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Data & Artificial Intelligence Lab - Quantitative Research

Type de contrat

Standard / Permanent

Localisation

PT-11-Lisbon

Country

Portugal

Métier / fonction

FINANCIAL AND TECHNICAL EXPERTISE

Postuler REF: 1801GMFOS0041
BNP Paribas is a leading European bank with an international reach. It has a presence in 73 countries, with more than 192,000 employees – including more than 146,000 in Europe and over 4,000 in Portugal alone.
BNP Paribas is present in Portugal since 1985, having been one of the first foreign banks to operate in the country. Today, BNP Paribas has several entities operating directly in this territory, offering a wide range of integrated financial solutions to support its clients and their businesses.
Worldwide, the Group has key positions in its three main activities: Domestic Markets and International Financial Services (whose retail-banking networks and financial services are covered by Retail Banking & Services) and Corporate & Institutional Banking, which serves two client franchises: corporate clients and institutional investors. The Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporate and institutional clients) to realise their projects through solutions spanning financing, investment, savings and protection insurance.
 
Global Market is the part of the Corporate and Institutional Bank (CIB) which deals with all Capital Market trading activities: we are indeed offering millions of different products to our clients across the world on various asset classes like Equity, Foreign Exchange, Interest Rates, Credit or Commodity. Those products can be as simple as trading a stock on an exchange to quite complicated structures meeting the very specific investment needs of a client.
 
As Market Maker we are constantly offering to buy or sell those products at a price which needs to react quickly to any Market conditions and sentiment change. Our goal is indeed to offer the best-in class service to our client while managing tightly the risk associated to those products.
 
The role of our Lab in this context is to use the latest techniques of Machine Learning, Artificial Intelligence or Natural Language Processing to help Global Market do a better job.
 
ROLE AND RESPONSIBILITIES
  • Understanding better the needs of our clients to provide acute recommendation,
  • Help the Sales prioritize better their daily calls to improve their hit rate by being more relevant to their clients,
  • Anticipate better the next move in the Market to help trading offering a better service
  • Working with Economists and Strategists to analyse better what drive the economy or a particular asset
For this we need to leverage the gigabytes of data we are accumulating every day, under very structured format when looking at Market Data but as well under unstructured format when considering for example all the chats or voice conversations between the Bank and its clients, the News or Tweets mentioning the corporates we are dealing with, the journey of our clients on our platforms or why not satellite images of Earth!
 
PROFILE
 
  • Machine learning, NLP/NLG culture.
  • Good understanding of Computer Science: algorithms, complexity, etc.
  • Experience with a few programming languages
  • Hands on and proactive approach
  • Accuracy and absolute attention to detail required
  • Effective problem solver and consensus builder
  • Fluency in English
  • Available for a training period abroad (2 to 4 months in either Paris, London or Frankfurt)
  • Engineering mind-set and culture
  • Interest in Open Source projects and communities
  • Interest in financial mathematics, statistics
  • Notions of French are welcome
  •  
    One of the following qualifications:
    • Master or PhD degree in Mathematics or Computer Science
    • PhD in Science or Engineering, with an interest for Mathematics and Computer Science
    To do this job we first need people who love working with data but are not afraid to deal with the hard problems associated to it: a big part of our job is indeed about gathering the data, understanding it, cleaning it, normalizing it and finally extracting what will be relevant to the problem in a usable format.
     
    We then need people who are delivery driven, who know what it takes to build a robust application, who like to code but will pay attention to details as their work will go quickly in production and will be used on a daily basis by the hundreds of employees of BNPP who expect high level of reliability.
     
    We finally look for people who love to spend time modelling, being innovative in their solution, who don’t mind pressure and are not afraid to fail, and who understand that to go big, we first need to start small.
     
    The role will be in Lisbon, Portugal working within a team of finance professionals supporting BNPP CIB market activities globally. The projects and tasks will be worked on in collaboration with team members in London and Paris. A period of 2 to 4 months training in London or Paris is envisaged at the beginning of the role in order to become familiar.
     
    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.
     
    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, 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.

     
    Primary Location: PT-11-Lisbon Job Type: Standard / Permanent Job: FINANCIAL AND TECHNICAL EXPERTISE Education Level: Master Degree or equivalent (> 4 years) Experience Level: At least 1 year Schedule: Full-time