Senior Credit Strategy Analyst
- As a Senior Analyst, you will be entrusted to lead on our most complex and highest impact projects.
- You will work in a team that covers a broad remit across lending strategy, credit policy, affordability, fraud, valuations, and pricing.
- Zopa offers a broad range of lending products, including unsecured personal loans (UPL), credit cards, secured loans for the purchase of a car and point-of-sale finance, which all pose different analytical challenges.
- You work with some of the best tech in the industry, such as powerful Python instances for data analysis and machine learning and Redshift for data warehousing.
- All our decisioning systems are built in-house, meaning that we have nearly unlimited flexibility in what we can implement.
- You work in a wider cross-functional product, credit, and data science team, so you will have the opportunity to work alongside, learn from and mentor some of the brightest minds and friendliest people in the industry!
- Optimising credit strategy and decisioning for one of our lending products, either through the deployment of a new risk scorecard understanding the risks involved or designing and implementing a change to credit policy.
- Using advanced statistical techniques to predict customer behavior or forecast future demand.
- Shaping and enhancing our credit policy, and working with the product and tech teams to deliver these changes.
- Working with open banking data or other novel datasets to find new ways of enhancing our credit strategy.
- Managing the pricing & commercials on our lending programme and making recommendations on our strategy to the Product Directors.
- Analysing the performance of our portfolio, identifying any areas of improvement, and recommending strategy changes based on these findings.
- Collaborating with our fraud team to stay updated on latest trends and exploring potential enhancements to our fraud strategy.
- Formulating strategies to improve our affordability policy and ensuring we continually deliver good customer outcomes.
- Building NPV & pricing optimization models to inform lending decisions while understanding their inherent limitations.
- You have strong experience doing credit risk analysis in a consumer lending environment.
- You have a strong ability in manipulating and analysing large datasets using SQL and/or Python.
- You are experienced in visualization and storytelling through data.
- You have a passion for translating numbers into business opportunities and delivering insights to drive decision-making.
- You are a structured and holistic problem-solver, and possess strong time management skills.
- You have an insatiable curiosity and a relentless drive to learn, improve, and share knowledge with others.
- You are able to work collaboratively with cross-functional teams, including tech, data science, finance and product.
- Subject to having the right to work in the country of choice
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