9 дней назад
Data Quality Scientist - AI & Innovation (Credit Risk) | Risk
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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TL;DR
Data Quality Scientist - AI & Innovation (Credit Risk) | Risk (AI/Machine Learning): Developing data-quality controls and advanced analytics solutions for credit-risk monitoring with an accent on machine learning, deep learning, exploratory data analysis, and regulatory compliance. Focus on designing predictive models, extracting insights from complex datasets, and translating business requirements into reliable AI applications.
Location: Porto, Portugal; hybrid work
Company
in Portugal is a Centre of Expertise within Groupe BPCE, delivering banking, technology, compliance, and support solutions for Corporate & Investment Banking and Asset & Wealth Management worldwide.
What you will do
- Control and optimize the credit-risk data lifecycle through governance, quality controls, and remediation.
- Develop AI, machine learning, and deep learning solutions to improve business processes, customer experiences, and strategic decision-making.
- Perform exploratory data analysis, feature engineering, model evaluation, and predictive modeling on large and complex datasets.
- Collaborate with business and technical stakeholders to identify problems and translate requirements into data-driven solutions.
- Support regulatory and internal compliance with credit-risk reference frameworks.
- Train teams, share complex concepts, and facilitate credit-risk monitoring bodies.
Requirements
- More than 3 years of experience in a similar role, ideally in a bank or financial institution.
- Advanced degree in computer science, data science, machine learning, statistics, or a related field.
- Proven experience developing and deploying machine learning models in a business environment, including deep learning and generative AI.
- Proficiency in Python and SQL, with experience using data manipulation and visualization libraries.
- Strong understanding of statistical methods, data mining techniques, and predictive modeling.
- Familiarity with deep learning frameworks and developing and deploying AI applications.
- Ability to train, facilitate, and communicate complex concepts effectively; excellent oral and written communication skills.
- Excellent interpersonal, listening, analytical, synthesis, adaptability, rigor, and proactive skills.
- Fluent English at B2 level is required.
Culture & Benefits
- International, inclusive, and cross-functional environment with teams representing 46 nationalities.
- Flexible hybrid work policy.
- Green Transportation Budget and access to electric bikes.
- Wellbeing facilities including the Honolulu Wellness Club, Prayer Room, and Lactation Room.
- ESG and DEI initiatives focused on an inclusive, caring, and fair workplace.
Hiring process
- Only CVs written in English will be considered.
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