Analyst - Negative News

Job Description

We are looking for a Negative News Research Analyst to support our Third-Party Payment Processing (TPPP) client base by conducting in-depth research on various counterparties. This role is critical to ensuring the maintenance and expansion of a key dataset that feeds into our whitelisting process, enabling us to monitor potential mismatches effectively. While part of the broader Negative News team , this position will have a specialized focus on researching counterparties and identifying adverse media or risk indicators. Key Responsibilities: Conduct thorough negative news and adverse media research on counterparties using various databases, search engines, and open-source intelligence tools. Maintain and expand a structured dataset that supports the whitelisting process for TPPP clients. Analyze research findings to identify potential risks, inconsistencies, and mismatches that could impact the clients risk management framework. Work closely with the whitelisting and risk monitoring teams to ensure accurate classification and monitoring of counterparties. Document and report key research findings in a structured format for internal and client consumption. Stay updated with industry trends, emerging risks, and regulatory requirements related to third-party payment processing. Collaborate with internal teams to refine search methodologies, enhance data accuracy, and improve research processes . Required Skills & Qualifications: 1-3 years of experience in negative news research, due diligence, KYC, AML, or risk analysis. Strong research skills with the ability to analyze large volumes of information from open sources, databases, and financial intelligence tools. Experience working in Third-Party Payment Processing (TPPP), fintech, banking, or financial services is preferred. Familiarity with adverse media screening tools such as LexisNexis, World-Check, or Google Boolean searches. Attention to detail with the ability to identify patterns and inconsistencies in research findings. Strong written and verbal communication skills to document and present research findings effectively. Ability to work independently and collaboratively in a fast-paced environment. Proficiency in Microsoft Excel, Google Sheets, and other data management tools is a plus. Please share your cv at surbhi.malhotra@nlbtech.com