Antifraud Analyst

At NOVACARD, we’re redefining how people use credit. We are the first interest-free and no-annual-fee credit card in Mexico, designed to simplify personal finances and give users complete control - all from a mobile app. With NOVACARD, users can access up to $200,000 MXN in credit, only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals.

About the Role:
We’re looking for an Antifraud Analyst to join the NOVACARD Risk Tech team and help strengthen our fraud detection and prevention processes. In this role, you will investigate suspicious activities, analyze fraud patterns, and support the development and improvement of antifraud rules. You will work with data to identify anomalies, monitor partner and transaction activity, and collaborate with risk, data, and operations teams to improve fraud detection and monitoring efficiency.

Key Responsibilities:

• Conduct deep-dive investigations of suspicious cases, including detailed analysis of fraud incidents that bypass existing detection systems, identifying links between fraudulent profiles and uncovering new fraud patterns and schemes

• Perform initial authorization and verification of POS partners, as well as ongoing monitoring of merchant and agent activity to identify signs of collusion, fraud farms, and manipulation at points of sale

• Develop, implement, and continuously optimize antifraud rules and detection logic used in application approval processes and transactional monitoring

• Evaluate and analyze data from external sources (credit bureaus, vendors, and third-party services) and integrate them into fraud detection and prevention processes

• Prepare regular antifraud reports covering fraud levels, rule effectiveness, and overall portfolio quality

• Support antifraud analytics by working with data marts and datasets in the company’s Data Warehouse (DWH)

• Perform quality assurance (QA) of antifraud-related processes handled by first-line and second-line teams

• Process and investigate antifraud-related requests coming from customer support and verification teams, providing analysis and recommendations

Requirements

Requirements:

• Languages: Russian (native or fluent) and English B1+ (Intermediate) or higher

• Work experience: 1–3 years of experience as an antifraud analyst, fraud investigator, or risk underwriter in fintech or banking

• Education: Higher education (incomplete higher education is acceptable if the candidate has relevant professional experience)

• Analytical thinking: Ability to identify patterns and anomalies within large datasets

• Ownership and independence: Ability to drive tasks end-to-end, from detecting anomalies to implementing fraud prevention rules

• Curiosity and investigative mindset: Willingness to go beyond standard procedures and proactively identify new and unconventional fraud schemes

• Hard skills: Strong knowledge of SQL (joins, aggregations) and Excel (pivot tables, advanced formulas)

Nice to Have:

• Automation: Basic knowledge of Python or VBA to automate routine tasks

• Data visualization: Experience building dashboards using tools such as Tableau or Power BI

• Domain expertise: Experience working with POS lending or partner/merchant verification

• OSINT: Experience conducting investigations using open-source intelligence tools and publicly available data

What We Offer:

• Fully remote work format

• Official employment under the Russian Labor Code (if residing in Russia); contractor collaboration possible from other countries

• Opportunity to work in an international team on a new digital product in the Mexican market

• Work in a data-driven environment where your contributions have real impact

Originally posted on Himalayas