At a Glance
- Tasks: Transform complex data into impactful tools for strategic decision-making.
- Company: Leading systematic hedge fund in London with a focus on innovation.
- Benefits: Competitive salary, full-time role, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on automation and efficiency.
- Why this job: Join a dynamic team and make a real difference with data-driven applications.
- Qualifications: 3-5 years experience in Python development and cloud infrastructure.
The predicted salary is between 45000 - 55000 £ per year.
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 is 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
Software Developer - Data Analytics Team in London employer: Selby Jennings
As an Investment Banking M&A Associate in the Industrials sector, you will thrive in a dynamic and collaborative environment that prioritises professional growth and development. Our firm offers comprehensive training, mentorship from experienced Directors and Managing Directors, and exposure to high-profile transactions that enhance your expertise in the industry. Located in a vibrant financial hub, we foster a culture of innovation and teamwork, ensuring that every employee feels valued and empowered to make a meaningful impact.
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We think you need these skills to ace Software Developer - Data Analytics Team in London
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!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨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.
