What you will do day to day:

  • Partner with multiple internal stakeholders across the lending side of the business, including both internal stakeholders and external partners, to understand business problems and communicate analytics requirements
  • Define consistent lending metrics across internal teams and external partners relating to both growth of the lending portfolio as well as risk management 
  • Develop diagram/chart, reporting, monitoring and self-serve experiences to create consistent and efficient access to these metrics
  • Create actionable insights through sound analysis, to drive management decisions around improving growth of lending business and effectively managing risks
  • Work closely with the data engineering teams, data science team and junior analysts.


What you will need to have:

  • Experience in financial services (i.e. banking, fintech, etc) and with credit risk analysis minimum 4 years.
  • Strong skills are required with respect to:
    • SQL
    • Python and the pydata ecosystem
    • BI tools such as Looker, Google Data Studio or similar such tools
    • Experience with GCP BigQuery, Airflow and dbt is desirable
  • A strong appreciation for the various facets of data governance that are required to be adhered to given the context of a highly regulated organisation that is interacting and sharing data with multiple ecosystem partners. This particularly relates to:
    • data access policies
    • consistency of business metric definitions
    • consistency in usage of nomenclature
    • discoverability of data
  • A passion for storytelling and skills in constructing cohesive business narratives from analytical data with the ability to deliver actionable insights from these.
  • An understanding of the nuances of how to effectively visually communicate high dimension complex information. The individual should be capable of codifying this information, for example by producing style guides. 
  • Empathy for potential skills deficiencies of consumers of BI within the organisation. This will be important to help improve self-service access both by improving tooling, making information more discoverable, driving training and upskilling of non BI team members.


What’s in it for you:

  • Competitive full-time salary.
  • Working with world class data professionals
  • Working from anywhere policy.
  • Exposure to one of the fastest growing profitable fintechs in the world

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