevention strategies. - Conduct ad-hoc analyses, clearly communicate results, and present actionable insights to both senior management and technical/non-technical stakeholders. - Independently manage small to medium-sized projects, while supporting larger initiatives with cross-functional collaboration. What You Bring to the Table - Education & Experience - Bachelor’s degree in a quantitative discipline (or equivalent work experience). - 3–5 years of experience in fraud, risk, payments, analytics, or statistical roles. - Prior exposure to statistics and machine learning modeling techniques through coursework or professional experience. - Technical Skills - Proficiency in SQL and experience with R or Python for data analysis and statistical modeling. - Hands-on experience with data visualization tools such as Tableau or Excel. - Experience automating reporting and building monitoring dashboards. - Knowledge of fraud vectors, tools, strategies, and infrastructure in high-volume digital environments. - Core Competencies - Strong quantitative, analytical, and problem-solving skills with sharp attention to detail. High level of inquisitiveness, initiative, and critical thinking. - Proven ability to translate analysis into implementable strategies and rules. - Strong project management skills, including cost-benefit assessment, prioritization, documentation, and follow-through. - Excellent communication skills, able to convey findings clearly to technical and non-technical stakeholders. (Optional) Got These? Even Better - Experience in a digital marketplace or platform environment with high transaction volumes. - Familiarity with advanced fraud detection systems, real-time monitoring frameworks, or machine learning approaches. - Strong track record of effectively presenting insights to senior management and executive stakeholders. As a matter of company policy, Wonder does not sponsor applicants for employment visa status for this role. Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome—and encouraged—to be in the office up to 5 days a week if it works for you. New York Base Salary: $96,000-$102,000 per year. Illinois Base Salary: $86,500-$92,000 per year. Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience. Benefits We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.  A Final Note At Wonder, we build the best teams by hiring with an objective lens — evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know. We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.