Decision Scientist, Remote – £45-55k Base + Bens + Bonus

/Decision Scientist, Remote – £45-55k Base + Bens + Bonus

Decision Scientist, Remote – £45-55k Base + Bens + Bonus

September 9, 2021
Remote work
£40,000 - £50,000


The Business: 

Upcoming Financial Services firm who put their Employees first, at the beginning of a special journey in Data & Analytics being at the heart of their Business. 2 days in the office, 3 at home – meaning we can look at Candidates anywhere in the North really or further perhaps if you’re willing to stay over a night per week. Benefits are fantastic, as is the development and the working environment.  

The role: 

The main purpose of the Decision Science function is to be responsible for owning the post purchase forecasting, building models to ensure forecasting is completed in an efficient manner. The ideal candidate is experienced in credit risk and collections and has a proven track record of working collaboratively across teams to ensure knowledge is shared and a robust forecasting process adopted.  


  • Degree Educated – preferably In Maths / Stats or Physical Sciences 
  • Must be proficient in SQL and Python 
  • Experienced in building Models – Statistical, Forecasting, Pricing & Operational 

We’re looking at setting up interviews ASAP. 

Benefits of working here: 

Besides working with cutting edge infrastructure and on some amazing projects with awesome people - You’ll be well looked after, with an outstanding working environment – progressive and full of bright people. You’ll also have awesome benefits and a bonus, along with the opportunity to be developed with some fantastic training. 

Interview process will be smooth and quick and we can guide you through it well with some work on your part. 

Feel free to call or email any of the team at PeopleGenius for more info  

Keywords: Analyst, Modelling Analyst, Forecasting Analyst, Credit Risk Analyst, Senior Credit Risk Analyst, Senior Collections Analyst, Collections Analyst, Portfolio Analyst, Senior Analyst, Modelling, Forecasting, Data Science, Analytics 

Location: Remote  



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