Senior Python Developer (Data)

Griffin Fire
London
2 months ago
Applications closed

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Senior Python Developer

Quantitative Python Developer - Fixed Income (Basé à London)

Quantitative Python Developer - Fixed Income (Basé à London)

Quantitative Developer (Python) - Hybrid Working - £80,000 - £250,000 Base (+ Bonus)

Quantitative Developer C+/ Python - London- World-Leading Hedge Fund | London, UK (Basé à London)

Quantitative Developer

Over the past 25 years, With Intelligence has evolved from a traditional financial publisher into a dynamic, product-led fintech company. Our mission is to empower investors and managers worldwide by connecting them to the people and data they need to raise and allocate assets efficiently.

We have recently secured a new round of funding from a prominent technology investor. This investment will drive our committed plan to elevate our product into a pioneering, market-leading platform.

We are rapidly expanding our focus on data, both internally and within our products and services. We are now looking for more help in this area to keep up with the growing demands of a dynamic, data-driven organisation. We need someone that wants to get stuck in and do stuff! The role requires knowledge and understanding of some data and technical concepts and tools, but we do not expect candidates to have a lot of professional experience in all these areas. This role will enable you to get hands-on experience in multiple areas, making it an amazing opportunity to learn very quickly.

Responsibilities:

  • Design and develop robust, scalable data pipelines using Python and related technologies.
  • Implement data integration solutions to collect, process, and store structured and unstructured data from diverse sources.
  • Collaborate with data scientists and analysts to implement data-driven solutions and algorithms.
  • Optimize performance and efficiency of data processing and storage solutions.
  • Ensure data quality and integrity throughout the data lifecycle.
  • Maintain and enhance existing data infrastructure and tools.

Minimum Requirements:

  • Proficiency in Python programming with a focus on data manipulation, processing, and analysis.
  • Experience with data modeling, ETL processes, and working with large-scale datasets.
  • Familiarity with database systems (e.g., SQL, NoSQL) and data warehousing concepts.
  • Strong understanding of data structures, algorithms, and software engineering principles.
  • Experience with infrastructure as code tooling (e.g. Terraform)
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.

Benefits:

  • 24 days annual leave rising to 29 days
  • Enhanced parental leave
  • Medicash (Health Cash Plans)
  • Wellness Days
  • Flexible Fridays (Opportunity to finish early)
  • Birthday day off
  • Employee assistance program
  • Travel loan scheme
  • Charity days
  • Breakfast provided
  • Social Events throughout the year
  • Hybrid Working

Our Company:

With Intelligence is based at One London Wall, London EC2Y 5EA. We offer amazing benefits, free breakfast daily, and drinks provided all day, every day. We actively encourage social networks that oversee activities from sports, book reading to rock climbing, that you are free to join.

As part of our company, you will enjoy the benefits of an open plan office and working with a social and energetic team. With Intelligence provides exclusive editorial, research, data, and events for senior executives within the asset management industry. These include hedge funds, private credit, private equity, real estate, and traditional asset management, and our editorial brands are seen as market leaders in providing asset manager sales and IR execs with the actionable information they require to help them raise and retain assets. To maintain and grow our position in the market we need to continue to hire highly motivated, thoughtful individuals to ensure our subscribers are getting the exclusive intelligence they need first, and most comprehensively, through our range of services. If you are interested so far in what you have read, please apply; we look forward to hearing from you.

We are an Equal Opportunity Employer. Our policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, colour, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable law.

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