Fraud and Lead Quality Analyst

LendingTree • Charlotte, NC

96d

About The Position

Under the direction of the Security Program Manager, the Fraud and Lead Quality Analyst works in a cross-functional capacity to build and maintain an efficient enterprise-wide fraud detection and management program, as well as ensuring overall quality of leads passed to partners, with the overall goal of ensuring high lead quality and low false positive/negative rates. The Analyst is responsible for providing data-driven analysis and operational management of our fraud and lead quality management program, including but not limited to evaluating, maintaining, and upgrading various fraud detection platforms, performing analysis of suspected organized fraud activity, monitoring for fraud-related security incidents, tailoring our detection models to reduce false positives, improve non-fraud lead quality, and working with the business development and sales teams to produce a fraud program that is tailored to the unique risks of each business vertical. This individual is also responsible for creating a feedback process with partners and marketing teams for proactive and continuous feedback driven improvements to overall lead quality. The Fraud and Lead Quality Analyst position will take responsibility for data-driven management of our fraud management & lead quality assurance programs, using a data analytics skillset applied across multiple data repositories (Snowflake, SumoLogic, etc.) including presentation of findings in business intelligence formats (PowerBI, Tableau). A successful candidate will partner with multiple business units to build an effective and customized fraud management & lead quality assurance program tailored to our unique business risks & requirements.

Requirements

• 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 fraud detection and management in a FinTech context, including knowledge of common fraud techniques, strongly preferred.

Nice To Haves

• Experience with information security tooling such as SIEM/SOAR platforms and CDN/Cloud Security platforms (Cloudflare specifically) preferred.
• 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.
• 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.

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.

What This Job Offers