Credit Risk - Transversal Risk Analyst (Data & Innovation) | Risk

Posted 13 Days Ago
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Porto, PRT
Hybrid
Mid level
Information Technology
The Role
Lead data governance, quality and innovation initiatives within Credit Risk. Develop and industrialize AI/ML (NLP) solutions, improve risk frameworks, automate processes, and coordinate monitoring committees across international teams.
Summary Generated by Built In
Company Description

Natixis in Portugal is a Centre of Expertise whose mission is to transform traditional banking by developing innovative solutions for the business, operations and work culture of Groupe BPCE worldwide. 

As part of Groupe BPCE’s international division, Natixis in Portugal designs and delivers solutions for its two core areas – Corporate & Investment Banking and Asset & Wealth Management – as well as transversal services that support all entities across the Group. 

With more than 3,000 employees representing 46 nationalities, the teams work across Information Technology, Banking Support Activities, and Compliance, in an integrated, inclusive, and cross-functional way, supporting all business lines and platforms of the Group. 

A disruptive mindset and a culture of proximity and agility identify Natixis in Portugal Team and reflect the company's mission to transform traditional banking at a global scale: a perfect match in the Portuguese dynamics and entrepreneurial ecosystem.

Job Description

Contribute to the performance of the Natixis Credit Risk Department as a Cross-Functional Risk Analyst - Data & Innovation within the Credit Risk Monitoring (CRM) team. You will work within an international team (Paris/Charenton and Porto) whose objectives are: 

  • Data Governance and Quality: Master and optimize the lifecycle of credit risk data (governance, controls, remediations).
  • Regulatory and Internal Compliance: Ensure alignment with regulatory requirements and internal policies.
  • Automation & Innovation: Develop and implement solutions for improved data utilization and enhanced risk processes.
  • Committee Coordination: Facilitate and lead credit risk monitoring forums.

You will play a key role in controlling credit risk, with a focus on industrializing our processes. Your missions will be to:

  • Lead, coordinate, and steer innovation topics around initiatives launched by the credit risk department.
  • Model, develop and integrate concrete Artificial Intelligence solutions to simplify and automate our processes.
  • Participate in projects aimed at improving our risk management framework.
  • Promote deployed solutions, popularize AI concepts and disseminate best practices among the Department's teams.
  • Participate in sharing the risk culture with business teams.
  • Work in an international environment, within a community of experts that places excellence, impact and collective action at the heart of everything it undertakes.

Qualifications

Who are you? If you recognize yourself in the following description, you are made to work with us:

  • You have more than three years of experience in a similar role, ideally within a bank or a financial institution.

​​​​​​​Key skills and experience include:

  • Knowledge of data project management, with the ability to structure an innovation project from the ideation phase through to industrialization.
  • Mastery of Machine Learning algorithms and programming in Python (automatic processing of text/credit reports) or R.
  • An understanding of data quality and data lineage concepts, as well as database tools (SQL, data warehouses).
  • Basic knowledge of banking regulations related to credit risk.
  • The ability to train, facilitate, and effectively share complex concepts with different Natixis teams, backed by excellent oral and written communication skills.
  • Excellent interpersonal skills and strong listening abilities.
  • Rigorous and proactive.
  • Strong synthesis and analytical skills.
  • Adaptable in order to achieve your objectives.
  • English proficiency at a B2 level.

Additional Information

Our workplace reflects the vibrant spirit of our locations, with initiatives such as a Green Transportation Budget, electric bikes and a flexible Hybrid Work Policy. We promote wellbeing through the Honolulu Wellness Club, a Prayer Room, a Lactation Room, and themed Villages that inspire creativity and collaboration. Through our ESG and DEI strategies, we are committed to being inclusive, caring, and fair, ensuring every voice is heard and valued.

Skills Required

  • More than three years of experience in a similar role, ideally in a bank or financial institution
  • Mastery of Machine Learning algorithms
  • Programming in Python or R (for automatic processing of text/credit reports)
  • Knowledge of data project management from ideation to industrialization
  • Understanding of data quality and data lineage concepts
  • Experience with database tools (SQL, data warehouses)
  • Basic knowledge of banking regulations related to credit risk
  • Ability to train, facilitate, and communicate complex concepts orally and in writing
  • English proficiency at B2 level
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The Company
HQ: Paris
2,007 Employees
Year Founded: 2016

What We Do

Natixis in Portugal is a Centre of Expertise whose mission is to transform traditional banking by developing innovative solutions for the business, operations and work culture of Groupe BPCE worldwide. Natixis in Portugal is part of the Global Financial Services division, where it applies technology for the development of financial expertise in its two global business lines – Corporate & Investment Banking and Asset & Wealth Management – and, transversally, for the entities of Groupe BPCE. The Centre of Expertise, based in Porto, currently has more than 2,400 employees from over 30 nationalities, organised in three main departments: Information Technology, Banking Support Activities and Compliance. These teams work in an integrated, inclusive and transversal way, supporting and creating value for all the business lines and platforms of the group. For recruitment: [email protected] For other questions: [email protected]

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