Senior Data Analyst

S2M are working with a FinTech who have created a unique financial product to help thousands of people better manage their finance, and is currently scaling the company to the next level!

They are looking for a Data Scientist to join at the Senior level, and looking for someone who wants to be hands on, with opportunity to grow the team in future.

Areas of focus

  • Product performance improvement within the core app
  • User experience improvement within the core app
  • Credit and financial risk optimisation for lending
  • Marketing and growth optimisation
  • Any areas of the business which can be optimised using data analytics
  • Leading and eventually building our internal data science capability by coaching and mentoring other data scientists
  • Develop and code software programs, algorithms and automated processes to cleanse, integrate and evaluate large data sets from multiple disparate sources.
  • Work with massive and complex data sets from multiple sources, utilising big data tools and techniques for the purposes of analysing, providing insight and validating hypotheses.
  • Performing deep dive analyses of experiments through reliable modelling methods that include numerous explanatory variables and covariates.
  • Ensure quality of team deliverables by implementing appropriate model review practices
  • Translating analytical insights into concrete, actionable recommendations for business, process or product improvements.
  • Making recommendations for the collection of new data or the refinement of existing data sources and storage.
Your experience: 
  • Experience in leading a data science function.
  • 5+ years’ experience in a data science environment.
  • Ability to manipulate and analyse complex, high-volume, high dimensionality data and metadata from varying sources.
  • Passion for empirical research and for answering hard questions with data.
  • Must have experience using modern machine learning techniques (CNN, Deep Learning etc.)
  • Experience working in an AWS environment.
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
  • Flexible analytical approach that allows for results at varying levels of precision.
  • Solid understanding and experience with programming logic and various paradigms.