Credit Risk Specialist

As a Credit Risk Specialist, you'll own how the provisioning process actually runs. Your focus is the reliability, scalability, and observability of the credit-risk data and model pipeline — the orchestration, data-quality checks, and platform capabilities that let our risk models run correctly every cycle, supporting model monitoring, use and process controls. You bring a credit-risk analyst's judgment to the numbers, but your day-to-day is making the pipeline robust, automated, and self-monitoring. This is a role for someone who leans over data — strong on data science / ML pipeline maintenance, comfortable in code, and motivated by turning processes into dependable, low-touch systems.

Responsibilities

Own pipeline reliability — build, maintain, and harden the data pipelines that feed the ECL calculation, so each cycle runs low-touch and fully reproducible.; Maintain the model-scoring pipeline — operationalize and productionize risk models (e.g. PD/EAD/LGD scoring runs), keeping the path from model hand-off to production standardized and repeatable.; Manage upstream dependencies — make the pipeline resilient to external data changes; detect breakage early.; Build data-quality and monitoring alerts — instrument the pipeline so data and process issues surface automatically before they reach the numbers.; Advance the platform roadmap — contribute deliberate, roadmapped improvements so the platform stays ahead of new demands.; Collaborate across data engineering, modeling, and finance — partner with the teams whose data you consume and whose reports you feed.; Support controls and audit — help capture control and data-quality evidence continuously from source systems rather than by hand each cycle

Requirements

Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Math, Physics, Economics, or a related quantitative field.; Strong coding and data engineering skills — SQL and Python, with hands-on experience building and maintaining data / ML pipelines.; Experience keeping data science or machine-learning pipelines in production — scheduling, monitoring, data-quality checks, and debugging failures.; Analytical, problem-solving mindset, genuinely motivated to work with data and learn from it.; Working understanding of credit risk concepts and how portfolio data maps to risk metrics.; Adaptability to a dynamic way of working.

Benefits

Chance of earning equity at Nubank; Food/ Meal Card (Vale-Refeição and/or Vale Alimentação); Public Transportation Commuting Benefit (Vale-Transporte); NuCare – Psychological, Financial and Legal Assistance Program; Life Insurance; Medical Plan; Dental Plan; NuLanguage – Language Course Program; Nucleo - Our learning platform of courses; Extended Parental Leave; Daycare Allowance; Parental Consultancy; Work-from-home Allowance; Gym Partnerships; 30 days of paid vacation; Relocation Assistance Package, if applicable