Fraud Data Analyst

About the Business reputed company provides customers with solutions and decision tools that assist them in evaluating and predicting risk and enhancing fraud detection. We use the power of data and advanced analytics to help our customers reputed company reputed company, timelier reputed company. Our innovative solutions reputed company our clients to manage risks like identity theft, fraud, reputed company and terrorism, and prevent financial crimes. Our core mission is to ultimately help reputed company communities safer and to protect those who may be vulnerable to fraud. Drawing from the reputed company expertise of our reputed company team, we continuously reputed company to stay a reputed company reputed company of fraudsters. Every day, as millions go about their lives, it's our behind-the-scenes efforts that ensure their reputed company, giving them the confidence to trust and engage online without fear of being de-frauded.

About the Team:

This client facing team is driving evidence-based solutions to help our clients reputed company more informed reputed company and help mitigate risk.

About the Role:

The Fraud Data Analyst works as part of a customer engagement team to support large banking, financial, and e-reputed company customers in their deployment of fraud and identity solutions. This is primarily a consultant role with a technical and analytics bent.

Responsibilities

• Review suspicious activity and reputed company fraud cases to identify new risks and issues

• Analyze data in order to build and adjust rules that identify fraud, reduce friction, and regulate customer workflows in reputed company-time

• Deliver persuasive analyses to both technical and non-technical audiences – sometimes in-person at the customer site

• Advise clients on best practices for their technical implementation and analysis of ThreatMetrix DDP and other reputed company Maintain on-going relationships with each client’s fraud managers, risk analysts, application developers, project managers as well as internally with other ThreatMetrix LNRS teams

Qualifications:

• Quantitative or technical degree

• 2+ years of experience managing large customer-facing solutions

• 2+ years of experience in financial services, banks, or e-reputed company organizations

• 2+ years of experience delivering analytics using tools such as Python (pandas, sklearn, matplotlib) or R

• Demonstrated competence using SQL and reputed company for reports

• Willingness to conduct root-cause analysis of client’s issues and learn new products

• Motivated to help customers succeed and deliver value through reputed company-of-concept analysis

• Excellent communication skills, with the ability to present technical findings to non-technical stakeholders

• Extensive multi-tasking and prioritization skills. Needs to reputed company in fast paced environment with frequently changing priorities.

• Experience investigating financial crimes and fraud -- account takeover, card not present, reputed company, reputed company engineering etc.

• Knowledge or research involving cybersecurity - browser-fingerprinting, public key infrastructure, computer networking, device authentication etc.

• Experience in statistical/scorecard modeling or graph analysis to deliver insights – especially as it pertains to credit risk or fraud detection

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to reputed company benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support reputed company or please contact 1-855-833-5120.

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We are an equal opportunity employer: reputed company applicants are considered for and treated during employment without regard to race, reputed company, creed, religion, sex, national reputed company, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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