At a Glance
- Tasks: Design and maintain data models for banking systems while ensuring data integrity.
- Company: Join Ascendion, a dynamic team in the banking sector.
- Benefits: Enjoy a competitive salary and flexible remote work options.
- Other info: Opportunity for career growth in a collaborative environment.
- Why this job: Make a real impact in banking data management and collaborate with industry experts.
- Qualifications: 7+ years in data modelling, especially in banking, with strong analytical skills.
The predicted salary is between 60000 - 80000 £ per year.
We at Ascendion are seeking an experienced and highly skilled Data Modeller with strong domain expertise in banking to join our dynamic and collaborative team.
Key Responsibilities
- Design, develop, and maintain conceptual, logical, and physical data models to support banking systems, ensuring high standards of data integrity, consistency, and regulatory compliance.
- Perform in-depth data analysis across complex datasets to identify anomalies, discrepancies, and data quality issues, and recommend actionable remediation strategies.
- Collaborate closely with business stakeholders, data architects, and engineering teams to translate business requirements into scalable and efficient data models.
Required Skills Qualifications
- 7+ years of experience in data modelling, ideally within the banking or financial services sector.
- Strong understanding of banking data domains, including customer, transactional, risk, compliance, and regulatory reporting data.
- Proven expertise in data analysis techniques and tools, with a focus on identifying and resolving data quality issues.
- Proficiency in leading data modelling tools such as Erwin, PowerDesigner, or equivalent.
- Solid understanding of relational (RDBMS) and NoSQL databases (e.g., Oracle, MongoDB).
Fully Remote Data employer: Ascendion
At Ascendion, we pride ourselves on being an excellent employer, offering a vibrant work culture that fosters collaboration and innovation. Our team members enjoy the flexibility of a hybrid working model in Chester, UK, along with opportunities for professional growth and development in the banking sector. With a strong focus on employee well-being and a commitment to maintaining high standards of data integrity, we provide a rewarding environment for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Fully Remote Data
✨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 Ascendion!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Fully Remote Data at Ascendion.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ascendion.
✨Apply Directly through Our Website
When you find a suitable opening like Fully Remote Data at Ascendion, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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 Ascendion, 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 Ascendion. 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 Ascendion
✨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 Ascendion!
✨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.
