At a Glance
- Tasks: Support FX operations by building data pipelines and automating workflows on the trading floor.
- Company: Join a leading investment bank known for cutting-edge financial technology and innovation.
- Benefits: Enjoy hybrid working, standard hours, and fantastic cycle facilities.
- Why this job: Make a direct impact on critical systems while collaborating with front office teams in a dynamic environment.
- Qualifications: 5+ years of Python experience, strong pandas skills, and a self-starter mentality required.
- Other info: Work in a small, agile team with opportunities for contract extensions.
The predicted salary is between 48000 - 72000 £ per year.
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Location: London (Hybrid – 3 days in office)
Function: Supporting FX BAU operations
About the Role
Join a dynamic front office team at a leading investment bank, building cutting-edge data pipelines and analytics solutions. You\’ll be part of a critical platform migration, transitioning from legacy systems to a modern platform while delivering real-time data solutions across global markets.
This role offers the opportunity to work directly on the trading floor, collaborating closely with front office teams to automate complex data workflows that previously required weeks of manual spreadsheet work.
Key Responsibilities
- Triage and manage inbox requests from front office teams
- Deliver small enhancements and contribute to light project work
- Build and maintain robust Python data pipelines pulling from global data sources
- Support platform migration from legacy systems to modern KDB infrastructure
- Develop automated solutions to replace manual data processing workflows
- Provide BAU support for front office data requests and troubleshooting
- Create and maintain comprehensive unit tests and documentation
- Work with pandas dataframes for complex data manipulation and analysis
- 5+ years of professional Python development experience
- Strong pandas expertise – essential for dataframe manipulation and analysis
- Experience with pytest and automated testing frameworks
- Solid understanding of OOP principles and software engineering best practices
- Knowledge of modern Python development tools (pipenv, etc.)
- Self-starter mentality with ability to work independently
- Experience in fast-paced, multi-functional environments
- Strong communication and stakeholder engagement skills – key for hybrid working and cross-location collaboration
- Strong attention to detail and problem-solving skills
Highly Desirable
- Previous front office or buy-side experience
- Understanding of trade lifecycles and financial workflows
- SQL and data modelling experience
- Knowledge of FX or Fixed Income asset classes
- Experience supporting business users and managing requests
- Small, agile team of 6 developers
- Collaborative pair programming approach
- Direct access to front office teams on the trading floor
- Modern office facilities with excellent transport links (near Bank of England)
What We Offer
- No on-call or overtime requirements
- Standard business hours (8:30 AM – 5:00 PM)
- Opportunity to work with cutting-edge financial technology
- Direct impact on business-critical systems
- Potential for contract extensions and additional opportunities
- Hybrid working arrangement
- Fantastic cycle facilities available
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Contract
Job function
-
Job function
Information Technology and Finance
-
Industries
Investment Banking
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Python Support Developer (Front Office) employer: Caspian One
Contact Detail:
Caspian One Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Support Developer (Front Office)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as KDB and pandas. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during discussions.
✨Tip Number 2
Network with professionals in the investment banking sector, especially those who work in front office roles. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with automated testing frameworks like pytest. Be ready to share examples of how you've implemented testing in your previous projects, as this is a key requirement for the role.
✨Tip Number 4
Brush up on your understanding of trade lifecycles and financial workflows. Being able to speak knowledgeably about these topics will demonstrate your commitment to the role and your ability to contribute effectively from day one.
We think you need these skills to ace Python Support Developer (Front Office)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5+ years of Python development experience and strong pandas expertise. Include specific examples of how you've built data pipelines or automated workflows, as these are key responsibilities for the role.
Craft a Compelling Cover Letter: In your cover letter, emphasise your self-starter mentality and ability to work independently in fast-paced environments. Mention any previous front office or buy-side experience, as well as your understanding of trade lifecycles and financial workflows.
Showcase Relevant Skills: Clearly outline your knowledge of modern Python development tools and automated testing frameworks like pytest. Highlight your problem-solving skills and attention to detail, as these are crucial for the role.
Prepare for Technical Questions: Be ready to discuss your experience with pandas dataframes and complex data manipulation. Prepare examples of past projects where you contributed to platform migrations or developed automated solutions, as these will likely come up during interviews.
How to prepare for a job interview at Caspian One
✨Showcase Your Python Expertise
Make sure to highlight your 5+ years of professional Python development experience during the interview. Be prepared to discuss specific projects where you've built and maintained robust data pipelines, especially using pandas for data manipulation.
✨Demonstrate Problem-Solving Skills
Since the role involves automating complex data workflows, be ready to share examples of how you've tackled similar challenges in the past. Discuss your approach to troubleshooting and how you’ve supported business users with their requests.
✨Familiarise Yourself with Financial Workflows
Understanding trade lifecycles and financial workflows is highly desirable for this position. Brush up on your knowledge of FX or Fixed Income asset classes, as this will help you engage more effectively with the front office teams.
✨Prepare for Collaborative Scenarios
This role requires strong communication and stakeholder engagement skills. Think of examples where you've worked in a fast-paced, multi-functional environment, and be ready to discuss how you can contribute to a collaborative pair programming approach.