What is this position about?

The role will help different LoD1 and/or LoD2 teams under IT Operations Control and Conduct Chief Office to improve their Data Analytics requirements. Tasks may vary between automation and consolidation of existing controls, needs for new analysis, their definition and results, generation of data visualization, adoption of A.I techniques and solutions.

Analysis may be required under different fields of Information and Business security such as Operational Controls and Information Security Controls. Requirements being functional and/or technical analysis. 

What would be your typical day at BNPP Paribas look like? 

Key Responsibilities

▪    Design, Development, and Deployment of AI Models: Design, train, and deploy artificial intelligence models, particularly those related to natural language processing based on cutting-edge architectures. Leverage textual data from various banking professions, while respecting ethical and confidentiality rules, to address diverse needs such as sentiment analysis, document categorization, summary generation, information extraction, and more.

▪    Collaboration and Project Management: Collaborate with business experts, Product Owners, developers, and other data scientists to define project problems, data sources, performance indicators, and deliverables for artificial intelligence projects. Ensure the proper implementation of AI governance on projects.

▪    Data Analysis and Research: Adapt to various operational requirements for data analysis, including unfamiliar and first-time topics. Collect and prepare the required data for analysis, utilizing concepts such as ETL and corresponding technologies. Conduct research and analysis using multiple methods and self-learn new APIs and data collection techniques as needed.

▪    Automation and Visualization: Develop and implement automation scripts and reusable libraries to streamline controls and analysis. Create data visuals to identify deviations or risks, using indicators such as KPI, KRI, KSF, and CSF.

▪    Documentation and Knowledge Sharing: Document each deliverable to provide context, facilitate understanding, and enable opportunities for new insights through automated analysis. Ensure proper technical deployment, development, and usage of services provided.

▪    Innovation and Continuous Improvement: Conduct scientific and technological monitoring of artificial intelligence to propose innovation and continuous improvement paths.

What is required for you to succeed?

Experience

▪    Data Analysis and Science: Familiarity with data analytics techniques, including diagnostic analysis, prescriptive analysis, descriptive analysis, predictive analysis, cognitive analysis, statistical analysis, text analysis (NLP), and risk analysis

▪    Technical Skills: Hands-on experience with programming languages such as Python, PowerShell, and SQL, APIs, methodologies like DevOps, operating systems, computer networks, and IT culture

▪    Machine Learning and Artificial Intelligence: Familiarity with machine learning techniques, model training and inference, and prompt engineering

▪    Coding and Development: Strong understanding of coding principles and methodologies, including generic-purpose programming languages and software development life cycles

▪    At least 3 years of relevant working experience

▪    Experience in project management & change management will be a plus

▪    Previous experience in Multinational company On/Offshore model is preferred

Behavioural

▪    Good communication, problem solving and analytical skills - attention to details is important. Strong organization and multi-tasking skills. Flexibility to adapt to changes in a fast-paced environment under tight deadlines

▪    Strong interpersonal skills & ability to develop relationships internally and externally to collaborate effectively

▪    Collaboration and Communication: Excellent communication and collaboration skills, with ability to work with cross-functional teams

▪    Proficient simplification and optimization skills & ability to develop and adapt a process, policy or procedure 

Required education/certification

▪    Bachelor’s degree in Computer Science, Information Assurance, or a related degree or equivalent experience

Required Skills and Knowledge:

▪    Strong understanding of artificial intelligence and data science concepts, including natural language processing and machine learning

▪    Experience with data analysis, research, and automation

▪    Ability to adapt to new technologies and methodologies

▪    Excellent communication and collaboration skills

▪    Strong problem-solving and analytical skills

Desirable Skills and Knowledge:

▪    Experience with ETL and data visualization tools

▪    Knowledge of AI governance and ethics

▪    Familiarity with banking and financial services industry

▪    Understanding of information security and risk management principles (desirable but not required)

About BNP PARIBAS

As the leading European Union bank, and one of the world’s largest financial institutions with an uninterrupted presence in the region since 1860, BNP Paribas offers a wide range of financial services for corporate, institutional and private investors spanning corporate and institutional banking, wealth management, asset management and insurance. 

We passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued and encourage applicants of all backgrounds, including diversity of origin, age, gender, sexual orientation, gender identity, religion applicants who may be living with a disability. We have a number of internal employee networks in place to empower our staff to act and challenge the status quo.

•    BNP Paribas PRIDE is highly active in favour of the LGBTQIA+ community

•    BNP Paribas MixCity which fosters better representation of women at all levels of the organization

•    Ability, the mutual aid network for employees with a disability or a disabling or chronic illness

•    BNP Paribas CulturAll which celebrates diverse backgrounds

BNP is committed to financing a carbon-neutral economy by 2050. The Group is a founding member of the Net-Zero Banking Alliance and has set up its own Low Carbon Transition Group to support its clients through their energy transitions.

https://careers.apac.bnpparibas/

More information 

BNP Paribas - Diversity & Inclusion Journey

BNP Paribas - The Bank Of Green Changes

Award Obtained

BNPP has won Top employer Europe award in a 10th consecutive year