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Data Researcher - Funds - Italian or Scandinavian language

Job Title: Data Researcher - Funds - Italian or Scandinavian language
Contract Type: Temporary
Location: London, England
Industry:
Salary: Up to £9.39 per hour
Start Date: ASAP
Duration: 5 months
REF: 1116669987_1521551362
Contact Name: Zivile Asanaviciute
Contact Email: cv@projectrecruit.com
Job Published: about 1 month ago

Job Description

Data Researcher - Mutual Funds - Italian or Scandinavian language speaker

Our client, a global leader in the finance sector, is seeking a motivated and driven individual with strong attention to detail and a passion for finance to join the team in a temporary capacity, working on data research projects on the Mutual Funds product with an immediate start to the 17th August 2018.

The successful candidate will be responsible for the build-out of content and maintenance of Funds and Holdings data for the European markets.

Applicants should have extremely good communication skills and be confident to engage with finance professionals over the phone. Ability to multi-task, attention to detail and ability to maintain focus and motivation while working independently is essential.

Successful applicants will receive world-class training, work in a complex and exciting environment and have the opportunity to apply for permanent roles within the business.

Skills

  • Degree in finance, economics or similar discipline or equivalent work experience.
  • Advanced Excel skills
  • Interest and/or proven experience in information technology and statistical analysis or computer programming (for example VBA, SQL, MATLAB, Python)
  • Strong interpersonal and communication skills
  • Effective research and analysis skills
  • Strong organizational and multi-tasking skills
  • Ability to meet deadlines and logically tackle problems
  • Fluency in Italian or Scandinavian language in addition English

Responsibilities include

  • Maintaining and enhancing the existing database
  • Sourcing and qualifying relevant Funds Data
  • Identifying process efficiencies to manage large volumes of data
  • Ensure the quality of the data received