Financial Data Quality Engineer in London

Financial Data Quality Engineer in London

London Full-Time 50000 - 65000 £ / year (est.) No working from home possible
Advanced Resource Managers

At a Glance

  • Tasks: Ensure data quality by designing validation frameworks and automating checks for financial datasets.
  • Company: Advanced Resource Managers, a leader in financial data solutions.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborate with researchers, traders, and engineers in an innovative environment.
  • Why this job: Join a dynamic team and make a real difference in financial data integrity.
  • Qualifications: Strong Python and SQL skills, plus experience with large financial datasets.

The predicted salary is between 50000 - 65000 £ per year.

Advanced Resource Managers is seeking a Data Validation Specialist in London to strengthen data quality across financial datasets, including market, reference, and pricing data. You will design and implement validation frameworks and automate data checks to ensure reliable outputs for front-office users and downstream systems.

The role requires strong Python and SQL experience, familiarity with large financial datasets, and the ability to collaborate with researchers, traders and engineers.

Financial Data Quality Engineer in London employer: Advanced Resource Managers

At Advanced Resource Managers, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our employees benefit from comprehensive training and development opportunities, ensuring personal and professional growth while working on high-profile projects in the vibrant locations of Cheltenham and Manchester. Join us to be part of a supportive team that values your contributions and encourages a healthy work-life balance.

Advanced Resource Managers

Contact Details:

Advanced Resource Managers Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Financial Data Quality Engineer in London

Get Involved in Data Science Meetups

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Apply Directly through Our Website

When you find a suitable opening like Financial Data Quality Engineer at Advanced Resource Managers, 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!

We think you need these skills to ace Financial Data Quality Engineer in London

Python
Problem-Solving Skills
Communication Skills
SQL
Attention to Detail
Automation
Data Engineering

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 Advanced Resource Managers, 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 Advanced Resource Managers. 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 Advanced Resource Managers

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 Advanced Resource Managers!

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.