Senior Data Scientist

Description

### **Senior Data Scientist \|** **Credit \& Risk** We are at a pivotal moment in the evolution of how we use data and analytical intelligence to drive decision-making within SRM Asset. Our Data Science team plays a direct role in building models and analyses that impact credit, risk, and portfolio strategies — in a dynamic, collaborative, and business-aligned environment. We seek a candidate with strong analytical capability, deep technical expertise, and strategic vision — someone who can transform large volumes of data into models, insights, and practical solutions for the financial market. This position is ideal for those who enjoy working closely with the business, solving complex problems, and building data-driven solutions with real impact on decision-making. #### **The Challenge** Develop models and analyses focused on credit, risk, and business intelligence — helping transform data into strategic decisions for the company. This person will play a key role in: * Developing predictive models applied to the financial market. * Structuring statistical analyses to support business needs. * Bridging business context, data, and analytical modeling. * Supporting the advancement of data science practices across the company. #### **What You’ll Do** * ✅ Develop predictive models for credit, fraud, and customer segmentation. * ✅ Build statistical analyses to support decision-making. * ✅ Participate in strategic projects related to credit policy. * ✅ Partner with business areas to translate complex problems into data-driven solutions. * ✅ Process and analyze large volumes of data with a focus on scalability and efficiency. * ✅ Leverage AI as a productivity accelerator in analytical development and automation. * ✅ Support the evolution of the team’s modeling, analysis, and data architecture practices. * ✅ Connect cross-functional teams to ensure alignment between business context and analytical solutions. #### **Tech Stack \& Requirements** ***Core*** * Advanced Python for data modeling and analysis * Proficiency in relational databases (SQL) * Knowledge of clustering, classification, and regression models * Experience processing large-scale data — PySpark or similar tools * Use of AI as a daily development accelerator — code generation, automation of analytical steps, etc. ***Foundations*** * Strong analytical ability and statistical reasoning. * Solid experience developing models for the financial market. * Hands-on experience in credit analysis and business-oriented statistical analysis. * Ability to thrive in dynamic environments and tackle ill-defined problems. * Excellent communication skills and ability to collaborate effectively with business teams. ***Design and Architecture*** * Ability to design end-to-end analytical solutions. * Understanding of modern data processing and analytics workflows. * Ability to align technical decisions with business impact. ***Data / AI*** * Experience in predictive modeling and statistical analysis * Manipulation and processing of large-scale data * Application of AI to analytical development and workflow automation * Familiarity with modern data-centric development practices ***Nice-to-Haves*** * Awareness of MLOps and the model lifecycle in production. * Familiarity with AWS. * Knowledge of credit structures such as FIDC or securitization. * Experience in the financial market, structured credit, or fintechs. #### **What Makes Your Eyes Light Up (and Ours Too)** * ✨ Passion for transforming data into strategic decisions. * ✨ Intellectual curiosity and sharp critical thinking. * ✨ Ability to connect analytical modeling with business context. * ✨ Enthusiasm for solving complex problems in dynamic environments. * ✨ A constant drive to evolve how data and AI are leveraged in the business.