Fraud Data Science
hace 2 semanas
About Us: Vana is a fintech company founded in 2018, specializing in providing quick and accessible personal loans through a user-friendly Android application. By leveraging non-traditional data sources and machine learning algorithms, Vana offers consumer financing solutions to individuals who may not have access to traditional credit facilities. Vana is committed to addressing the significant market demand for quick and affordable credit access in Latin America, aiming to empower users by providing convenient loans that can be applied for in minutes through their Android app. As a Data Scientist focused on fraud prevention, you will play a key role in designing and developing models that help identify anomalous behavior, suspicious transactions, and fraud‑related patterns. You’ll work with large datasets and apply supervised and unsupervised machine learning techniques to strengthen our fraud detection systems and automate decision‑making. This role requires a strong understanding of imbalanced classification problems, solid feature engineering skills, and the ability to adapt models to evolving user behavior and new fraud strategies. Experience in fintech, banking, insurance, or other industries with a strong focus on fraud prevention and automated controls is desirable. Responsibilities Data analysis and modeling: Explore large‑scale transactional and behavioral datasets to uncover patterns associated with fraud. Model development and validation: Build and validate classification models using ML techniques tailored to imbalanced problems (fraud vs. non‑fraud). Feature engineering: Create derived variables that enhance model performance and generalization while avoiding overfitting. Cross‑functional collaboration: Work with engineering, product, and operations teams to ensure seamless integration of models into decision flows. Monitoring and iteration: Track model performance in production and iterate based on behavioral changes, fraud trends, or strategy shifts. Research and innovation: Stay up to date on cutting‑edge ML techniques for fraud detection in digital transactional environments. Requirements Degree in Data Science, Statistics, Mathematics, Computer Science or a related field with strong programming skills (MUST) 1-2 years of experience in Data Science, Data/Business Analytics (with ML knowledge) (MUST) 2+ years of Python and SQL experience (MUST) Knowledge of fraud detection, anomaly detection, or modeling with imbalanced datasets (MUST) Industry background in fintech, insurance, or banking is valued but not required (DESIRABLE) AWS Services knowledge is a Plus (DESIRABLE) Strong analytical skills and a problem‑solving mindset, with the ability to extract actionable insights from data (MUST) Understanding of consumer behavior, alternative data sources, and digital lending platforms (DESIRABLE) #J-18808-Ljbffr
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Fraud Data Science
hace 2 semanas
Guatemala / Argentina / Honduras / Republica Dominicana / Perú Vana A tiempo completoAbout Us: Vana is a fintech company founded in 2018, specializing in providing quick and accessible personal loans through a user-friendly Android application. By leveraging non-traditional data sources and machine learning algorithms, Vana offers consumer financing solutions to individuals who may not have access to traditional credit facilities. Vana is...
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Fraud Data Scientist – Fintech ML for Fraud Prevention
hace 2 semanas
, , Argentina Vana A tiempo completoA fintech company in Argentina is seeking a Data Scientist focused on fraud prevention. You will design models to detect fraudulent behavior, work with large datasets, and collaborate with various teams to integrate solutions. Ideal candidates have a degree in Data Science with 1-2 years of relevant experience, strong Python and SQL skills, and a good...
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Fraud Business Intelligence Analyst
hace 2 semanas
, , Argentina Vana A tiempo completoAbout the Role We’re looking for a Fraud BI Analyst with hands-on experience in fraud prevention and risk analysis to strengthen our fraud detection and monitoring ecosystem. This role combines data analysis, rule design, and operational investigation — requiring both analytical rigor and creativity to anticipate fraud patterns and improve our protection...
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Fraud Analyst
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Argentina Jobgether A tiempo completoThis position is posted by Jobgether on behalf of a partner company. We are currently looking for a Fraud Analyst in Argentina. This role offers the opportunity to take full ownership of fraud detection and prevention within a fast-growing, data-driven environment. You will analyze large datasets, identify fraud patterns, and design risk logic to protect...
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Data Consultant
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Argentina Making Science A tiempo completoAbout Making ScienceMaking Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet — the world's premier network of...
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Software Engineer
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, , Argentina Félix A tiempo completoAbout Us At Félix, we're building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances. Our core product is an AI-powered chatbot built on WhatsApp, allowing our users to send money home as easily as sending a text message. Leveraging cutting-edge technology such as AI, blockchain, and stablecoins, we make...
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GenAI Product Manager – ML Platform for Fraud Prevention
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, , Argentina Sardine A tiempo completoA leading fraud prevention company is seeking a talented individual to define and launch the next generation of GenAI features. This role involves owning the ML platform used to detect financial crimes and requires collaboration with Data Science, Engineering, and Sales. Candidates should have experience as a Data Scientist or ML Engineer and a background in...
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Lead Fraud Operations Analyst
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, , Argentina Apollo.io A tiempo completoApollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion....
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Fraud Investigations Manager
hace 7 días
Argentina Félix A tiempo completoAbout Us At Félix, we're building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances. Our core product is an AI-powered chatbot powered by WhatsApp, allowing our users to send money home as easily as sending a text message. We leverage cutting-edge technology like AI, blockchain, and stablecoins to make...
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Senior Data Scientist
hace 3 semanas
, , Argentina Somnio Software A tiempo completoExplore and extract insights from data within the d-local environment. Build machine learning models, optimization solutions, and statistical inference techniques for anomaly detection, fraud prevention, etc. Research, prototype, and test new methodologies to measure effectiveness and develop predictive algorithms. Regularly communicate results to senior...
