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For Companies At a Glance
- Tasks: Design and develop data pipelines for real-time market insights.
- Company: Dynamic trading firm at the forefront of financial technology.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Join a fast-paced environment and make an impact in the trading world.
- Qualifications: Proficient in Python and familiar with data engineering tools.
- Other info: Collaborate with traders and analysts to drive actionable insights.
The predicted salary is between 36000 - 60000 £ per year.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery of structured and unstructured data.
- Collaborate directly with traders, quantitative analysts, and portfolio managers to understand data needs and deliver actionable insights.
- Integrate and manage real-time market data feeds (e.g., Bloomberg, ICE, CME) and internal trading systems.
- Build and optimize data models for pricing, risk, and PnL analytics.
- Ensure high availability and performance of data infrastructure in a low-latency trading environment.
- Implement data quality checks, monitoring, and alerting systems.
- Work closely with DevOps and infrastructure teams to deploy solutions in cloud and on-prem environments.
Required Skills & Experience:
- Strong proficiency in Python, including libraries such as Pandas, NumPy, and PySpark.
- Experience with data engineering tools (e.g., Airflow, Kafka, SQL, Parquet).
- Solid understanding of commodities markets, trading workflows, and financial instruments.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Proven ability to work in fast-paced, high-pressure environments with direct exposure to the Front Office.
- Excellent communication skills and ability to translate technical solutions into business value.
Front Office Developer employer: Vertus Partners
Contact Detail:
Vertus Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Front Office Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in front office roles. Attend meetups or webinars related to data engineering and trading – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and data pipelines. This is your chance to demonstrate how you can deliver actionable insights and optimise data models.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of commodities markets and trading workflows. Be ready to discuss how you've integrated real-time market data feeds in past projects – this will show you're the right fit for the fast-paced environment.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Front Office Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and data engineering tools. We want to see how your skills align with the responsibilities of designing and maintaining data pipelines.
Showcase Your Collaboration Skills: Since you'll be working closely with traders and analysts, it's important to demonstrate your ability to communicate effectively. Share examples of how you've translated technical solutions into business value in your previous roles.
Highlight Relevant Experience: If you've worked in fast-paced environments or have experience with commodities markets, make that clear! We love candidates who can thrive under pressure and understand trading workflows.
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 don’t miss out on any updates from our team!
How to prepare for a job interview at Vertus Partners
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially with libraries like Pandas and NumPy. Be ready to discuss how you've used these tools in past projects, as well as any data engineering tools like Airflow or Kafka that you've worked with.
✨Understand the Business
Familiarise yourself with commodities markets and trading workflows. Being able to speak the language of traders and portfolio managers will show that you can bridge the gap between technical solutions and business needs.
✨Prepare for Real-Time Scenarios
Since this role involves managing real-time market data feeds, think about scenarios where you've had to ensure high availability and performance under pressure. Be ready to share specific examples of how you handled challenges in a low-latency environment.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. The interviewers will want to see that you can translate your technical expertise into actionable insights for the business, so clear communication is key!
