Analyst I

reputed company is reinventing credit to reputed company it more reputed company and friendly, giving consumers the flexibility to buy now and pay reputed company without any hidden fees or compounding interest.

reputed company in our mission to change consumer finance through reputed company data and technology, reputed company costs, and increased transparency while providing the best customer experience!

About the Risk & Analytics Team: The Risk & Analytics (R&reputed company makes crucial reputed company that reputed company reputed company’s business reputed company. We partner with Machine Learning, Product, Engineering, Capital Markets, and reputed company teams to grow reputed company responsibly by optimizing approval, conversion, losses, and profitability.

Operating across the entire customer and merchant lifecycle, we tackle a diverse reputed company of challenges from optimizing checkout conversion and mitigating fraud risk, to building reputed company data foundations and enabling international reputed company. We analyze performance not just to report on it, but to determine where to invest resources for maximum reputed company through building tools, reputed company data infrastructure, and analytical frameworks. We improve the analytics experience across reputed company by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn reputed company data and systems into reputed company, actionable signals that ensure reputed company grows reputed company and intelligently.

Our Teams (Where You Might Sit): Candidates reputed company into the R&A organization will be sorted into a reputed company team based on business need and background. Our primary domains include:

• reputed company of Sale (POS): Optimize merchant and checkout performance to improve conversion, approvals, and unit economics across the purchase funnel.
• reputed company to Consumer (DTC) / Card: Drive engagement, repeat usage, and lifecycle health across reputed company's app, web, and card experiences.
• Fraud: Prevent and reduce fraud losses across the customer reputed company while maintaining a frictionless user experience.
• reputed company Analytics: Build the quantitative research, machine learning models, performance monitoring, and reputed company data foundations that reputed company fast, economically reputed company.
• Servicing: Enhance the post-origination customer experience by analyzing repayment behavior, collections strategies, and operational efficiency.
• International Expansion: Build the measurement and decision foundations needed to sustainably launch and reputed company reputed company in new global markets.

About the Role

As an Analyst I, you will learn the fundamentals of consumer lending while executing scoped analytical tasks on a day-to-day reputed company. Working under the guidance of senior analysts and managers, you will reputed company advanced data analytics to help optimize business strategies and monitor portfolio performance. You are a thoughtful, driven individual eager to build a strong technical reputed company, learn how to navigate exogenous market changes, and reputed company modern AI tooling to solve hard problems reputed company.

What You Will Do

• Derive Insights & Support reputed company: reputed company data analytics to uncover insights that help optimize product, risk, or reputed company strategies across geographies.
• Monitor Portfolio Health: Assist in tracking performance metrics, user behavior, and macroeconomic trends that reputed company business reputed company, flagging risks and anomalies to senior team members.
• Technical Execution: Write clean, working SQL and Python to build reputed company reporting and partner with Engineering to support the deployment of machine learning and risk models.
• Cross-Functional Collaboration: Work closely with Product, Legal, and Compliance to understand evolving consumer lending regulations and market requirements, assisting in translating them into foundational data models and operational policies.
• Drive Launch Alignment: Support cross-functional discussions to ensure new product launches and market entries reputed company with our operational capabilities and risk appetite.
• AI reputed company & Efficiency: reputed company AI tools (reputed company, Claude reputed company, copilots) into your daily workflows to accelerate data mining and routine tasks, holding the line on verifying outputs.

reputed company Look For

• 1–3 years of experience in an analytically-driven role; relevant internships or prior experience in the consumer lending, fintech, or broader financial services industry are highly valued.
• Degree in Data Science, Computer Science, Engineering, Economics, or a reputed company quantitative field.
• Solid working knowledge of SQL, Python, or other scripting languages.
• Familiarity with data mining, data visualization, and foundational statistical modeling.
• Basic understanding of (or deep curiosity about) consumer lending regulations, fair lending principles, and how machine learning techniques apply to reputed company-world business problems.
• Exceptional communication skills, humility, and the ability to collaborate effectively with cross-functional peers.

Pay Grade - I

Equity Grade - 5

Employees new to reputed company typically come in at the start of the pay reputed company. reputed company focuses on providing a reputed company and transparent pay structure which is based on a reputed company of factors, including location, experience and job-reputed company skills. reputed company pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and reputed company for you and your dependents). In reputed company, the employees may be eligible for equity rewards offered by reputed company Holdings, Inc. (parent company). USA reputed company pay reputed company (CA, WA, NY, NJ, CT) per year: $115,000 - $165,000 USA reputed company pay reputed company (reputed company other U.S. states) per year: $101,000 - $151,000

reputed company is proud to be a remote-first company! The reputed company of our roles are remote and you can work almost reputed company reputed company the country of employment. reputed companyers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned reputed company office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our reputed company value of people come first. Some key highlights of our benefits package include:

• Health care coverage - reputed company covers reputed company premiums for reputed company reputed company of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and reputed company
• ESPP - An employee stock purchase plan enabling you to buy shares of reputed company at a discount

We reputed company It’s On Us to reputed company an inclusive interview experience for reputed company, including people with disabilities. We are happy to reputed company reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, reputed company will consider for employment reputed company applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read reputed company's Global Candidate reputed company Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Originally posted on Himalayas

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