Nubank
Credit Risk Specialist
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · São Paulo
Employer listed it 7 weeks ago · Added yesterday
Been open since 7 weeks ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · São Paulo
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Other
This employer didn't state pay. Jobs like this usually pay around $80k–$155k a year, a typical range taken from 407 mid-level other roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around São Paulo, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "São Paulo, Hybrid"
- Listing mentions "Hybrid" and 2 days per week in the office
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About Nu
Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.
Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability. Visit our Institutional Page
About the Role
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. You’ll be Responsible for
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
What We're Looking For Someone Who Has
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.
Work Setup
Location
Sao Paulo, Brazil
Work model
Requirements
- ·2 days per week at the office.
- ·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
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
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Nubank, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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