Sustainability & Reputational Risk Specialist

About Nu

Nu is the leading digital bank in Latin America, serving 135 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 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks.

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About the role

The NFR Global team is responsible for structuring and governing Nu's non-financial risk management framework across the geographies where we operate. Within this scope, the Sustainability Risk (social, environmental, and climate risk) and Reputational Risk verticals are critical for anticipating events that could compromise the business's social and operational license.

This position was created to strengthen the team's analytical and data capabilities — a profile that builds models, cross-references complex datasets, and transforms data into methodologies and governance inputs. Domain knowledge in Sustainability Risk and Reputational Risk will be developed on the job, with support from leadership and the senior team.

We are looking for a profile with a strong foundation in analytics and structured thinking, capable of navigating new domains autonomously. You don't need to arrive knowing everything about SAC or Reputational risk — you need to arrive knowing how to learn quickly, structure complex problems, and build solutions from data.

 Responsibilities

• Build and maintain analytical models for the identification, classification, and monitoring of social, environmental, climate, and reputational risks — cross-referencing public and internal databases.
• Develop composite indices, scorings, and exposure metrics that support risk frameworks and governance decisions across Nu's operating geographies.
• Automate the collection, processing, and visualization of recurring team data — reducing rework and increasing the area's response capacity.
• Support the development of KRIs (Key Risk Indicators) and monitoring dashboards for the Sustainability Risk and Reputational Risk verticals.
• Contribute to thematic analyses and post-mortems of risk events, transforming raw data into risk management narratives for internal stakeholders.
• Lead cross-geo projects autonomously, managing multiple stakeholders and delivering scalable outputs across all geographies.

Qualifications

• Degree in Statistics, Data Science, Economics, Engineering, Environmental Management, Communications, Actuarial Sciences, or fields with a strong quantitative component.
• Experience in regulated environments or in projects interfacing with compliance and governance.
• Knowledge of or interest in sustainability, climate, ESG, and reputational management topics — whether through academic background, previous projects, or personal interest.
• Experience with public and heterogeneous data (geospatial, time series, socioeconomic data, text analysis for narrative monitoring and public perception) — knowing where to source it, how to process it, how to cross-reference it with internal databases, and how to interpret results.
• Fluent English for written and verbal communication in a cross-geo environment.
• Experience with NLP, credit, and customer data. Familiarity with public climate and social databases (e.g. IBGE, EM-DAT, MapBiomas, GDELT, INMET).
• Proficiency in Python or R for data analysis, modeling, and automation — with experience in large dataset manipulation and building analytical pipelines. Prior exposure to risk contexts (credit, market, operational).
• Ability to structure ambiguous problems: translating a business or risk question into an applicable analytical methodology.

Location & Work Model

• Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration.
• Location: Brazil (Sao Paulo), Mexico (Mexico City) or Colombia (Bogota)

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

Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.