Risk Antifraud Analyst [CO Portfolio Risk]
- Role
- Data Science
- Experience
- Mid
Open to UTC-2…UTC+2. Set where you work from to check your eligibility.
No BS summary
Risk antifraud analyst with 3+ years in fraud/risk analytics for fintech, banking, lending, payments, microfinance, or gaming. Must have strong SQL, Python for data analysis, large-dataset experience, and B1+ English. Remote only within GMT-2 to GMT+2 or from company hubs.
Core skills
Optional skills
Required languages
Optional languages
Banco Plata, S.A., Institución de Banca Múltiple, Mariano Escobedo 476, First floor, Col. Anzures, Alc. Miguel Hidalgo, CDMX, C.P. 11590
© 2026 Copyright
Banco Plata, S.A., Institución de Banca Múltiple, Mariano Escobedo 476, First floor, Col. Anzures, Alc. Miguel Hidalgo, CDMX, C.P. 11590
© 2026 Copyright
Banco Plata, S.A., Institución de Banca Múltiple, Mariano Escobedo 476, First floor, Col. Anzures, Alc. Miguel Hidalgo, CDMX, C.P. 11590
© 2026 Copyright
Banco Plata, S.A., Institución de Banca Múltiple, Mariano Escobedo 476, First floor, Col. Anzures, Alc. Miguel Hidalgo, CDMX, C.P. 11590
© 2026 Copyright
What you'll do
- Design, develop, and improve antifraud strategies, rules, and decision-making processes across the lending lifecycle.
- Investigate fraud cases to identify organized fraud schemes, emerging patterns, and new attack vectors.
- Analyze large volumes of transactional, behavioral, device and customer graph data to uncover fraud signals and generate actionable insights.
- Evaluate external data sources, implement external products to the strategy based on Cost-Benefit analyses
- Develop, validate, and optimize fraud detection rules
- Use ML models in fraud detection, develop as an advantage.
- Monitor fraud performance metrics, identify weaknesses in existing controls, and propose improvements.
- Partner with Product, Risk Technology, Risk Portfolio, KYC, and Data Engineering teams to implement fraud prevention solutions while maintaining a seamless customer experience.
- Conduct deep-dive analyses and root cause investigations to continuously strengthen fraud defenses.
- Prepare analytical reports and present recommendations to stakeholders.
What they require
- 3+ years of experience in Fraud Analytics, Antifraud, Risk Analytics, or related analytical roles.
- Experience in fintech, banking, lending, microfinance, payments, or gaming industries.
- Degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative discipline.
- Strong SQL skills and hands-on experience working with large datasets.
- Proficiency in Python for data analysis.
- Solid understanding of fraud patterns, fraud detection techniques, and behavioral analytics.
- Strong analytical mindset with excellent attention to detail and the ability to investigate complex fraud scenarios.
- Knowledge of mathematical statistics and probability theory.
- B1 or higher English level for effective communication with an international team.
- Preferred: Experience launching or scaling fraud prevention functions in new markets or products.
- Preferred: Experience working with machine learning models for fraud detection.
- Preferred: Knowledge of portfolio risk analytics.
- Preferred: Experience working with real-time fraud detection systems and decision engines.
- Preferred: Spanish language proficiency.
Benefits
- Innovative Spirit: A commitment to creativity and groundbreaking solutions.
- Honest Feedback: Valuing open, transparent communication.
- Supportive Team: A strong, collaborative community.
- Celebrating Achievements: Recognizing our wins together.
- High-Tech Environment: A team of talented professionals building the future of fintech.
- Relocation support to one of our hubs — Columbia, Cyprus, Serbia, Spain — with assistance for the employee and their family.
- Flexible work from one of our offices or remotely within time zones from GMT-2 to GMT+2.
- Healthcare Coverage.
- Education Budget: Language lessons, professional training, and certifications.
- Wellness Budget: Mental health and fitness activity reimbursements.
- Vacation policy: 20 days of annual leave and paid sick leave.