Q: What are the main missions and responsibilities of this role?

The core mission involves structuring the non-financial risk management framework with a specific focus on social, environmental, and climate-related threats. You will own the end-to-day analytical pipeline, from sourcing public geospatial and socioeconomic data to building sophisticated risk classification models . Beyond modeling, you are responsible for developing Key Risk Indicators (KRIs) and monitoring dashboards that provide visibility into the company's reputational health. This includes automating data processing to enhance the team's response speed and conducting thematic post-mortems on risk events to improve future mitigation strategies.

Q: Key learning opportunities for this job

This role offers a unique bridge between data science and ESG strategy . While you bring the quantitative toolkit, you will receive deep-dive training on Sustainability Risk (SAC) and Reputational Risk domains under the guidance of senior leadership. This is a rare chance to learn how global financial regulations interpret environmental and social factors. You will also gain significant experience in cross-geo governance , understanding the nuances of risk management across different Latin American markets. Exposure to advanced tools like NLP for narrative monitoring and specialized climate databases like MapBiomas or EM-DAT will further expand your technical versatility.

Q: Advice to stand out and make a successful application

Focus your application on demonstrating analytical agility . Instead of just listing coding languages, provide examples of how you have solved complex problems by cross-referencing disparate data sources. Highlighting any experience with public databases or risk-related projects in previous roles will make your profile stand out. Since this is a 'purple' culture that values the fight against complexity, show how you can simplify data into scalable risk narratives . Ensure your English is polished, as you will be operating in a cross-geo environment where clear communication is as vital as technical accuracy.

Q: What aspects of the company's sustainability is this role likely to focus on?

The role is central to Nubank's Environmental, Social, and Governance (ESG) agenda , specifically focusing on how climate change and social shifts impact financial stability. You will work on identifying risks related to deforestation, social inequality, and climate vulnerability within the company's operational footprint. Moreover, the reputational aspect ensures that Nubank maintains its social license to operate . By monitoring public perception and ESG trends, you help the company navigate the transition to a low-carbon economy while remaining aligned with global financial sustainability standards and stakeholder expectations.

Q: What are the main challenges someone in this role might face?

One of the primary challenges will be the ambiguity of risk data . Unlike market or credit risk, sustainability and reputational risks are often qualitative and found in unstructured text or varied geospatial formats. Successfully quantifying these 'soft' risks into hard metrics that influence board-level decisions requires high persistence. Additionally, you must manage stakeholder complexity across different countries (Brazil, Mexico, Colombia), each with its own regulatory landscape and social sensitivities. Balancing the need for local nuance with the goal of a scalable global risk framework is a constant tactical tension.

Q: How could a typical day look like for someone in this position?

A typical day might begin with refreshing automation scripts that pull data from news feeds or climate monitoring stations. You might then spend several hours in Python developing a new scoring methodology for social risk exposure, ensuring the model is robust enough for institutional reporting. In the afternoon, you could lead a sync with stakeholders from the Compliance or Credit teams to discuss how your findings impact their respective areas. The day often concludes with refining data visualizations for a dashboard that tracks real-time shifts in the company's reputational indices across various geographies.

Q: The main stakeholders you might be interacting with

You will be a key partner to the Global Non-Financial Risk (NFR) team and local risk leaders in each geography. Your insights will directly support senior management and Governance Committees in making informed risk-appetite decisions. On the data side, you will interact with Data Engineering and Analytics teams to ensure pipeline integrity. Externally, while you may not speak to them daily, your models will account for the concerns of regulators, environmental NGOs, and investors , ensuring Nubank remains compliant and respected in the global market.

Question 1

What are the main missions and responsibilities of this role?

Accepted Answer

The core mission involves structuring the non-financial risk management framework with a specific focus on social, environmental, and climate-related threats. You will own the end-to-day analytical pipeline, from sourcing public geospatial and socioeconomic data to building sophisticated risk classification models. Beyond modeling, you are responsible for developing Key Risk Indicators (KRIs) and monitoring dashboards that provide visibility into the company's reputational health. This includes automating data processing to enhance the team's response speed and conducting thematic post-mortems on risk events to improve future mitigation strategies.

Question 2

Key learning opportunities for this job

Accepted Answer

This role offers a unique bridge between data science and ESG strategy. While you bring the quantitative toolkit, you will receive deep-dive training on Sustainability Risk (SAC) and Reputational Risk domains under the guidance of senior leadership. This is a rare chance to learn how global financial regulations interpret environmental and social factors. You will also gain significant experience in cross-geo governance, understanding the nuances of risk management across different Latin American markets. Exposure to advanced tools like NLP for narrative monitoring and specialized climate databases like MapBiomas or EM-DAT will further expand your technical versatility.

Question 3

How does the ideal candidate look like (experience, skills)?

Accepted Answer

The ideal candidate is a high-performing analyst with a background in Statistics, Economics, or Engineering. You must be proficient in Python or R, with a proven ability to manipulate large, messy datasets and translate them into actionable business insights. Familiarity with NLP and geospatial data is a significant advantage for tracking reputation and climate trends. While deep ESG expertise is not required on day one, a strong interest in sustainability and experience in regulated environments (like credit or compliance) is essential. You should be an autonomous thinker who can structure ambiguous problems and communicate technical findings clearly to non-technical stakeholders.

Question 4

Advice to stand out and make a successful application

Accepted Answer

Focus your application on demonstrating analytical agility. Instead of just listing coding languages, provide examples of how you have solved complex problems by cross-referencing disparate data sources. Highlighting any experience with public databases or risk-related projects in previous roles will make your profile stand out. Since this is a 'purple' culture that values the fight against complexity, show how you can simplify data into scalable risk narratives. Ensure your English is polished, as you will be operating in a cross-geo environment where clear communication is as vital as technical accuracy.

Question 5

What aspects of the company's sustainability is this role likely to focus on?

Accepted Answer

The role is central to Nubank's Environmental, Social, and Governance (ESG) agenda, specifically focusing on how climate change and social shifts impact financial stability. You will work on identifying risks related to deforestation, social inequality, and climate vulnerability within the company's operational footprint. Moreover, the reputational aspect ensures that Nubank maintains its social license to operate. By monitoring public perception and ESG trends, you help the company navigate the transition to a low-carbon economy while remaining aligned with global financial sustainability standards and stakeholder expectations.

Question 6

What are the main challenges someone in this role might face?

Accepted Answer

One of the primary challenges will be the ambiguity of risk data. Unlike market or credit risk, sustainability and reputational risks are often qualitative and found in unstructured text or varied geospatial formats. Successfully quantifying these 'soft' risks into hard metrics that influence board-level decisions requires high persistence. Additionally, you must manage stakeholder complexity across different countries (Brazil, Mexico, Colombia), each with its own regulatory landscape and social sensitivities. Balancing the need for local nuance with the goal of a scalable global risk framework is a constant tactical tension.

Question 7

How could a typical day look like for someone in this position?

Accepted Answer

A typical day might begin with refreshing automation scripts that pull data from news feeds or climate monitoring stations. You might then spend several hours in Python developing a new scoring methodology for social risk exposure, ensuring the model is robust enough for institutional reporting. In the afternoon, you could lead a sync with stakeholders from the Compliance or Credit teams to discuss how your findings impact their respective areas. The day often concludes with refining data visualizations for a dashboard that tracks real-time shifts in the company's reputational indices across various geographies.

Question 8

What are the opportunities for professional growth and development in this role?

Accepted Answer

The 'Specialist' track at Nubank is designed for deep technical and strategic growth. As the area matures, you could evolve into a Subject Matter Expert (SME) in Climate Risk or move toward broader Global Risk Governance roles. The cross-geo nature of the work provides a platform to lead international projects. Given the rising importance of ESG in banking, this position places you at the intersection of two of the most sought-after skills in the modern economy: data science and sustainability. This dual expertise provides a clear pathway to senior leadership roles in Risk Management or Corporate Sustainability.

Question 9

The main stakeholders you might be interacting with

Accepted Answer

You will be a key partner to the Global Non-Financial Risk (NFR) team and local risk leaders in each geography. Your insights will directly support senior management and Governance Committees in making informed risk-appetite decisions. On the data side, you will interact with Data Engineering and Analytics teams to ensure pipeline integrity. Externally, while you may not speak to them daily, your models will account for the concerns of regulators, environmental NGOs, and investors, ensuring Nubank remains compliant and respected in the global market.

Sustainability Risk & Reputational Risk Specialist

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