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- Tasks: Design and develop solutions for trade life cycle processing and large-scale data transformations.
- Company: Dynamic hedge fund focused on equity transaction data and innovative technology.
- Benefits: Competitive contract role with opportunities for professional growth in a fast-paced environment.
- Why this job: Join a cutting-edge team and make an impact in the finance tech space.
- Qualifications: 6+ years Python experience, strong SQL skills, and familiarity with Kafka and cloud platforms.
- Other info: Office-based role in London, 5 days a week, with excellent career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
Our Hedge Fund client is looking for a Python Developer/Engineer for a contract role. This team is responsible for the firm's equity transaction data platform, including trade life cycle event processing, enrichment, and PnL calculations. The role is ideal for an engineer who enjoys building robust, high-throughput services and data pipelines in a fast-paced, delivery-focused environment.
Principal Responsibilities
- Design and develop solutions for trade life cycle event processing, including corporate actions, expiries, and other post-trade events.
- Build and operate Python-based services that perform large-scale data transformations and calculations.
- Publish and distribute transaction and PnL data using Kafka, including AVRO-based schemas and streaming patterns.
Required Skills
- Minimum of 6+ years of professional Python development experience, ideally in capital markets or a fintech firm.
- Experience in finance: understanding of common financial asset classes; knowledge of equities corporate action processing, trade life cycle concepts, and/or P&L calculations is a strong plus.
- Experience with Kafka (or equivalent streaming/messaging platforms) and schema-based event publishing (e.g., AVRO).
- Strong experience performing large-scale data calculations in Python using libraries like pandas, polars, and NumPy.
- Experience building REST services using frameworks such as FastAPI and/or Flask.
- Strong SQL skills and experience working with relational databases in production environments.
- Hands-on experience with containerized deployments and modern infrastructure tooling (Docker, Kubernetes) and familiarity with cloud platforms.
- Understanding of modern SDLC practices (testing strategy, CI/CD, release management, observability, and operational ownership).
Office based, 5 days per week. Based in London. Contract role inside IR35.
Hedge Fund - Python Developer (Equities) - Trade life cycle - PnL - Kafka - Contract in London employer: Scope AT Limited
Contact Detail:
Scope AT Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hedge Fund - Python Developer (Equities) - Trade life cycle - PnL - Kafka - Contract in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to Python development and hedge funds. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to trade life cycle or PnL calculations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Kafka, data transformations, and REST services. Practise coding challenges that focus on large-scale data calculations to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to help you every step of the way, so take advantage of our resources and support!
We think you need these skills to ace Hedge Fund - Python Developer (Equities) - Trade life cycle - PnL - Kafka - Contract in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python development experience, especially in capital markets or fintech. We want to see how your skills align with the trade life cycle and PnL calculations mentioned in the job description.
Showcase Relevant Projects: Include any projects where you've built robust data pipelines or services using Python and Kafka. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your experience and skills are easy to spot. Avoid jargon unless it’s relevant to the role!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Scope AT Limited
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the libraries mentioned in the job description, like pandas and NumPy. Brush up on your experience with Kafka and how it integrates with data pipelines, as this will likely come up during technical discussions.
✨Understand the Trade Life Cycle
Familiarise yourself with the trade life cycle concepts and PnL calculations. Being able to discuss these topics confidently will show that you understand the financial context of the role, which is crucial for a position in a hedge fund.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve problems or design systems related to trade event processing. Practise articulating your thought process clearly, as interviewers will be looking for your problem-solving skills and how you approach complex scenarios.
✨Showcase Your Deployment Experience
Be ready to discuss your hands-on experience with containerized deployments and modern infrastructure tools like Docker and Kubernetes. Highlight any projects where you’ve implemented CI/CD practices, as this demonstrates your understanding of modern software development life cycles.