Fraud Analyst

PLEASE NOTE: This position is located in our Charlotte, NC office. We offer a hybrid work schedule (three days in the office and two days of teleworking) to accommodate for flexibility.

THE POSITION 

Under the direction of the Information Security – Incident Response Manager, the Fraud Analyst works in a cross-functional capacity to ensure the efficiency and efficacy of the enterprise-wide fraud detection and management program. The Fraud Analyst is responsible for providing data-driven analysis and recommendations regarding our fraud 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, 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.

ROLE OVERVIEW

The Fraud Analyst position will involve hands-on fraud intelligence gathering using multiple data repositories (Snowflake, SumoLogic, etc.) and presentation of findings in business intelligence formats (PowerBI, Tableau). It will also involve designing effective fraud detection and prevention controls in response to that intelligence and driving the implementation of those controls in a cross-functional manner, partnering with multiple business units to build an effective and customized fraud management program tailored to our unique business risks and requirements.

Primary Responsibilities:

• Provides data-driven threat intelligence on fraudulent activity to improve the efficacy and accuracy of our fraud detection and management program.
• Design effective and adaptive fraud detection and prevention mechanisms, processes, and policies in response to this intelligence and drive implementation of these improvements.
• 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 the fraud detection program.
• Contributes to the development of our fraud detection platforms in partnership with Engineering and Information Security teams by providing data-driven feedback on the effectiveness of various detection tools, processes, and systems.
• Works in cross-functional capacity to address business needs and ensures our fraud management program is tailored to the unique risks faced by different parts of the business.
• Guides the development of our fraud management program by using data-driven analysis to ensure that security requirements are balanced with business needs throughout the development and implementation of new features of our fraud management program.
• 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.
• 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.

Knowledge and Skills:

• 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.)
• 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.
• 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.
• 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)

Qualifications:

• Minimum of two years of professional data analytics experience in a fraud or information security context, preferably within the financial technology (FinTech) industry.
• Strong experience with modern cloud data solutions, specifically Snowflake data warehouse.
• Proficiency with business analytics and intelligence tools such as Tableau and PowerBI.
• Experience in fraud detection and management within a FinTech environment, including knowledge of common fraud techniques.
• Familiarity with information security tooling, such as SIEM/SOAR platforms (e.g., Devo) and CDN/Cloud Security platforms (e.g., Cloudflare), strongly preferred.

COMPANY

LendingTree is the nation’s largest online lending marketplace. That means we connect customers with multiple lenders so they find the best deals on loans, credit cards, savings accounts and insurance. Our goal is to help people save money, and we believe the best way to do that is by giving them a way to shop for loans and compare lenders so they make their best financial choices.

Our CEO Doug Lebda founded the company in 1996 after a frustrating house-hunting experience. In those days, we mostly helped people find good mortgage deals. Now, we help consumers find their best in personal loans, auto loans, business loans, student loans, credit cards, savings accounts, home equity loans and more.

What else you should know: 

• We’re a publicly-traded company (TREE).
• We’ve welcomed several other companies into the LendingTree family to augment our efforts at helping borrowers make their most sensible financial choices.
• We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.  

CULTURE

We’re a fast-paced company with an entrepreneurial bend. We work hard and test our products often. We’re collaborative, ambitious, candid and high-energy. Our teammates are some of the brightest, most talented people you’ll ever work with. We care more about your smarts than we do about the kinds of clothes you wear (but please, do wear clothes to work!), and we’re pretty good about rewarding innovation, creativity and the knack for just getting stuff done (we even have an award for employees called the GSD, “Get Stuff Done”). 

Come work with us!

LendingTree is the kind of company that not only promotes diversity and inclusion; we thrive because of these values. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation or military status.

CCPA Disclosure