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Financial Risk Modeller


Bullet points
  • We are seeing risk modelling becoming increasingly popular

  • This is not a live vacancy but to register to hear of opportunities first

About Our Client

By applying to this advert you are applying to hear about opportunities rather than applying to a particular role.

Michael Page are part of PageGroup who are a FTSE250 company that have been providing high quality permanent recruitment services for over 40 years.

We have 27 offices and over 1,400 employees in the UK & Ireland.

The combination of networks and databases that have been established over this time means we are recognised as a true leader in our field.

Roles in this filed will allow you to:

- work on key model development projects using predictive analytics and machine learning techniques.

- be exposed to a wide range of stakeholders from across the business, helping you learn and develop your skills and knowledge.

- work with a variety of models within the team and you will be given room to use your creative flair to experiment and discover the optimal modelled solutions.

- be involved in the design, development, implementation and monitoring of predictive models. Technical information will need to be documented and explained to a range of audiences, so the ability to describe complex information in a non-technical manner is key.

- will work closely with key stakeholders such as Risk, Internal Audit, FP&A as well at to present to the board and other senior stakeholders.

The Successful Applicant

- have the ability to understand data and its application to the wider business

- experience of external auditing and financial modelling is most common

- you may also be an internal auditor, risk professional or data scientist, who is highly numerate, has a technical and analytical way of thinking, is excellent at problem solving and is willing to grow and develop

- highly motivated and capable of working on a combination of different activities as well as being an effective communicator at all levels

- experience of risk modelling in SAS and SQL or @Risk (Monte Carlo) would be advantageous

- exposure to R, Python and Machine Learning techniques would also be beneficial.

What's on Offer
  • exciting career development opportunities
  • working in a thought provoking role
  • competitive salaries
  • by applying Michael Page can keep you updated on roles available in this field
Contact: Rebecca Scuffam Quote job ref: 14057410 +44 207 269 2171 Job summary Job function:Audit & Advisory Subsector:Corporate Finance Industry:Technology & Telecoms Location:City of London Contract type:Permanent Consultant name:Rebecca Scuffam Consultant phone:+44 207 269 2171 Job reference:14057410

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London, England, London, EC2V, United Kingdom

  • Ad ID:  14902111
  • Ad Type:  Offered
  • Posted on:  04/07/2020, 02:54
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