Senior Data Analyst - Lending & Credit Risk

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