This role sits at the intersection of data science and risk governance, where you will build the analytical models that detect environmental and social risks across Latin America. You will be responsible for transforming complex datasets into actionable indices and dashboards that protect the bank’s operational license and integrity. By automating data pipelines and cross-referencing global risk databases, you ensure the business stays ahead of emerging non-financial threats.
Working at Nubank means applying high-level quantitative skills to the mission of responsible lending and financial inclusion. While many ESG roles focus on qualitative reporting, this position is a technical engine for sustainability, quantifying how climate change and social shifts impact a massive digital ecosystem. Your work directly informs how a leading fintech balances rapid growth with ethical and environmental stewardship in dynamic markets.
This suits someone who possesses a strong quantitative background in statistics or engineering and is eager to apply their coding proficiency to the ESG space. You should be a self-starter who enjoys structuring ambiguous problems and translating raw data into compelling risk narratives.
Job-FAQs
What are the main missions and responsibilities of this role?
In this role, you will be the primary architect of the analytical models used to identify and classify social, environmental, climate, and reputational risks. You will move beyond high-level theory to build actual scoring systems and composite indices that integrate with the bank's non-financial risk (NFR) framework.
Your day-to-day will involve automating the collection and processing of heterogeneous data, ranging from geospatial climate records to socioeconomic indicators. You will also develop Key Risk Indicators (KRIs) and interactive dashboards that provide leadership with real-time visibility into the bank's exposure across different geographies.
Furthermore, you will contribute to thematic post-mortems and risk event analyses. This involves transforming raw, complex data into clear risk management narratives that help internal stakeholders understand potential threats to Nubank's reputation and social license to operate.
Key learning opportunities for this job
This position offers a unique chance to bridge the gap between data science and ESG governance. You will gain deep expertise in how climate and social risks are quantified within a highly regulated financial environment, specifically focusing on the Latin American landscape.
You will have access to NuLanguage and the Nucleo learning platform, which support both technical and soft skill development. Mentorship from the senior NFR team will help you translate your quantitative skills into the specialized domain of sustainability and reputational risk management.
Additionally, you will gain exposure to cross-geo project management, learning how to scale risk models across diverse markets like Brazil, Mexico, and Colombia while navigating the nuances of local regulations and public data sources.
How does the ideal candidate look like (experience, skills)?
The ideal candidate is a quantitative specialist with a degree in Statistics, Data Science, Economics, or Engineering. You should be highly proficient in Python or R and comfortable manipulating large, messy datasets, including geospatial and time-series data.
While domain knowledge in sustainability is a plus, the team values analytical rigor and structured thinking above all else. You need to be someone who can take an ambiguous problem—like 'how does local deforestation affect our credit risk?'—and build a replicable methodology to answer it.
Soft skills are equally important; you must be fluent in English to collaborate with global teams and possess the ability to communicate technical findings to non-technical stakeholders in a clear and persuasive manner.
Advice to stand out and make a successful application
To stand out, emphasize your experience with public and heterogeneous databases relevant to Latin America, such as IBGE, MapBiomas, or GDELT. Demonstrating that you know how to clean and cross-reference these external sources with internal business data will show you are ready for the role's technical demands.
Tailor your application to highlight any experience in regulated environments or roles that required high levels of accountability, such as compliance, audit, or credit risk. Nubank values 'the owner's mindset,' so provide examples of where you have autonomously led a project from a vague idea to a scalable tool.
Finally, show a genuine curiosity for non-financial risk. Since the sustainability aspect can be learned on the job, demonstrating a proactive interest in how ESG factors influence financial stability and public perception will align you with the team's mission.
What aspects of the company's sustainability is this role likely to focus on?
The role focuses heavily on Sustainability Risk, which at Nubank encompasses environmental impact, climate resilience, and social responsibility. You will likely focus on how environmental degradation or social shifts in the region could impact the bank's portfolio and operational stability.
Another major pillar is Reputational Risk. You will use data to monitor public perception and identify potential triggers that could harm the brand's trust with its 135 million customers. This includes analyzing text and narratives to anticipate social backlash or governance concerns.
You will also support the bank's responsible lending initiatives by ensuring that ESG metrics are integrated into the broader risk-taking framework, helping Nubank maintain its status as a transparent and ethical financial leader.
What are the main challenges someone in this role might face?
One of the primary challenges will be the ambiguity of ESG data. Unlike traditional financial data, sustainability metrics can be fragmented, inconsistent, or qualitative, requiring you to build robust proxies and creative methodologies to reach meaningful conclusions.
You may also face the challenge of balancing rapid fintech growth with conservative risk management. Nu moves fast, and your models must be both accurate and scalable enough to keep up with the bank’s expansion across multiple countries with differing regulatory landscapes.
Lastly, stakeholder alignment can be complex. You will need to convince various departments—from credit to marketing—of the validity of your risk indices, often when these risks feel 'long-term' or less tangible than immediate financial targets.
How could a typical day look like for someone in this position?
A typical day might start with a sync with the Global NFR team to discuss emerging risk trends in Mexico or Brazil. You might then spend several hours in Python, refining an NLP model that monitors news and social sentiment for potential reputational triggers.
Afternoons are often dedicated to data engineering and visualization. You might be cross-referencing climate vulnerability maps with customer location data to update a risk dashboard, followed by a meeting with the credit team to discuss how these findings should influence lending policies.
You will also spend time on ad-hoc thematic analysis. This could involve investigating a specific event—like a natural disaster or a legislative change—and quickly producing a data-driven post-mortem to help leadership understand the bank's exposure and necessary response.
What are the opportunities for professional growth and development in this role?
Growth at Nubank is often meritocratic and lateral. As a specialist in this niche area, you could evolve into a senior leadership role within the Non-Financial Risk department or move into a more specialized Sustainability Lead role for specific regions.
There is also the possibility of global mobility or leading high-visibility projects that span across Brazil, Mexico, and Colombia, giving you a broad international profile. The hybrid nature of the role allows you to build a network across Nu's major hubs.
Given the bank's rapid expansion, you could also play a key role in shaping the ESG roadmap for future markets, moving from model implementation to strategic risk architecture as the sustainability function matures within the organization.
The main stakeholders you might be interacting with
You will interact daily with the Global Non-Financial Risk (NFR) team and local risk managers in each geography. They will provide the governance context and be the primary users of your analytical outputs.
On the technical side, you will collaborate with Data Engineers and Data Scientists to ensure your pipelines are integrated with Nubank's core infrastructure. You will also work with Credit and Operations teams to embed risk scorings into their decision-making processes.
External interaction may include engaging with data providers and regulators. While you are internally focused, your work ensures that Nubank remains compliant with local environmental and social regulations, making the legal and compliance teams key partners in your success.
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