Graduate Options - Data Scientist
FD Technologies
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Graduate Options - Data Scientist

FD Technologies
  • Graduate Program / Job Rotation Program (From 19 to 24 months)
  • Northern Ireland, United Kingdom
  • Published on August 30 2021
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Job description

COVID-19 update: It's business as usual at FD Technologies, we are recruiting now and throughout the year. In-line with Government guidelines we are following the social distancing recommendations and all interviews are currently being conducted by telephone and video calls.

On the Data Science stream of our Options Graduate Scheme, you will be offered a unique opportunity to enter the Big Data world where the emphasis is on problem-solving using a combination of analytics, imagination and business understanding. Data Scientists explore vast amounts of information to detect patterns, trends and correlations that enable our clients to improve their products, services and revenue.

As a Data Scientist, you will work with our clients at their office sites, so you must be willing to travel extensively. The projects you may be working on will vary - our clients range from financial services to manufacturing to telecoms, just to name a few.

Training
Data Scientists will also partake in the award-winning Capital Markets Training Programme (CMTP), giving you the unique opportunity to expand your skillset and potential. Candidates will be exposed to the latest technologies for both structured and unstructured data including the market-leading kdb+ database and q analytics language, Hadoop, SAP HANA, IOS and Android all of which are hosted across best-in-class hardware, mobile and cloud-based platforms.

What types of projects will I be working on?
Given our wide breadth of clientele, your role will vary widely depending on your project work. Usually you will work on each client project for six-eight months, so you will work on three-four different projects over the two-year period. There a variety of different roles you could take off, ranging from R&D to developing a client solution using the Kx platform suite. This could be something like creating a user interface (UI) for upgrading system functionality. Some projects you work on will be closely aligned with other teams, like the Machine Learning team, to develop the most efficient systems. Most roles are within the capital markets sector but there is a growing number of roles in other industries as well, including automotive, manufacturing, utilities and more.

Benefits
Through the Options Programme, you get the opportunity to work with top firms very early on in your career. Many of our employees have worked on projects in a Tier 1 bank within a few months of leaving university. There are unlimited opportunities to expand your knowledge, each role opens the door to new languages, programs and applications. The CMTP programme provides a multitude of learning opportunities in areas of finance, technology and consulting.

Other benefits include

  • Competitive salary
  • Accommodation and expenses package
  • Award winning training
  • Global travel opportunities
  • Rapid career progression
  • Healthcare and pension packages
  • Supportive team environment
  • Social calendar
What is a typical day like?
There really is no 'typical day' as a Data Scientist! Projects and roles vary enormously, but this means you're never bored and always learning new things. Even a role within a new project with the same role title as you previously had could be different. One day you could be designing and building a user interface and the next you could be preparing data for analysis and visualisation.

What we are looking for

  • An inquisitive mindset, an aptitude for problem-solving and technical skills to combine them
  • Excellent communication skills to present findings and articulate their business benefits.
  • Experience with Java, C/C++ and/or UNIX is beneficial but not a requirement
  • A self-starter who is constantly looking for opportunities to improve
  • Willingness to travel to various parts of the world to work with clients
  • Commitment to the two year training period, which rolls into a full-time permanent position


Qualifications

Strong academic background - ideally ABB or above at A-Level (or equivalent) and a 2.1 degree in computing, mathematics, statistics, data science, physics, engineering or a similar quantitative discipline
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