London 
Full-time Our client is a newly launched UK bank, delivering savings and loans solutions to customers through online channels and our branch. With a commitment to trust, inclusivity and facilitating the goals and dreams of customers in a meaningful way, their values are to be Dependable, Authentic, Respectful and Transparent. They have the culture and spirit of a fast-moving technology company and are focused on providing customers with a great banking experience and fellow employees with a collaborative and positive work environment.
Role Overview
This new role, integral to the Data Science Team, is responsible for producing analytics to develop and deliver credit risk reporting and modelling. You will be part of the team that helps with the next phase of business growth by mapping out the credit risk requirements, providing expertise and creating and developing essential reports to inform strategic decisions. You will contribute to reporting, monitoring and providing insight on the portfolio in order to improve acquisition and portfolio management, optimise risk reward and drive profitability, whilst ensuring customers are treated fairly, offered competitive prices and given an excellent experience.
Duties & Responsibilities
- Input into the development and maintenance of loan acquisition strategy to ensure that acceptance criteria perform within risk appetite
- Take ownership of and produce regular Credit Risk MI in order to review and monitor application quality, and effectiveness of loan acceptance criteria (Bad Rate analysis, Dynamic Delinquency and Static Pool/Vintage analysis)
- Use analytical and statistical techniques to identify emerging trends, and forecasts to provide insight into rule and profile performance to assist the Credit Risk manager with proposal and development of ruleset updates
- Thorough testing (UAT) of the application process to ensure risk strategy is implemented correctly in the decision engine
- Monitor and provide analysis of the credit risk models used in loan acquisition criteria (application scorecard, pricing model)
- Building upon the existing risk data structure used for modelling, validation and reporting Skills.
Experience & Qualifications
- Strong academic background in a highly numerate, scientific or computer science discipline
- At least two years’ experience of credit risk analytics preferably in secured lending
- A strong working knowledge of impairments / provisions within secured and unsecured lending. Experience of developing, validating, or monitoring Credit Models
- Experience of building and managing scorecards and familiarity with Risk Based Pricing Methodologies
- Experience of monitoring Decision Systems and/or implementing rule set logic into decision engines (e.g., Provenir, GDS Modellica, Strategy Manager, etc)
- Proficiency in data extraction and manipulation using SQL or R or Python to perform statistical analysis – this is hands-on role
- Analytical Mindset with a problem-solving initiative
- Change experience (system/strategy testing or creating new reports, models and code base from scratch)
- Excellent communication and presentation skills with the ability to express technical ideas to a non-technical audience
- Information sponge – ability to remember fine detail and high desire to learn
- Effective management of own time/stakeholders
For further enquiries, email timi@trimconsult.co.uk