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For Companies At a Glance
- Tasks: Join a dynamic team to design and implement high-performance data models for financial instruments.
- Company: A top-tier global trading firm known for innovation and excellence in the finance sector.
- Benefits: Enjoy market-leading compensation, hybrid work options, and extensive benefits.
- Why this job: Tackle challenging problems at the intersection of finance and technology in a creative environment.
- Qualifications: Advanced Python skills and experience with data modelling and cloud technologies required.
- Other info: Opportunities for career growth and mentoring emerging talent.
The predicted salary is between 43200 - 72000 £ per year.
A top-tier global trading firm is seeking a skilled Data Software Engineer to join its London-based Global Data Engineering team. In this role, you will architect and implement a high-performance framework for modelling financial instruments, working with a complex ecosystem of financial and alternative datasets to drive strategic decision-making in low- to high-frequency trading.
Role Overview
- As a key contributor to the data engineering team, you will tackle some of the most challenging problems at the intersection of financial data and technology, including:
- Designing and deploying a scalable, high-throughput data model to unify financial instrument identifiers across vendors, markets, and timeframes.
- Building and optimizing data pipelines for global data ingestion, processing, and validation with Python.
- Leveraging cloud technologies (e.g. S3) to handle massive datasets while maintaining performance standards.
- Collaborating with cross-functional teams worldwide to align data solutions with trading objectives and technical requirements, ensuring consistency and precision in data handling.
Your Skill Set
- Advanced programming skills in Python, with an emphasis on performance and efficiency in data-heavy applications.
- Strong system design and data modelling expertise, ideally with financial instruments, allowing you to build robust, scalable data architectures.
- Knowledge of cloud storage and deployment, with experience handling large datasets at a global scale.
- Excellent communication skills for effective collaboration with engineering and trading teams, translating business requirements into technical solutions.
What’s On Offer
- Market Leading Compensation: Bonus guarantee, sign on + extensive benefits.
- Innovative Environment: Work in a team that values creativity, experimentation, and technical excellence.
- Career Growth: Opportunities to lead technical initiatives and mentor emerging talent.
- Work-Life Balance: Hybrid working and a range of flexibility initiatives to support your well-being.
Contact
If this sounds like you, or you would like more information, please contact: Alex Betteridge (+44) 020 3475 5015 linkedin.com/in/alex-betteridge-08364453
Data Software Engineer - London-based hedge fund- Top-Tier Global Trading Firm employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Software Engineer - London-based hedge fund- Top-Tier Global Trading Firm
✨Tip Number 1
Familiarise yourself with the latest trends in financial data engineering. Understanding how financial instruments are modelled and the challenges faced in this area will give you an edge during discussions with the hiring team.
✨Tip Number 2
Brush up on your Python skills, especially in relation to data-heavy applications. Be prepared to discuss specific projects where you've optimised data pipelines or improved performance, as this will showcase your practical experience.
✨Tip Number 3
Gain a solid understanding of cloud technologies, particularly S3, as they are crucial for handling large datasets. Being able to articulate how you've used these technologies in past roles will demonstrate your readiness for the position.
✨Tip Number 4
Prepare to discuss your experience collaborating with cross-functional teams. Highlight instances where you've successfully translated business requirements into technical solutions, as effective communication is key in this role.
We think you need these skills to ace Data Software Engineer - London-based hedge fund- Top-Tier Global Trading Firm
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced programming skills in Python and any relevant experience with financial instruments. Use specific examples to demonstrate your expertise in data modelling and system design.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the job requirements, particularly your experience with cloud technologies and data pipelines.
Showcase Relevant Projects: If you have worked on projects involving large datasets or financial data engineering, include these in your application. Describe your role, the technologies used, and the impact of your work.
Prepare for Technical Questions: Anticipate technical questions related to data architecture and Python programming. Be ready to discuss your problem-solving approach and how you would tackle challenges in data handling and processing.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Python Skills
Since advanced programming skills in Python are crucial for this role, be prepared to discuss your experience with data-heavy applications. Bring examples of projects where you optimised performance and efficiency, and be ready to solve coding challenges during the interview.
✨Understand Financial Data Models
Familiarise yourself with financial instruments and data modelling concepts. Be ready to explain how you would design scalable data architectures and unify financial instrument identifiers across various vendors and markets. This will demonstrate your expertise and understanding of the industry.
✨Discuss Cloud Technologies
As cloud technologies play a significant role in handling large datasets, be prepared to talk about your experience with cloud storage solutions like S3. Highlight any projects where you successfully managed data ingestion and processing at scale, showcasing your ability to maintain performance standards.
✨Emphasise Collaboration Skills
Effective communication is key in this role, especially when working with cross-functional teams. Prepare examples of how you've translated business requirements into technical solutions in previous roles. This will show your ability to align data solutions with trading objectives and technical needs.
