At a Glance
- Tasks: Build and refine quantitative models to drive better decisions using complex datasets.
- Company: Join a modern SaaS platform with a focus on innovation and AI.
- Benefits: Flexible remote work, competitive salary, and the chance to shape new analytical capabilities.
- Other info: Be part of a dynamic team and influence the development of a new product.
- Why this job: Make a significant impact by applying financial analysis techniques to exciting new challenges.
- Qualifications: Strong background in Mathematics, Statistics, or similar, with data analysis experience.
Quantitative Analyst / Quantitative Research Analyst
Hampshire, Remote Hybrid. 1-2 days a week onsite.
New Product Environment | Modern Saa S Platform | AI Invested
We're recruiting for a Quantitative Research Analyst, joining a new product team with the opportunity to build something from the ground up and make a significant impact across the business.
The product itself isn't financial, but the challenge has strong parallels with quantitative trading and financial modelling - working with complex datasets, building structured models and using data to drive better decisions.
What you'll be doing...
Building and refining quantitative models and decision-support frameworks Combining complex datasets to identify patterns, trends and opportunities Developing approaches to ranking, weighting and interpreting data Using Python, R, SQL and Excel for analysis and modelling Helping shape a completely new analytical capability within the business What we're looking for...
We're particularly interested in people currently working as a Quantitative Analyst, or a Data Analyst within quantitative trading / financial markets, who can bring that analytical approach into a new environment.
You'll need a strong academic background in a highly quantitative subject such as Mathematics, Statistics, Economics, Finance, Engineering or similar, alongside strong quantitative modelling and data analysis experience.
Why apply?
This is an opportunity to take the techniques and analytical thinking associated with financial quantitative analysis and apply them to a completely different product and problem space.
You'll be joining at the beginning of a new product capability, with significant scope to influence how it develops and the potential to make a major impact within the wider business.
Have what it takes?
Hit apply!
Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy
Quantitative Research Analyst in Portsmouth employer: Spectrum IT Recruitment
Join a leading international managed services provider that values your expertise and offers a fully remote position with the flexibility to maintain a healthy work-life balance. With a strong focus on employee growth, you will have the opportunity to take ownership of high-profile compliance projects while enjoying a supportive work culture that encourages continuous improvement and innovation. The monthly visits to the Milton Keynes office foster collaboration and connection, making this an attractive workplace for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Research Analyst in Portsmouth
✨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 Spectrum IT Recruitment!
✨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 Quantitative Research Analyst at Spectrum IT Recruitment.
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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 Spectrum IT Recruitment.
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When you find a suitable opening like Quantitative Research Analyst at Spectrum IT Recruitment, 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 Quantitative Research Analyst in Portsmouth
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 Spectrum IT Recruitment, 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 Spectrum IT Recruitment. 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 Spectrum IT Recruitment
✨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 Spectrum IT Recruitment!
✨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.
