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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 while fostering creativity.
- Qualifications: Advanced Python skills and experience with cloud technologies and data modelling required.
- Other info: Opportunities for career growth and mentoring emerging talent in a collaborative environment.
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'll 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'll 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
If this sounds like you, or you would like more information, please contact: Alex Betteridge alex.betteridge@oxfordknight.co.uk (+44) 020 3475 5015 linkedin.com/in/alex-betteridge-08364453
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 high-frequency trading will give you an edge during discussions with our team.
✨Tip Number 2
Brush up on your Python skills, especially in relation to data-heavy applications. Being able to demonstrate your ability to build and optimise data pipelines will be crucial in showcasing your technical expertise.
✨Tip Number 3
Network with professionals in the finance and tech sectors. Engaging with others who work in data engineering or trading can provide insights into the role and may even lead to valuable connections within our firm.
✨Tip Number 4
Prepare to discuss your experience with cloud technologies, particularly in handling large datasets. Being able to articulate your past projects and how they relate to our needs will help you stand out as a candidate.
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 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Software Engineer position. Familiarise yourself with key terms like data modelling, Python programming, and cloud technologies to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with Python, data pipelines, and financial datasets. Provide specific examples of projects where you've designed scalable data architectures or optimised data processing to demonstrate your expertise.
Showcase Communication Skills: Since collaboration is key in this role, include examples that showcase your communication skills. Mention instances where you've worked with cross-functional teams or translated complex technical concepts into understandable terms for non-technical stakeholders.
Tailor Your Application: Customise your CV and cover letter for this specific job. Use keywords from the job description, such as 'high-throughput data model' and 'cloud storage', to ensure your application resonates with the hiring team and passes any automated screening processes.
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 massive datasets, be prepared to talk about your experience with cloud storage solutions like S3. Highlight any projects where you successfully managed large-scale data ingestion and processing, showcasing your ability to maintain performance standards.
✨Emphasise Collaboration Skills
Effective communication is key in this role, especially when collaborating with cross-functional teams. Prepare examples of how you've translated business requirements into technical solutions in previous roles, and be ready to discuss how you ensure consistency and precision in data handling.
