TD BANK EUROPE  Salary

60 THREADNEEDLE STREET LONDON EC2R 8AP
TIN: 02734652

TD BANK EUROPE
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TD BANK EUROPE is looking for employees for positions:

engineer

Education

  • college/University degree with emphasis on numerical subjects

Requirements

  • minimum 3 years' experience working in a relevant engineering, statistical or financial role
  • strong Python, modern programming language experience
  • working knowledge of Pandas and Numpy
  • effective SQL and RDBMS knowledge
  • prior project experience in Client Analysis, Transaction Cost Analysis, Market Data Analysis, PnL reporting or Marketing Analysis a plus
  • proficiency working with and cleaning data, including data-scraping, and dealing with streaming and time series data sets
  • knowledge of capital markets, preferably in eTrading else similar financial, operational, or regulatory data lifecycles and system workflows
  • visualisation libraries , dashboarding using Plotly Dash or Shiny

Responsibility

  • key to our approach and culture is a strong engineering philosophy and embracing new techniques and technology
  • the mission of the Data Engineering, Analytics and Innovation team is to own, build and develop the tools, best practices, and datasets needed to drive data-driven insights and efficiencies across the business
  • we are looking for a passionate and experienced full-stack Python Engineer to help us build out and evolve our front office Data and Analytics platform and community
  • the successful candidate will demonstrate the ability to learn on the job, be adaptable in a dynamic work environment, and manage and communicate priorities effectively
  • this is a truly varied, hands-on role requiring the successful candidate to be comfortable switching from individual project work, to driving discussions and communication with key stakeholders to supporting the immediate and wider team as necessary
  • this is a highly ambitious and fast-growing new technology team, focused on delivering with impact and with best practices, continuous improvement and learning as core philosophies
  • demonstrate and promote best practices; seek to continually evolve and improve our workflows, tooling, and development practices and environment
  • own, support and contribute to the planning, communication, design, and implementation of key business deliverables