At a Glance
- Tasks: Review and validate reports to ensure accuracy and reliability of AI-driven outputs.
- Company: Fast-growing RegTech company using AI to solve real-world problems.
- Benefits: Fully remote work, collaborative culture, and opportunity for immediate impact.
- Other info: Work directly with experienced leaders in a low-ego environment.
- Why this job: Join a dynamic team and help shape the future of technology with your analytical skills.
- Qualifications: Strong analytical thinking, attention to detail, and excellent written communication skills.
The predicted salary is between 40000 - 50000 £ per year.
We're partnering with a fast-growing Reg Tech company that's using AI to solve complex real-world problems.
As the business continues to grow, they're looking for a highly analytical individual to join their team in a unique role focused on reviewing, validating and improving the quality of the platform's output.
This isn't a software engineering or traditional QA position.
Instead, you'll act as the final layer of quality control - reviewing reports, checking evidence, validating information and ensuring the platform delivers accurate, reliable results.
If you're naturally curious, enjoy investigating information, and get genuine satisfaction from spotting details others miss, this could be an excellent opportunity.
What You'll Be Doing
- Review detailed reports to ensure findings are accurate, consistent and supported by source material.
- Verify facts, dates, organisations and other key information.
- Identify inconsistencies, inaccuracies or gaps in reports and provide clear, actionable feedback.
- Review structured data, search results and other intermediate outputs to ensure information is accurate before reaching customers.
- Test results of new product features from an end-user perspective and confirm they perform as expected.
- Work closely with Product and Engineering teams to improve quality and help shape review standards as the product evolves.
About You
We're interested in people who enjoy working with information and have exceptional attention to detail.
You don't need a software testing background - strong analytical thinking and the ability to assess information critically are much more important.
You may have experience in areas such as
- Research
- Due Diligence
- Financial Crime
- Compliance
- KYC / AML
- Investigations
- Law
- Journalism
- Editing
- Intelligence
- Risk
- Data Analysis
You'll likely have
- Excellent written communication skills.
- Strong critical thinking and problem-solving ability.
- Experience reviewing detailed documents or structured information.
- A naturally questioning mindset - you don't accept things at face value.
- The ability to explain exactly what's wrong and why.
Why Apply?
- Join a fast-growing technology business at an exciting stage of growth.
- Work directly with an experienced leadership team in a collaborative, low-ego environment.
- Fully remote working.
- Genuine opportunity to make an immediate impact.
- Work on technology helping organisations make better, more informed decisions using AI.
If you're someone who enjoys investigating information, questioning assumptions and producing work of the highest quality, we'd love to hear from you.
Research & Quality Analyst in England employer: Needl
Join a dynamic RegTech company that champions innovation and quality in a fully remote work environment. As a Research & Quality Analyst, you'll thrive in a collaborative culture that values curiosity and attention to detail, while having the opportunity to make a significant impact on the platform's output. With a focus on employee growth and development, this role offers a unique chance to work alongside experienced leaders and contribute to cutting-edge AI technology that empowers organisations to make informed decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Research & Quality Analyst in England
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We think you need these skills to ace Research & Quality Analyst in England
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 Needl, 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 Needl. 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 Needl
✨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 Needl!
✨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.
