LendingTree · 3 months ago
Fraud and Lead Quality Analyst
Charlotte, NC
Full-time
Hybrid
Entry, Mid Level
2+ years expLendingTree is the nation's leading online lending marketplace, connecting consumers with multiple lenders to facilitate loan comparisons. The Fraud and Lead Quality Analyst will manage and enhance the fraud detection and lead quality assurance programs, utilizing data analytics to ensure high-quality leads and minimize fraud incidents.
Commercial LendingCreditCredit CardsE-CommerceFinanceFinancial ServicesFinTechLendingMarketplaceMobile Apps
Responsibilities
Provides ongoing data-driven analytics on fraudulent activity to improve the efficacy and accuracy of our fraud detection and management program
Provides ongoing data-driven analytics on overall lead quality to improve the value of our core business and ensure productive long-term relationships with our partners
Use these analyses to make data-driven improvements to both fraud and quality assurance programs
Work with vendors to continuously evaluate and improve the value proposition of purchased fraud/quality control products and services
Use API-based connectors to collect and transfer data from multiple sources to our data warehouse Snowflake
Once in Snowflake, write custom queries and perform necessary data manipulation to gather and organize this data and create live-view dashboards providing real-time monitoring of suspected fraudulent activity or other security data
Employs machine learning techniques to continually update and improve the accuracy and effectiveness of our fraud and quality assurance programs
Works in cross-functional capacity to address business needs and ensures our fraud management and quality assurance programs are tailored to the unique risks faced by different parts of the business
Monitors the fraud detection program for suspected organized fraud incidents and works with other parts of the business like the Customer Contact Center to identify and respond to fraud activity in a timely and efficient manner
Work with partner financial institutions to investigate and help remediate any concerns about fraud or lead quality in a timely and efficient manner
Maintains compliance with various regulatory requirements regarding fraud management and reporting across the company
Performs other information security related data analysis and presentation as required
Qualification
Required
At least two years professional experience in fraud management or lead quality assurance required, preferably in the financial technology (FinTech) industry
Strong data analytics/data engineering skillset required, including demonstrated expertise using data warehouses such as Snowflake, logging technologies such as Sumologic, and business intelligence tools such as Tableau
Experience with various financial fraud management techniques including but not limited to metadata analysis, identity matching, and automated activity detection
Experience with quality assurance techniques including methods of assessing contact information quality, OTP verification, and lead quality segmentation
Strong skill with modern cloud data solutions, specifically Snowflake data warehouse
Strong skill with database analysis techniques including querying, DML (data manipulation language), DDL (data definition language), and CTE (common table expressions.)
Skill with business analytics tools such as PowerBI and Tableau, specifically in the creation and presentation of live-view data dashboards
Maintains compliance with various regulatory requirements regarding fraud management and reporting across the company
Preferred
Experience with fraud detection and management in a FinTech context, including knowledge of common fraud techniques, strongly preferred
Experience with information security tooling such as SIEM/SOAR platforms and CDN/Cloud Security platforms (Cloudflare specifically) preferred
Knowledge of various fraud attack vectors including but not limited to phishing/spearphishing, identity fraud, account takeovers, payment method fraud, and platform impersonation
Knowledge or experience with fraud detection and management platforms (examples: TransmitSecurity, ThreatMetrics, TransUnion Digital Identity Risk Pro, IBM Safer Payments, etc.) is a plus
Knowledge of machine learning models and how they are used for real-time adaptive analysis of large datasets, and how to use these models to improve detection accuracy, is a plus
Knowledge of baseline internet infrastructure including web protocols, web application design, automated attack prevention ('bot' framework) and web API infrastructure
Knowledge of industry standard information security tools, techniques, and procedures, including knowledge of SIEM/SOAR platforms, cloud security platforms, and enterprise risk management best practices, is a plus
Strong cross-functional collaboration skill with both technical and non-technical audiences, including the ability to incorporate non-technical needs into technical requirements (example: ability to receive a non-technical business request and translate that request into a technical improvement to the fraud detection program)
Benefits
Generous benefits
Wellness programs
Time-off policies
Company
LendingTree
LendingTree is an online lending exchange that connects consumers with multiple lenders who compete for their business.
501-1000 employees
H1B Sponsorship
LendingTree has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (21)
2024 (19)
2023 (21)
2022 (29)
2021 (58)
2020 (61)
Funding
Current Stage
Public CompanyTotal Funding
$650MKey Investors
Apollo
2025-08-21Post Ipo Debt· $475M
2024-03-27Post Ipo Debt· $175M
2008-08-12IPO
Leadership Team
Jason Bengel
CFO
Recent News
2026-01-08
Benzinga.com
2025-11-18
2025-11-10
Company data provided by crunchbase