Data Quality Officer – Credit Risk
Porto, Portugal
Natixis in Portugal
Global Financial Services is the global arm of Groupe BPCE. It comprises two businesses – Asset & Wealth Management and Corporate & Investment Banking – that support their clients in facing today’s major environmental, technological and...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.
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. The project in Porto is one of the biggest investments in Human Resources ever made by Groupe BPCE worldwide.
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.
In 2024, Top Employers Institute has awarded Natixis in Portugal the Top Employer Portugal accreditation for the second time. This certification recognizes excellence in people practices, following the example of our head office, in France, who was certified Top Employer France for the eight year in a row.
Job Description
Team presentation and main goal:
Within the Risk Division of Natixis, the Data Domain Office Team is part of the Credit Risk department.
The Data Domain Office Team ensures the administration of the Risk data.
The role of this team is critical in the reconciliation and proper feed of all credit decisions in the credit portal so that transactions can be monitored based on information accurately input and made available in a timely manner.
Data Domain team will act on extended-team basis i.e. you will be in daily interactions with your colleagues in Paris as part of this Paris-Porto integrated team.
Main tasks and goals:
As Data Domain Officer of the Data Domain Office team, you are involved in the operational mandate execution; this mandate main topics being:
- Improve data quality remediation through AI
- Be the guarantor of the quality of the Credit Risk data technical processes
- Be an active stakeholder in the improvements and data quality projects around these processes
- Contribute to Credit Risk systems’ evolutions actively working with IT
- Produce deliverables using big data technologies and data visualization tools
Qualifications
- Degree in relevant areas of expertise (Data Science; Computer Engineering; Mathematics; Physics - other areas my be considered if experience is aligned).
- 1-3 years of exposure to Credit Risk and Capital Markets;
- Excellent communication skills and ability to convey complex findings to a non-technical audience.
- Advanced knowledge in Python; Solid understanding of machine learning techniques, statistical concepts, and data manipulation libraries (e.g., Pandas, NumPy).
- Advanced experience with big data technologies (e.g., Hadoop).
- Familiarity with data visualization tools (e.g., Power BI).
- Fluent English mandatory and French is a plus.
- Good and structured communication (oral / written);
- Adaptability and curiosity;
- Capacity to deal w/ stress and conflict;
- Team Player;
- Taste for data processing and data accuracy.
We Will consider English Cv's.
Additional Information
At Natixis, we are committed to fostering a working environment where each and every one of our people is treated with dignity and respect and where every voice is heard. Our differences make us collectively stronger and are a source of fulfilment, innovation and performance.
In the framework of its Diversity, Equity & Inclusion policy, Natixis in Portugal has implemented a Blind CV Screening process, with the purpose of reducing hiring bias. A blind CV excludes any personal details which refer to the applicant’s gender, age or ethnicity. When applying for our positions, please submit a blind CV, that is, with no picture, name, gender, age, nationality, ethnicity and address. Your personal statement, work experience, courses and certifications, education, skills and contact information is what matters to us.
#MuchMoreThanJustAJob
Early morning. Campo 24 de Agosto. In 4 minutes, you are clocking in at the office. After grabbing a cup of coffee and fresh fruit, pick up your laptop and choose your spot for the day. It's going to be a busy one: French class before lunch and, just after, quick medical appointment at Natixis doctor's office.
Lunch break. Outside in the big terrace (look at your crops at the Urban Garden; ready to harvest!) or, if you feel like stretching your legs, walk downtown to grab lunch.
Back inside. Quick sprint review (working together anywhere means virtual happy birthday to that colleague in Paris that just turned 35). The afternoon went flying (tasks, reports, calls, some jokes with your teammates). End it on a high note: just one PlayStation game or the final match for that ping-pong tournament.
Tomorrow, you complete that certified technical training and the day after, you will work from home, taking advantage to finally do that online course on Udemy. Once you are done with your tasks for the day, you can visit the office for a board games session or show up at the rehearsal of one of Natixis bands. If that is too steady for you, meet your colleagues to surf some waves or join them in a football match.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Big Data Credit risk Data quality Data visualization Engineering Hadoop Machine Learning Mathematics NumPy Pandas Physics Power BI Python Statistics
Perks/benefits: Gear Lunch / meals
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs