Model Risk Auditor
About Us
Nu is the world’s largest digital banking platform outside of Asia, serving over 118 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.
Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns. Nu’s impact has been recognized in multiple awards, including Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. Learn more :https://international.nubank.com.br/careers/
About the role
Being a Model Auditor at Nubank is different from being a traditional auditor. In a digital bank driven by data, Machine Learning, and Artificial Intelligence, our audit function also embraces technology to assess risks predictively and continuously.
This position is fundamental to Nu's success. You will be part of the Internal Audit team, focusing on Financial Risks (Credit, Market, Liquidity, and Capital). Your primary goal will be to provide assurance on Nubank's financial models
You'll be responsible for
Your main challenge will be to translate statistical and data concepts into auditable financial risks. Your activities will include:
- Evaluating and critiquing risk models (including statistical and Machine Learning models), from their conception, development, and validation to their ongoing monitoring.
- Applying your knowledge of mathematics and statistics to analyze the robustness, performance, and adherence of these models.
- Executing audit tests using data analysis, you will be expected to explore large volumes of data to identify risks, biases, or control failures.
- Leading technical discussions with stakeholders (such as Data Scientists, Engineers, and the Risk team) and communicating audit findings clearly, objectively, and constructively (both verbally and in writing).
- Preparing audit reports and following up on the implementation of action plans to remediate identified vulnerabilities.
We are looking for a person who has
- Strong knowledge in mathematics and statistics, and experience applying these concepts to analyze or build models (whether in data science, credit, finance, or related fields).
- Practical experience with data analysis. While you don't need to master a specific language (like Python or SQL), you must have experience in extracting, manipulating, and analyzing data to generate insights.
- Excellent verbal and written communication skills. You know how to explain complex technical concepts in simple terms to various audiences.
- An analytical and problem-solving profile, with strong critical thinking skills to break down complex problems and propose solutions.
- Is organized and detail-oriented, without losing sight of the big picture.
- Previous experience or knowledge in Internal Audit, Internal Controls, or Risk Management (especially Credit Risk or Market Risk) is a plus
- Knowledge of the financial market, credit products, or fintechs is a plus
Our 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
Our Nu Way of Working
Our work model is hybrid and has cycles that can be from two to three months according to the business of expertise. For every eight or twelve weeks of remote work, one will be at the office.
Links to support:
EnglishPortugueseSpanish (Mexico and Colombia)
Apply for this job
*
indicates a required field

