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Data Analyst (Asset Management) | Entry Level/Early Career

  • Data

  • London, UK

  • £40,000 - £70,000

  • Permanent

Apply now

Recruiting this role:

George Rand

George Rand

Data Analyst | Asset Management | Entry level/Early Career | Upto £70k + 30% bonus | Hybrid Working |

Salary: upto £70,000 (plus upto 30% bonus and benefits)

Location: London Hybrid Working- 3/4 days in the office

Interview Process: 2 stages and a test

Visa: No sponsorship offered (must have fully UK working rights)

Burns Sheehan are the hiring partner for a leading Asset Management company, who have advised on over £30billon in assets. They are currently revolutionising the $10trillion industry of liquid finance and private markets and are looking to build the most exciting tool on the market and create data driven asset management.

The role will include loading, cleaning and crunching data in order to create automation and marking sense of data from multiple sources.

The requirements of this Data Analyst position are:

  • Be either a graduate or within the first 3 years of your career as a Data Analyst- either in the finance sector or have a keen interest within it.
  • Have experience with Python (pandas, jupyter notebooks, plotly).
  • Ideally have experience with Django.
  • Have experience with extracting, cleaning and making data it easier to report on.
  • Strong educational background, with a demonstrated analytical background and mindset.
  • Have great communication skills.

To be considered immediately for this Data Analyst position please apply as soon as possible.

Salary: upto £70,000 (plus upto 30% bonus and benefits)

Location: London Hybrid Working- 3/4 days in the office

Interview Process: 2 stages and a test

Visa: No sponsorship offered (must have fully UK working rights)

Data Analyst | Asset Management | Entry level/Early Career | Upto £70k + 30% bonus | Hybrid Working |

Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.

Apply now

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