Machine Learning Senior Officer

1 semana atrás

Lisboa, Lisboa, Portugal BNP Paribas Tempo inteiro
MACHINE LEARNING SENIOR OFFICER (

JOB NUMBER:
2307LCF15733)

About the job

  • Fully integrated in the BNP Paribas Group, BNP Paribas Corporate and Institutional Banking (CIB) is a leading provider of solutions to two client franchises: corporate and institutional clients, and operates across EMEA (Europe Middle East Africa), APAC (Asia Pacific) and the Americas
  • BNP Paribas CIB strives to service the global economy by providing solutions to its clients in financing (ECM, DCM, specialized financing), flow banking (trade finance and cash management), financial advisory (M&A, project finance), global markets (interest rates, credit, foreign exchange, equity derivatives), risk management, and securities services

Your Main Activities Are

  • Analyze internal clients' needs:
  • Collaborate with clients to best understand their operational and strategic needs in terms of complex AI/ML challenges
  • Investigate and solve business issues using technical, datadriven, AI/ML strategies
  • Build and/or adapt AI/ML models:
  • Design and develop Machine Learning (ML) and Artificial Intelligence (AI) solutions, i.e., collect and label data, setup and train models, test and evaluate results
  • Design the most adequate approaches to solve the identified problems within the company's framework
  • Implement and assist the deployment and maintenance of models:
  • Follow the best practices in industry to implement and scale out the developed solutions into production grade software
  • Assist the operational teams with the deployment, monitoring and maintenance of the developed solutions
  • Contribute to disseminate a culture of data driven solutions within CIB
  • Maintain a strong market watch on the latest developments on methodologies, technologies and tools

Profile and Skills to Success

  • At least 4 (four) years of professional experience in Machine Learning, Data Analysis or Data Science
  • Masters Degree in mathematics, statistics, data science, computer science or any engineering related field
  • Fluency in English
  • Ability to think abstractly and creatively
  • Ability to explain the results of a model and the different elements impacting it
  • High statistical and quantitative analysis skills (e.g. machine learning models, statistical models, Bayesian statistics, probability theory, time series analysis)
  • Knowledge of ETL methods
  • Knowledge of Machine Learning models
  • Knowledge of NLP and/or computer vision techniques
  • Knowledge of deep learning architectures and frameworks (e.g. TensorFlow, Keras)
  • Knowledge of at least one ML development stack (e.g. Scikitlearn, Keras, PyTorch)
  • Effective Programming skills (e.g. Python) and algorithmic knowledge
  • Knowledge of functional programming (e.g. Scala, PySpark)
  • Excellent communication and interpersonal skills
  • Flexibility: ability to work in a changing environment
  • Researchoriented

About the Team
LI-Hybrid

Why joining BNP Paribas?
-
Leading banking institution


BNP Paribas is a leader in the Eurozone, and a prominent international banking institution with strong roots in Europe's banking history.

It has a presence in 65 countries, with around Employees - including more than in Europe.

- Our presence in Portugal**Since 1985, BNP Paribas was one of the first foreign banks to operate in the country. Today, the Group has around 7.100 employees across several entities operating directly in the territory, offering a wide range of integrated financial solutions to support its clients and their businesses.
-
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
-
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 environm

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