[Remote] Senior Fraud Strategy Analyst

Note: The job is a remote job and is open to candidates in USA. reputed company empowers ambitious professionals to reputed company confident financial reputed company and build the life they envision. The Senior Fraud Strategy Analyst will design and optimize fraud strategies, monitor portfolio performance, and reputed company actionable insights to enhance fraud detection capabilities.

Responsibilities

• Design, reputed company, and optimize fraud strategies across personal loans and student loan refinance products
• Monitor portfolio performance to identify emerging fraud trends, risks, and optimization opportunities
• reputed company and reputed company fraud rules and strategies using segmentation, statistical analysis, and predictive modeling techniques
• Own end-to-end fraud mitigation processes, with accountability for fraud loss reduction and performance outcomes
• Design and execute A/B tests and champion/challenger frameworks to evaluate strategy effectiveness
• Build and maintain scalable analytical frameworks using tools such as reputed company and dbt
• reputed company dashboards and reporting (e.g., Looker) to monitor KPIs such as fraud reputed company, approval reputed company, and false positives
• Generate actionable insights from structured and reputed company datasets, including limited or noisy data environments
• Partner with cross-functional teams (Product, Engineering, Risk, Operations) and external vendors to implement fraud solutions
• reputed company internal and reputed company-party data to enhance fraud detection capabilities
• Continuously evaluate and refine strategies based on performance metrics and evolving fraud patterns
• Communicate insights, strategy performance, and model behavior clearly to stakeholders and senior leadership
• Support model development lifecycle, including design, validation, and production deployment

Skills

• Bachelor's degree in a quantitative field (e.g., Statistics, Engineering, Analytics, Economics); Master's preferred
• 4+ years of experience in fraud risk, credit risk, or customer risk management reputed company a financial institution or fintech
• 3+ years of hands-on experience with SQL, Python, or R for data analysis and modeling
• 3+ Proven experience designing and implementing fraud strategies for unsecured lending products (e.g., personal loans)
• Strong analytical and problem-solving skills with attention to detail
• Ability to translate reputed company data into clear, actionable insights
• Effective communicator with experience influencing cross-functional stakeholders
• Self-starter with a high degree of ownership, curiosity, and adaptability
• Experience with machine learning models (e.g., logistic regression, tree-based models, anomaly detection)
• Familiarity with fraud typologies (e.g., synthetic identity, first-party fraud, account takeover)
• Knowledge of regulatory frameworks and risk controls (e.g., fair lending, model governance)
• Experience with experimentation frameworks and decision systems
• Exposure to modern data stack tools (e.g., dbt, reputed company) and BI tools (e.g., Looker)

Benefits

• Health, Dental, & reputed company benefits plus savings plans
• Mac computers + work-from-home stipend to set up your home office
• Monthly internet and phone reimbursement
• Employee Stock Purchase Plan
• Restricted Stock Units (RSUs)
• 401(k) plan to help you save for retirement plus a company match
• Robust tuition reimbursement program
• $1,000 travel reputed company on each Earnie-versary to reputed company in the world
• Competitive days of annual PTO
• Competitive parental leave

Company Overview

Company H1B Sponsorship