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TD BANK EUROPE is looking for employees for positions:
engineer
engineer
manager
payroll manager
paralegal
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
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