MI Analyst

  • Location:

    City of London, London

  • Sector:

    Finance Consultancy

  • Job type:

    Permanent

  • Salary:

    £30000 - £35000 per annum

  • Contact:

    Lydia Riley

  • Job ref:

    151515LGLR_1586964837

  • Published:

    about 1 month ago

  • Expiry date:

    2020-05-15

  • Start date:

    ASAP

We are currently recruiting for a Global Asset Management company based in the City. Their company is growing and they are therefore looking to grow their finance team. The role is for an MI analyst:

The responsibilities of the role include:

  • Production of MI to support a number of business areas
  • Working closely with the business partners, the wider MI team, the FP&A team and offshore teams
  • Ensuring a detailed understanding of the cost base and the targets set, as well as a high-level understanding of revenues generated in other office functions
  • Timely completion of accurate monthly global expense reporting and ad-hoc expense analysis as required.
  • Ensure the financials for any transformational initiatives are embedded into all plans and forecasts.
  • Ensure tight control is maintained across all relevant areas
  • Supporting the audit process and taking a lead role in the timely closure of any audit or control
  • Work closely with the offshore team to ensure appropriate level of service is maintained
  • Support business unit planning and forecasting processes.

Successful Candidates will have:

  • Experience in Financial Analysis role, ideally within an investment management business.
  • Good understanding of all financial disciplines and reporting
  • Experience of effectively sourcing, analysing, modelling and drawing insights from financial data
  • Experience of preparing MI and reports that effectively present financial data and provide suitable analytical commentary
  • Experience of working with overseas operations and analysing relevant cross border information flows.
  • Understanding of financial systems and processes
  • Managing expectations and prioritisation of tasks
  • Effective communication and influencing skills
  • Strong analysis skills of complex data
  • University degree
  • Part -Qualified
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