Data Scientist

Phiture; Lisboa; Presencial; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

BNP Paribas Global Markets is seeking a highly qualified data scientist to join the GM Data and AI Lab in Lisbon. You will build ML/NLP models for front-office control, surveillance, and data-driven decision support, collaborating with finance professionals across global hubs.

You will develop analytical solutions, work with Python and ML packages, and ensure data integrity while exploring diverse data sources to enable informed business decisions.

Qualificações

• Master’s or PhD in Mathematics, Computer Science, Data Science or related quantitative field.
• Strong foundation in Probability, Inference and Linear Algebra.
• Knowledge or experience with ML techniques such as Classification, Prediction and Clustering.
• Programming skills in Python and knowledge of common numerical and ML packages (NumPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch).
• Ability to write clear and concise code and to work with data analytics and visualization techniques.

Responsabilidades

• Explore and examine data from diverse data sources.
• Conceptual modelling, statistical analysis, predictive modelling 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 with careful experiments.
• Discover hidden insights and enable data-driven decisions by stakeholders.
• Build workflows for ETL from various sources and link to existing datasets.
• Ensure data integrity and security.

Conhecimentos

Probability

Inference

Linear Algebra

ML Techniques

Classification

Prediction

Clustering

Python

NumPy

scikit-learn

TensorFlow

PyTorch

Data Visualization

Data Analytics

Concise Coding

Formação académica

Master’s or PhD in Mathematics, Computer Science, Data Science or related quantitative field

Ferramentas

NumPy

scikit-learn

Pandas

Keras

TensorFlow

PyTorch

Descrição da oferta de emprego

Keywords

Capital Markets, Surveillance, Data, Machine Learning, Artificial Intelligence, Natural Language Processing, Python, Statistics

About The Job

The Global Markets Data (GM) and AI Lab is a team of data scientists specializing in Machine Learning, Artificial Intelligence, Data Modelling and Natural Language Processing, to deliver high impact business solutions and to drive innovation in data-driven decision-making.

Based in Lisbon, you’ll work within a team of finance professionals from our global hubs in London, Paris, New York, etc., supporting BNPP CIB market activities globally, with a primary focus on Front Office Control and Surveillance (FOCS) topics. You’ll develop advanced analytical and machine‑learning solutions to improve surveillance of communications, helping detect and prevent undesirable behavior, meaning unprofessional conduct and market abuse.

Your Main Activities Are

• Explore and examine data from diverse data sources
• Conceptual modelling, statistical analysis, predictive modelling 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’s or PhD in Mathematics, Computer Science, Data Science or a related quantitative field
• Strong foundation in Probability, Inference and Linear Algebra
• Knowledge or experience with Machine‑Learning techniques such as Classification, Prediction and Clustering
• Programming skills in Python and knowledge of common numerical and machine-learning packages, such as NumPy, scikit‑learn, pandas, Keras, TensorFlow and 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

About The Team

GM Data and AI Lab, is a spinoff quantitative research team, tasked with building the next generation of data intelligence and language understanding products for BNP Paribas Global Markets, applying cutting edge AI, data modelling, and natural language processing techniques to strategic business projects.

About Global Markets

Global Markets, the capital markets division of BNP Paribas' Corporate & Institutional Banking, is a powerhouse delivering top-tier solutions across asset classes. Our Portugal Platform, in Porto and Lisbon stands as a major European HUB and a unique player in the country, boasting a wide range of Front Office roles and services – Trading, Sales, Research, Structuring, Quants & Engineering, Business Dev and Support, Marketing & Client Support, Risk Management, Data Analytics and Machine Learning. With rapid growth and ambitions to make a global impact, we offer numerous short and long-term opportunities.

Get a glimpse into our world.

Why joining BNP Paribas?

• Leading banking institution

Leading player in banking and financial services in Europe, BNP Paribas operates in 64 countries and has nearly 178,000 employees, including more than 144,000 in Europe.

• International reach

The Group holds key positions in several areas of banking and financial services that are structured around three operating divisions:

• Corporate & Institutional Banking (CIB) connects companies needing financing and institutional clients looking for investment opportunities division that offers tailored financial solutions for corporate and institutional clients.
• Commercial, Personal Banking & Services (CPBS) brings together all our commercial banks and several specialised businesses
• Investment & Protection Services (IPS) combines a unique continuum of products and services across protection, saving, investment and real estate including specialised businesses offering a wide range of savings, investment and protection services

Our presence in Portugal

In Portugal since 1985, BNP Paribas today has more than 9.220 employees, distributed across the Group's 10 business entities established in the country. Its presence also extends to 11 centres of expertise providing value-added services to various countries where the BNP Paribas Group also operates.

Diversity and Inclusion commitment

BNP Paribas ´ambition Is To Cultivate An Open And Responsive Environment For All That Encourages Collaboration And Interaction. We Demonstrate Our Commitment By Actively Contributing To The Group’s Diversity And Inclusion Strategy And Goals, In Line With The United Nations Sustainable Development Goals. As Part Of Our Local Corporate And Social Responsibility - Diversity & Inclusion Strategy, BNP Paribas Portugal Is Committed To

• Promote a fair and unbiased recruitment process and offer professional development opportunities to all employees
• Celebrate diversity and advocate for inclusion, both externally and internally, encouraging employee’s participation, creating space for different voices to be heard.

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 options adapted to our hybrid working environment. To ensure a comfortable and efficient working setup, eligible employees are provided with both office and home equipment, are entitled to an equipment allowance and can benefit from exclusive partnerships to purchase additional items at reduced prices.

Commitment towards work/life balance

Supporting employees in a hybrid way of working while providing them with the means to maintain a work-life balance is an essential dimension of our Smart Working program. At BNP Paribas, we care about our employees’ wellbeing and promote a culture of good integration between work and personal life.

• 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.