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Portfolio Strategist - Director of Data Science

Cobalt Recruitment
Posted 13 hours ago, valid for 6 days
Location

London, Greater London EC1R 0WX

Salary

£45,000 - £54,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The Retail Portfolio Planner position in London offers a competitive salary and benefits package.
  • The role involves developing innovative approaches to footprint optimization for a finance sector client, requiring experience in partnering with stakeholders to integrate business objectives with data.
  • Candidates should have a bachelor's degree in a related field and progressive consulting or solution development experience, preferably with a finance sector background.
  • Advanced analytical skills, including knowledge of R/Python and big data techniques, are essential, along with the ability to handle large datasets and provide insightful recommendations.
  • The ideal candidate will possess strong communication and relationship-building skills, with a focus on client satisfaction and collaboration.

Retail Portfolio Planner,

London

Competitive salary & benefits package

On the back of securing a significant global occupier account, my client is seeing a Retail Portfolio Panner to lead the development of unique innovative approaches to footprint optimization for a finance sector client to support their retail and quasi retail requirements.

You are a great fit if you have experience partnering with business stakeholders to weave business objectives and internal data with 3rd party data to develop predictive or spatial models for action-oriented deployment.

This role requires broad knowledge of data science techniques and ability to adapt and expand successful analytical solutions as well as finance sector background supporting retail analysis and portfolio planning. This is a highly visible position that will collaborate often with internal and external client senior management teams. My client is looking for a proactive and creative candidate with strong written and oral communication skills and diverse subject matter expertise who values collaboration, integrity, and their clients' ultimate satisfaction with the services my client provides.

Knowledge & Experience:

·Bachelor's degree in Business, Accounting, Math, Statistics, Computer Science, Finance, Economics, or related field

·Progressive consulting and/or solution development experience required.

·Applicable understanding of commercial real estate practices strongly preferred.

·Finance sector experience preferred

·Advanced analytical skills and techniques, including deep statistical knowledge, big data knowledge, visualization, and data exploration. Experience with R/Python and/or Alteryx preferred.

·Experience in the application of skills to develop a variety of different model types to generate action-oriented outputs foundational to long term client strategy.

·Ability to handle large amounts of data, identify key information, and provide insightful recommendations to all levels within the organization with minimal direction.

·Superior understanding of business concepts and the ability to creatively apply these to varying client needs.

·Ability to influence and manage clients using superior relationship building, communication, and leadership skills.

·Quality engagement of clients, partners, and prospects; maintain professional, positive, well-documented client communications.

To learn more about this role, please apply online with your most recent CV

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.