At a Glance
- Tasks: Design and shape data architecture for investment platforms, focusing on data models and governance.
- Company: Pharos Resource Partners, a leader in asset management and data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to innovation and excellence in data management.
- Why this job: Play a key role in transforming data strategies and making impactful decisions.
- Qualifications: Experience in data architecture and modelling, with strong analytical skills.
The predicted salary is between 72000 - 88000 £ per year.
Pharos Resource Partners is seeking an experienced Data Architect/Data Modeller to shape the enterprise data architecture for its investment platform.
You will design conceptual, logical, and physical models for instruments, positions, pricing, risk, and performance data.
You will define the data architecture strategy, establish standards and governance, and collaborate with engineering to implement pipelines and MDM solutions while ensuring regulatory and reporting needs are met.
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Data Architect: Asset Management & Data Modeling in London employer: Pharos Resource Partners
Pharos Resource Partners is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals passionate about AI in investment management. With a strong commitment to employee growth, we offer extensive training opportunities and a supportive environment that encourages creativity and the sharing of ideas. Located in a vibrant financial hub, our team enjoys not only competitive benefits but also the chance to work on transformative projects that shape the future of investing.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect: Asset Management & Data Modeling in London
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We think you need these skills to ace Data Architect: Asset Management & Data Modeling 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!
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Craft a Tailored Cover Letter:For a full-time role at Pharos Resource Partners, 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 Pharos Resource Partners. 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 Pharos Resource Partners
✨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
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✨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.
