Risk Data Scientist

Tracks Competitions Hacks & Tasks Events Projects Hubs Jobs Privacy policyService agreementWebsite agreementPublic offer on the transfer of the right to use speechesOffer with the authorContact/Support © ODS.AI 2015—2026 Brief description of the vacancy We are looking for a Risk Data Scientist. We're launching a new business line in Colombia and looking for someone to become the first dedicated Data Scientist in our Risk team, building the function from the ground up as part of this launch. This is a rare opportunity to shape a function from scratch rather than optimize what someone else already built: you'll be working with a fast-growing dataset, designing the full lifecycle of ML models used in real credit decisions, and setting the technical foundation that the rest of the Risk data science function will be built on. About The Company Company Plata Plata is the fastest-growing fintech unicorn in Latin America, valued at $5 billion. We have more than 4 million active users in Mexico, and our app ranks #1 in the finance category. Responsibilities Design, build, and own end-to-end machine learning models supporting risk decisions — from feature engineering and model development to deployment, monitoring, and retirementBuild predicting models for adjacent functions (e.g., churn/attrition prediction on issued loans, reserve calculations)Establish and maintain a managed lifecycle for ML models in production — ensuring models remain stable and reliable as data volume growsCollaborate closely with Risk Analysts, Portfolio Managers, and Risk-tech strategy teams on model implementation Requirements 3+ years of hands-on, production-level Data Science experienceHands-on experience across the full ML model lifecycle: development, deployment, monitoring, and decommissioningExperience in banking or financial services strongly preferred, with an understanding of how risk decisions are embedded in financial productsStrong foundation in ML algorithms, feature engineering, and model developmentProficient in Python, SQL, Airflow, Git, BI / StreamlitEducation: Mathematics, Physics, Computer Science, or a related STEM field from a top technical universityComfortable working independently and owning problems end-to-endB1 or higher English level for effective communication with an international team Working conditions Our Ways Of Working: Innovative Spirit: A commitment to creativity and groundbreaking solutionsHonest Feedback: valuing open, transparent communicationSupportive Team: a strong, collaborative communityCelebrating Achievements: recognizing our wins togetherHigh-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our Benefits: Relocation support to one of our hubs with assistance for the employee and their familyFlexible work from one of our offices or remoteHealthcare CoverageEducation Budget: Language lessons, professional training and certificationsWellness Budget: Mental health and fitness activity reimbursementsVacation policy: 20 days of annual leave and paid sick leave Contacts Log InOnly registered users can open employer contacts. iad5cfea45fa5 Posted: October 9 at 11:26 AM We are looking for a Risk Data Scientist. We're launching a new business line in Colombia and looking for someone to become the first dedicated Data Scientist in our Risk team, building the function from the ground up as part of this launch. This is a rare opportunity to shape a function from scratch rather than optimize what someone else already built: you'll be working with a fast-growing dataset, designing the full lifecycle of ML models used in real credit decisions, and setting the technical foundation that the rest of the Risk data science function will be built on. Plata is the fastest-growing fintech unicorn in Latin America, valued at $5 billion. We have more than 4 million active users in Mexico, and our app ranks #1 in the finance category. Design, build, and own end-to-end machine learning models supporting risk decisions — from feature engineering and model development to deployment, monitoring, and retirementBuild predicting models for adjacent functions (e.g., churn/attrition prediction on issued loans, reserve calculations)Establish and maintain a managed lifecycle for ML models in production — ensuring models remain stable and reliable as data volume growsCollaborate closely with Risk Analysts, Portfolio Managers, and Risk-tech strategy teams on model implementation3+ years of hands-on, production-level Data Science experienceHands-on experience across the full ML model lifecycle: development, deployment, monitoring, and decommissioningExperience in banking or financial services strongly preferred, with an understanding of how risk decisions are embedded in financial productsStrong foundation in ML algorithms, feature engineering, and model developmentProficient in Python, SQL, Airflow, Git, BI / StreamlitEducation: Mathematics, Physics, Computer Science, or a related STEM field from a top technical universityComfortable working independently and owning problems end-to-endB1 or higher English level for effective communication with an international team Our Ways Of Working: Innovative Spirit: A commitment to creativity and groundbreaking solutionsHonest Feedback: valuing open, transparent communicationSupportive Team: a strong, collaborative communityCelebrating Achievements: recognizing our wins togetherHigh-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our Benefits: Relocation support to one of our hubs with assistance for the employee and their familyFlexible work from one of our offices or remoteHealthcare CoverageEducation Budget: Language lessons, professional training and certificationsWellness Budget: Mental health and fitness activity reimbursementsVacation policy: 20 days of annual leave and paid sick leave Our website uses cookies, including web analytics services. By using the website, you consent to the processing of personal data using cookies. You can find out more about the processing of personal data in the Privacy policy Learn More