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    Data Scientist - London, United Kingdom - bbva

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    Description

    Area:
    CORPORATE & INVESTMENT BANKING

    Company:
    Z01

    What are we looking for?

    STEM talent in the BBVA group: What we offer you?

  • You will be part of a team of more than Technology and Data experts, in 25 countries, whose aim is to take the bank further thanks to technology.
  • You will participate in one of the close to 1,800 cutting-edge technology projects that we implement annually with a positive impact on 85 million people.
  • You will work with a wide range of technologies, from the most experienced to the most disruptive: 46 different programming languages, 201 development platforms, etc.
  • You will collaborate with our main tech partners - Microsoft, Google, AWS, Salesforce, IBM, RedHat, Telefonica, Cisco, Genesys, etc.
  • You will carry out innovative projects in areas such as Development, Architecture, Security, Infrastructure and Data. .
  • You will learn by working in your project, you will work with referents and you will have access to the entire BBVA training offer and to the Ninja project, a gamified training platform with a community of more than 11,000 participants with more than 2,000 talks, 1,300 workshops and 48 hackathons held.
  • Qualifications

    Previous experience and knowledge:

  • Engineering or STEM education is desirable.
  • Masters in Data Science or Quantitative Finance is a plus.
  • 3-4 years of previous experience in Data Science / Machine Learning.
  • Knowledge of financial markets.
  • Knowledge of optimal market-making frameworks based on stochastic optimization is a plus.
  • Strong Python is a requirement, but experience with Java and KDB+/Q is highly desirable.
  • Algorithmic Trading and Stochastic Calculus knowledge.
  • Languages:

  • A good level of English is required.
  • Spanish is a plus.
  • Soft Skills:

  • Energetic.
  • Communicative.
  • Teamplayer
  • Committed.

  • Overview

    About the role

    Data Scientist to work with the credit trading desk in London developing the market making algorithms for corporate bonds and other data-driven trading analytics and models.

    We are looking for a Data Scientist to join the Advanced Analytics & Algorithmic Trading team. The position is in London, to work with the credit flow trading desk developing the market-making algorithms for corporate bonds. The successful candidate will also help the trading desk implement trading tools based on data, like predictive models, indicators, and relevant metrics.

    Working at BBVA

    BBVA is a global company with over 160 years of history present in 25 countries with over 81 million customers. We are more than 110,000 professionals working in multidisciplinary and diverse teams.

    At BBVA, we are ahead of the transformation that is taking place in the banking sector, challenging the status quo, to make life easier to our customers.

    Being part of BBVA means developing your career in one of the most innovative companies in finance.

    Responsible banking

    We're committed to responsible banking to help drive a more inclusive and sustainable society . The future of banking lies in financing the future.

    We started out with the spirit of helping others make the best financial decisions. That spirit remains with us today and encourages us to keep moving forward, prioritizing innovation and digital transformation so that we can put the opportunities of this new era within everyone's reach.

    Diversity

    At BBVA we believe having a diverse team makes us a better bank.

    For this reason, we actively support diversity, inclusion and equal opportunities regardless race, sex, age, religion, sexual orientation, gender identity or expression. We cultivate a collaborative and inclusive work environment that allows every employee to do their best work.

    Our values

    Our values define our identity ; they are what drives us to make our goals a reality and they guide all of our actions and the decisions we make.

    Customer comes first

    We think big

    We are one team


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