Data Science Graduate

BNP Paribas CIB; Lisboa; Híbrido; EUR 45 000 - 70 000; Tempo integral

Resumo da oferta

A leading financial institution is seeking a Data Scientist to join their GM Data and AI Lab in Lisbon. This role involves applying advanced techniques in Artificial Intelligence and Data modeling to support global market activities. The ideal candidate will have a Master's or PhD in a relevant field, experience in Python programming, and knowledge of machine learning. Join a dynamic team engaged in critical projects that shape the future of finance.

Serviços

Flexible remote working modalities

Equipment allowance

Commitment to work/life balance

Qualificações

• Knowledge of key concepts in Statistics and Mathematics such as Probability Theory, Inference, and Linear Algebra.
• Ability to write clear and concise code.
• Knowledge of data analytics, manipulation, and visualization techniques.

Responsabilidades

• Explore and examine data from multiple diverse data sources.
• Understand and work around limitations in analytic models.
• Discover hidden insights/embedded patterns to enable informed decisions.
• Help build workflows for extraction, transformation, and loading of different data.

Conhecimentos

data science

machine learning

programming

Python

data mining

statistics

Natural Language Processing

big data

Formação académica

Master or PhD degree in Computer Science / Data Science or similar

Ferramentas

NumPy

scikit-learn

pandas

Keras

TensorFlow

PyTorch

Descrição da oferta de emprego

Key Words

Key Words: data science, data mining, statistics, time series, modelling, research, machine learning, Artificial Intelligence, Natural Language Processing, programming, Python, ML, AI, NLP, big data, NumPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch, statistics, algorithmic, global markets, financial markets

About The Job

This GM Data and AI Lab is a small team of data scientists applying the latest techniques in Artificial Intelligence, Data modelling and Natural Language Processing to strategic projects for the business. The Lab works in close collaboration with Quant Research and Technology teams. The role will be in Lisbon, Portugal, working within a team of finance professionals supporting BNPP CIB market activities globally in collaboration with team members in London, Paris, Singapore and Frankfurt. A training in Paris may be provided at the beginning of the role in order to become familiar with the setup and to build relationships with other team members.

Your Main Activities Are

• Explore and examine data from multiple diverse data sources
• Conceptual modeling, statistical analysis, predictive modeling and optimization design
• Understand and work around limitations in analytic models
• Data cleanup, normalization and transformation
• Process optimization design based on historical data
• Hypothesis testing: being able to develop hypothesis and test with careful experiments
• Discover hidden insights/embedded patterns and enable business stakeholders to make decisions that are more informed
• Help build workflows for extraction, transformation and loading of different data from a variety of sources and enable linking them to existing systems and datasets
• Ensure the integrity and security of data

Profile And Skills To Success

• Master or PhD degree in Computer Science / Data Science / other science or engineering field
• Knowledge of key concepts in Statistics and Mathematics such as Probability Theory, Inference, and Linear Algebra
• Knowledge or experience in Machine Learning procedures and tasks such as Classification, Prediction, and Clustering
• Programming skills in Python and knowledge of common numerical and machine-learning packages (NumPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch)
• Ability to write clear and concise code
• Knowledge of data analytics, manipulation and visualization techniques
• Intellectually curious and willing to learn challenging concepts on a daily basis

It Will Be a Nice Plus If You Have

• Involvement with the Data Science community through platforms such as Kaggle, Numerai, Open ML, or others
• Knowledge of big data solutions (Kibana, Hadoop, Spark)
• Proven record of having successfully carried out independent research from exploring large datasets
• Knowledge of current Machine Learning/Artificial Intelligence literature
• Experience with other programming languages (C, C++, Ada, C#, Java, JavaScript)
• Wide IT culture: OS, parallelization, network, software engineering, new languages

About The Team

Global Markets Quantitative Research and Engineering (GMQRE) is a highly motivated team of financial engineers and computer scientists based in Lisbon and Porto, researching and performing quantitative engineering on diverse cross asset topics in equity, interest rates, credit, FX and XVA. GM Data and AI Lab is a spin-off quantitative research team whose mandate is to build the next generation of Data Intelligence and language understanding products used in BNP Paribas Global Markets. Along with the data engineers of Global Client Analytics (GCA), we are more than 40 high caliber engineers part of the Global Markets Front Office.

Why joining BNP Paribas?

• Leading banking institution

BNP Paribas is the European Union’s leading bank, and key player in international banking. It operates in 63 countries and has nearly 183,000 employees, including more than 146,000 in Europe.

• Our presence in Portugal

In Portugal since 1985, BNP Paribas today has more than 8,700 employees, distributed across the Group's 10 business entities established in the country. Its presence also extends to 11 excellence centers providing value-added services to various countries where the BNP Paribas Group also operates.

• International reach

Thanks To Its International Presence And Regular And Close Collaboration Among Its Different Entities, BNP Paribas Has The Resources To Support All Clients With Financing, Investment, Savings And Protection Solutions That Help Make Their Projects a Success. BNP Paribas Holds Key Positions In Its Three Core Operating Divisions

• Retail Banking, a division that brings together all of the Group’s retail activities and specialised business lines;
• Investment & Protection Services that include specialised businesses offering a wide range of savings, investment and protection services;
• Corporate & Institutional Banking division that offers tailored financial solutions for corporate and institutional clients.
• Diversity and Inclusion commitment

BNP Paribas is an equal opportunity employer and proud to provide equal employment opportunity to all job seekers. We are actively committed to ensuring that no individual is discriminated against on the grounds of age, disability, gender reassignment, marriage or civil partnership status, pregnancy and maternity/paternity, race, religion or belief, sex or sexual orientation. Equity and diversity are at the core of our recruitment policy because we believe that they foster creativity and efficiency, which in turn increase performance and productivity. We strive to reflect the society we live in, while keeping with the image of our clients.

• Commitment towards work/life balance

At BNP Paribas we care about our employees wellbeing and promote a culture of good integration between work and rest. We believe our employees have rich personal lives outside of work, being fundamental to be disconnected from work to recharge both physically and mentally. Only through this balance we may all be at our best while working.

• Remote Working Conditions

At BNP Paribas, we embrace a Smart Working framework based on trust, autonomy and collaboration. Within this framework, eligible employees can benefit from flexible remote working modalities adapted to our hybrid working environment. To guarantee a comfortable and efficient working set-up, eligible employees are provided with both the office and home equipment, are entitled to an equipment allowance and can benefit from exclusive partnerships to purchase additional equipment at reduced prices.

To find out more on why you should join BNP Paribas visit https://bnpp.lk/why-BNP-Paribas-Portugal

• Please note that only applications submitted in English will be considered.
• In case you are selected for this role, further documentation will be requested to support your hiring process.