At a Glance
- Tasks: Develop a critical research and analytics platform using Python.
- Company: Leading financial services firm based in London.
- Benefits: Up to £1100 per day, hybrid working, and potential contract extensions.
- Other info: Initial 12-month contract with excellent career growth opportunities.
- Why this job: Join a dynamic team and make an impact in financial research.
- Qualifications: Strong Python skills and experience in quantitative analysis required.
The predicted salary is between 66000 - 77000 £ per year.
I am currently working with a London-based financial-services client who are actively seeking a Senior Python Developer to work on the development of a business-critical research and analytics platform.
What you'll need to succeed:
- Strong Python software engineering experience beyond exploratory or ad-hoc scripting
- Strong experience in Equity Factor Model building
- Hands-on experience working with notebooks as part of real-world research or analytical workflows
- Experience building systems that support data analysis, simulations, or computational research
- Good experience working in a quantitative role.
What you'll get in return:
- Up to £1100pd Umbrella
- Initial 12-month contract with extensions
- London-based hybrid working
What you need to do now:
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Senior Research Python Developer in London employer: Hays Technology
Join a dynamic technology team as an Application Engineer/Web Developer, where innovation meets collaboration in a fast-paced environment. Enjoy flexible working arrangements and an industry-leading benefits package, including a generous bonus and pension scheme, while contributing to the development of high-quality digital platforms. With ample opportunities for professional growth and a culture that promotes knowledge sharing and best practices, this role is perfect for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Python Developer in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Hays Technology before they're even advertised!
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We think you need these skills to ace Senior Research Python Developer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Hays Technology, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Hays Technology, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Hays Technology’s attention and show the tangible impact of your work.
How to prepare for a job interview at Hays Technology
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Hays Technology.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Hays Technology.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Hays Technology.
