Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to develop data-driven applications and enhance analytics tools.
- Company: Work with a leading systematic hedge fund in the heart of London.
- Benefits: Enjoy a full-time role with opportunities for growth and collaboration.
- Why this job: Make an impact by transforming complex data into strategic insights for decision-making.
- Qualifications: 3-5 years of experience in Python development and a computer science degree required.
- Other info: Ideal for those passionate about user-focused design and automation.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Our client, a leading systematic hedge fund, is seeking a talented Software Developer to join their Business Data Analytics team in London. This is a unique opportunity to work closely with senior stakeholders, transforming complex data into high-impact tools that drive strategic decision-making across the business. You will collaborate with cross-functional teams to transform both internal and external data into high-value insights, empowering senior stakeholders in their strategic decision-making. By connecting tools, you will help unlock richer analytics and enable further LLM-driven applications.
You will be pivotal in developing and enhancing data-driven applications, building and maintaining data pipelines, APIs, and backend queries for production tooling. You will identify and proactively implement automation opportunities to improve efficiency. The ideal candidate will have a strong background in Python development, especially with web frameworks, cloud infrastructure, and front-end technologies, with a passion for building clean, user-focused tools. The ideal candidate has a user-focused mindset with attention to design and performance and able to manage their own development pipeline.
Key Responsibilities
- Develop, enhance, and maintain internal data applications using Python Dash.
- Convert data prototypes into scalable, responsive, production-ready tools.
- Build and manage cloud-based data workflows, pipelines, and integrations on AWS.
- Design modular, reusable components and APIs for internal dashboards and tools.
- Identify and implement automation opportunities to streamline operations.
Qualifications
- 3-5 years of relevant experience and computer science degree.
- Strong proficiency in Python, especially with web frameworks like Dash or FastAPI.
- Experience with AWS fundamentals and cloud infrastructure basics.
- Knowledge of API design, SQL/NoSQL databases, and integration of multiple systems.
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Finance
We’re not able to display additional job postings or external links within this revised description. This content retains the core job details and requirements for evaluation purposes.
#J-18808-Ljbffr
Software Developer - Data Analytics Team employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Developer - Data Analytics Team
✨Tip Number 1
Familiarise yourself with Python Dash and FastAPI, as these are crucial for the role. Consider building a small project or contributing to an open-source one using these frameworks to showcase your skills.
✨Tip Number 2
Gain hands-on experience with AWS by setting up a simple cloud-based application. This will not only enhance your understanding of cloud infrastructure but also demonstrate your ability to manage data workflows.
✨Tip Number 3
Network with professionals in the finance and data analytics sectors. Attend meetups or webinars to connect with potential colleagues and learn more about the industry, which can give you insights into what the company values.
✨Tip Number 4
Prepare to discuss your approach to building user-focused tools. Think about how you can articulate your design philosophy and past experiences in creating clean, efficient applications that meet user needs.
We think you need these skills to ace Software Developer - Data Analytics Team
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, web frameworks like Dash or FastAPI, and any relevant cloud infrastructure knowledge. Use specific examples to demonstrate your skills in developing data applications and managing data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how your background aligns with the role. Mention your experience in transforming complex data into actionable insights and your ability to collaborate with cross-functional teams.
Showcase Relevant Projects: If you have worked on projects that involved building data-driven applications or automating processes, be sure to include these in your application. Describe your role, the technologies used, and the impact of your work.
Highlight Problem-Solving Skills: Emphasise your ability to identify automation opportunities and improve efficiency. Provide examples of challenges you've faced in previous roles and how you successfully addressed them using your technical skills.
How to prepare for a job interview at Selby Jennings
✨Showcase Your Python Skills
Make sure to highlight your proficiency in Python, especially with frameworks like Dash or FastAPI. Be prepared to discuss specific projects where you've used these technologies and how they contributed to the success of the project.
✨Demonstrate Your Understanding of Data Workflows
Since the role involves building cloud-based data workflows and pipelines, be ready to explain your experience with AWS and how you've managed data integrations in previous roles. Discuss any challenges you faced and how you overcame them.
✨Focus on User-Centric Design
The ideal candidate has a user-focused mindset, so be prepared to talk about how you approach designing tools and applications. Share examples of how you've prioritised user experience in your past work and the impact it had.
✨Prepare for Technical Questions
Expect technical questions related to API design, SQL/NoSQL databases, and automation opportunities. Brush up on these topics and think of examples where you've implemented solutions that improved efficiency in your previous roles.
