Data Scientist

Recruiter
Chi Square Analytics
Location
London, South East England
Salary
50000.0000
Posted
13 Jul 2017
Closes
12 Aug 2017
Contract Type
Permanent
Hours
Full Time

Decision Scientist - £60,000 plus shares - London

One of fastest growing fin-tech start-ups are looking at expanding their data science team by hiring data scientist.

This fin-tech is a leader in business loans, they are taking on global banking systems, finding better ways for businesses to borrow and investors to lend, by connecting them together. They may work in the finance industry, but at their core they are a technology company that does finance, positioning them at the front of the fin-tech revolution.

Key Benefits

  • Salary up to £60,000 plus shares
  • One of the fastest growing fin-tech start-ups in the world
  • A wide range of data science engagements - machine learning, artificial intelligence and natural language processing etc

Responsibilities

  • The role sits within Risk function and works closely with Credit Risk Strategy, Portfolio Management, Underwriting and IT Systems teams.
  • Responsible for building / maintenance / re-development of the different scoring models used within underwriting, fraud prevention, collections and recoveries, marketing.
  • The role is focused on UK market; however, some occasional travel might be required to support colleagues in other European locations.

Key Skills

  • Demonstrated proficiency in predictive modelling.
  • Proven problem-solving skills using logical reasoning and analytical methods.
  • Advanced knowledge of or Python
  • Bachelor or Master degree in quantitative related field (Statistics, Mathematics, Data Science, Engineering, Computer Science, etc.)
  • Experience in credit risk scorecard modelling / predictive analytics in SME or retail lending environment would be advantageous

There’s never been a better time to join. They are embracing new technology, whether it’s related to base platform of Ruby, JavaScript or the growing Clojure team.

Greenfield start-ups are great, but growing and innovating on a platform already pushing millions of transactions through it, is where the great engineers step forward.