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Open nowPosted 5 days ago

Data Quality Scientist - AI & Innovation (Credit Risk) | Risk

Natixis in Portugal51 open roles

Where
Porto, Portugal
Work mode
Hybrid
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Your applicationOpen nowData Quality Scientist - AI & Innovation (Credit Risk) | RiskNatixis in Portugal · Porto, Portugal

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  2. CV RocketCV written for this posting.

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The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market. Natixis in Portugal postings stay open a median of 24 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted 5 days ago

Natixis in Portugal median: 24 days open

The posting

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 Data Quality Scientist – AI & Innovation within the Credit Risk Monitoring (CRM) team. You will work within an international team (Paris/Charenton and Porto) whose objectives are:

  • Data Governance & Quality: Control and optimize the credit risk data lifecycle (governance, controls, remediation).
  • Regulatory & Internal Compliance: Ensure alignment with regulatory requirements and internal policies.
  • Automation & Innovation: Develop and implement solutions for better data exploitation and enhanced risk processes.
  • Committee Coordination: Lead and facilitate credit risk monitoring bodies.

You will play a key role in mastering credit risk and respecting reference frameworks. Your missions will be to:

  • Utilize AI techniques to develop innovative solutions for optimizing business processes, enhancing customer experiences, and driving strategic decision-making.
  • Design, develop, and implement machine learning models and algorithms to extract actionable insights from large and complex datasets.
  • Conduct exploratory data analysis, feature engineering and model evaluation to ensure the accuracy and reliability of predictive models.
  • Collaborate with multiple teams to identify and prioritize business problems that can be addressed through data analysis and predictive modeling.
  • Work closely with stakeholders to understand business requirements and translate them into data-driven solutions that deliver tangible value.
  • Stay aware of the latest developments in AI, ML and data science, and identify opportunities to leverage emerging technologies and techniques to drive continuous improvement.

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.
  • The ideal candidate will have a strong background in data science, artificial intelligence, and machine learning and will play a critical role in developing and implementing advanced analytics solutions to support our business objectives.

Qualifications

  • Advanced degree in computer science, data science, machine learning, statistics or a related field.
  • Proven experience in developing and deploying machine learning models in a business environment and with deep learning (genAI).
  • Proficiency in programming languages such as Python and SQL, as well as experience with data manipulation and visualization libraries.
  • Strong understanding of statistical methods, data mining techniques, and predictive modeling approaches.
  • Familiarity with deep learning frameworks and experience in developing and deploying AI applications.
  • Strong desire to learn and eager to make a meaningful impact in a dynamic and innovative environment.
  • The ability to train, facilitate, and effectively share complex concepts with various Natixis teams. Excellent oral and written communication skills.
  • You have excellent interpersonal skills, great listening abilities, and you are:
  • Rigorous and proactive
  • Endowed with strong analytical and synthesis skills
  • Adaptable in order to achieve your goals
  • You are fluent in English with a B2 level.

We will only consider English Cv's.

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.

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