Retail Credit Risk Specialist

Nubank; São Paulo; Presencial; BRL 60.000 - 80.000; Tempo integral

Resumo da oferta

A leading digital banking platform in Brazil is seeking a Credit Risk Specialist to support its risk management framework. The role involves developing and maintaining expected credit loss models and conducting in-depth analyses of credit risk exposure. Candidates should possess strong analytical skills, a relevant degree, and coding proficiency in SQL or Python. The ideal candidate will thrive in a dynamic environment and contribute to compliance with various financial regulations.

Qualificações

• Bachelor’s degree in a relevant field.
• Strong analytical and problem-solving skills.
• Experience with credit risk models (PD, LGD, EAD).

Responsabilidades

• Develop and implement risk parameter models for retail portfolios.
• Analyse credit risk exposure and expected credit losses (ECL).
• Contribute to compliance with regulatory requirements.

Conhecimentos

Analytical skills

Problem solving

Coding skills (SQL, Python, Scala)

Data analysis

Formação académica

Bachelor’s degree in Engineering, Economics, Math, Statistics, Physics or related fields

Descrição da oferta de emprego

About Us

Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our institutional page https://international.nubank.com.br/careers/

About the team

The Credit Risk Squad is part of the 2nd line of Defense, responsible for managing and overseeing the credit risk function of our organization by providing independent oversight and challenge to the first line of defense. As a second line Credit Risk team, we are responsible for creating Expected Credit Losses (ECL) models that are used to calculate loss allowances, making sure the company’s credit risk is managed correctly and efficiently, participating end-to-end in the model development process, including, implementation, monitoring, ensuring operational quality of the data and supporting Finance accounting teams.

About the Role

As a Credit Risk Specialist within our Credit Risk Squad (part of the 2nd Line of Defense), you will play a crucial role in supporting Nubank’s world class risk management framework. Your primary focus will be on expected credit loss models development and maintenance, particularly within the retail market portfolios, including credit cards and personal loans. You will contribute significantly to ensuring the company’s credit risk is managed effectively, with a strong emphasis on the universe of credit provisions.

Your key responsibilities will include:

• Developing, implementing, analysing and monitoring risk parameter models (PD, LGD, EAD) relevant to our retail portfolios, ensuring they align with regulations like IFRS9 and 4966. You will be instrumental in making sure we have state of the art models also through activities such as backtesting, data analysis, documentation and operational monitoring.
• Maintaining a strong understanding of relevant local and international regulations concerning provisions and credit risk management, including a surface‑level understanding of standards like Bacen 4966 and IFRS9.
• Performing in-depth analysis of credit risk exposure and its implications for expected credit losses (ECL) and loss allowances. This will involve understanding how changes in the credit portfolio impact our provisions.
• Participating in monthly accounting closing activities, contributing to the creation of reports on loss allowance movements.
• Actively contributing to the enhancement of our controls environment within credit risk management. This is crucial for ensuring compliance with regulations such as SOX.
• Liaising with Internal and External Audit teams during model validation processes, ensuring adherence to regulatory requirements and SOX compliance in our operational processes.
• Leveraging your analytical and problem‑solving skills to manipulate and learn from data related to the credit portfolio.
• This role requires a strong analytical background, a keen understanding of credit risk principles, and the ability to contribute to a robust and compliant credit risk management framework. Your work will directly impact the accuracy of our financial reporting and the overall stability of our credit operations.

Basic qualifications

• Bachelor’s degree in Engineering, Economics, Math, Statistics, Physics or related fields
• Analytical, problem solving and passionate to manipulate data in order to learn from it
• Great coding skills (SQL, Python, Scala or other similar programming languages)
• Experience in developing or analyzing outputs of Expected Credit Loss models/PD/EAD/LGD for credit provisioning purposes
• Adaptability to dynamic way of working/short term deliverables

Preferred qualifications

• Advanced or Fluent English
• Experience with SOX controls within risk management environment