At a Glance
- Tasks: Manage and maintain decision strategies for innovative retail lending products.
- Company: Join Starling, a forward-thinking bank revolutionising the lending landscape.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant impact and career advancement.
- Why this job: Be at the forefront of product launches and shape the future of lending.
- Qualifications: Experience in decision systems and strong analytical skills required.
The predicted salary is between 40000 - 50000 £ per year.
Overview
This is a newly created role to support the growth of Starling's Retail Lending proposition through the management and maintenance of strategies within the selected Decision System. This role will be pivotal in the creation of a new decision systems function with Starling and with the opportunity to lead on new product launches.
Responsibilities
- Support the delivery of new retail lending products with the decision system
- Build, test, maintain and deploy credit strategies for new products
- Support the development of credit decisioning strategies for both retail and SME unsecured products
- Deliver BAU lending changes and support wider programme initiatives providing key Decision System subject matter expertise
- Drive best practice and help to create and manage system governance processes
- Build strong stakeholder relationships, both with internal and key external contacts
Decision Systems Analyst (IT) in City of Westminster employer: Starling Bank
Starling Bank is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. As a Decision Systems Analyst, you will play a crucial role in shaping the future of retail lending while benefiting from a culture that prioritises employee growth and development. With a focus on cutting-edge technology and a commitment to best practices, Starling provides unique opportunities for career advancement in a rapidly evolving sector.
StudySmarter Expert Advice🤫
We think this is how you could land Decision Systems Analyst (IT) in City of Westminster
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We think you need these skills to ace Decision Systems Analyst (IT) in City of Westminster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Starling Bank, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Starling Bank. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Starling Bank
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Starling Bank!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
