Weaver Fintech Ltd
Role Overview
As the Junior Credit Risk Analyst, you will help the business get more value out of every data source it touches. Working closely with senior analysts and the Credit Risk Executive, you will gather, clean and combine data from across the group, the credit bureaux and alternative data sources, and turn it into analysis that informs strategic credit risk decisions.
This is a hands-on, learning-rich role for an early-career analyst who is curious about data and wants to see their analysis drive real decisions across underwriting, limits, collections and portfolio monitoring.
More about the role
Source, extract and prepare data from across the group, credit bureau feeds and alternative data sources, building clean, reliable datasets for analysis
Help identify and unlock new value from existing and emerging data sources – spotting useful signals, new attributes and data quality issues
Use SQL/Python to obtain data from the Data Warehouse and support the maintenance of analytical data assets
Perform ‘what if’ and ad-hoc analysis to support credit strategy across acquisition, limits, collections and recoveries
Support the monitoring of risk-based strategies in acquisition to ensure only customers with the correct risk levels are acquired
Help review credit limits to ensure the business exposure strategy is met
Build and maintain reporting and dashboards that track credit quality of business booked and the credit portfolio
Support the development and back-testing of scorecards and predictive models
Use a data-oriented approach to work with others in solving business problems around profitability, marketing, risk and operations
Assist the Credit Risk Executive and senior analysts on key projects, ensuring strong planning and communication throughout
More about you
Experience & Skills
A minimum of 1–2 years’ experience in Credit Risk, data analytics or a related field (recent graduates with strong analytical internships will be considered)
A numerate degree e.g. BCom, B Bus Sci, B Eng, BSc
Good computer literacy skills with proficiency in MS Excel
The ability to creatively solve problems
The ability to interrogate and interpret numerical and statistical information
Advantages
SQL & Snowflake
Exposure to credit bureau and/or alternative data sources
Python/R or equivalent
Retail credit or BNPL experience
Use of Gen AI
Attributes & Behaviours
Natural curiosity around data and problem solving
Strong analytical skills and a self-motivated driver of performance
Proactive and able to identify, highlight, analyse and action based on information available
Able to work with other areas to ensure analytical outputs can be driven through to execution to create value
Excellent interpersonal communication (verbal & written), assertiveness and judgment skills
The ability to simply explain complex solutions
Strong planning, organising and coordinating skills
Exceptional attention to detail with a thorough approach to work
A strong can-do attitude and an energetic positive approach
A solid work ethic and a passion for digital Financial Services
Eager to learn, coachable and entrepreneurial by nature
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