At a Glance
- Tasks: Analyse data and valuations on UK debt portfolios using SAS and collaborate with the Deal Team.
- Company: Join Lowell Financial Ltd, a leader in financial services with a hybrid working model.
- Benefits: Enjoy a discretionary annual bonus, flexible benefits, and 28 days of holiday.
- Other info: Work in a dynamic environment with opportunities for professional growth.
- Why this job: Make an impact by presenting insights to stakeholders and shaping robust financial models.
- Qualifications: Experience in data analysis and strong analytical skills are essential.
The predicted salary is between 29700 - 36300 £ per year.
Lowell Financial Ltd is seeking a Data Analyst (Pricing) based in Leeds with hybrid working. You will perform detailed data analysis and valuations on UK debt portfolios using SAS, collaborating with the Deal Team to shape robust models and recommendations. Present insights to stakeholders, including the Investment Committee, while ensuring governance and risk standards are met.
The role offers a discretionary annual bonus, flexible benefits, and on-site parking, along with a 28-day holiday.
Pricing Data Analyst – Hybrid (UK Debt Portfolios) in London employer: Lowell Financial Ltd
Lowell Financial Ltd is an exceptional employer located in the vibrant city of Leeds, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from a hybrid working model, competitive remuneration, and opportunities for professional growth through continuous learning and development. With a focus on data-driven decision-making, you will be part of a forward-thinking team that values your insights and contributions, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Data Analyst – Hybrid (UK Debt Portfolios) in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lowell Financial Ltd!
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We think you need these skills to ace Pricing Data Analyst – Hybrid (UK Debt Portfolios) in London
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 Lowell Financial Ltd, 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 Lowell Financial Ltd. 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 Lowell Financial Ltd
✨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!
✨Showcase Your Projects
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 Lowell Financial Ltd!
✨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.
