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For Companies At a Glance
- Tasks: Join a dynamic team to enhance financial systems and improve data processing.
- Company: Be part of a fast-growing financial services firm revolutionising prime brokerage and financing.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and development.
- Why this job: Make a real impact on cutting-edge technology in finance while working with a talented team.
- Qualifications: BS degree in Computer Science or Mathematics; 5+ years in quantitative software development required.
- Other info: Contact George for more details and to apply!
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Exciting opportunity at one of the world's fastest growing financial services firms. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire a QD to help out with the non-risk work in quant/ds, i.e. entity master, pricing-service and position-service. This will allow the current team to have more time to spend on improvements to the platforms, rather than maintenance/onboardings.
Primary Accountabilities / Responsibilities
- Improve the core functionality of the systems to ensure they are performant and accurate
- Integrate new reference data source
- Setup ETLs for ingesting and process data
Knowledge, Skills & Abilities
- Ability to write production-grade (robust and maintainable) Python code
- Strong problem-solving skills and attention to detail.
- Excellent communication skills and ability to work collaboratively in a team environment.
Education & Experience
- BS degree (or above) in Computer Science, Mathematics, or related fields
- At least 5+ years of experience in quantitative software development at top-tier firm
- Worked with data pipelines
- Ideally worked with some streaming technology
- Built large-scale systems
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
If this sounds like you, or you'd like more information, please get in touch:
George Hutchinson-Binks
george.hutchinson-binks@oxfordknight.co.uk
(+44) 07885 545220
linkedin.com/in/george-hutchinson-binks-a62a69252
Quantitative Developer, Core Data- Global Prime Brokerage & Financing Platform employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer, Core Data- Global Prime Brokerage & Financing Platform
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python and data pipelines. Being able to discuss your experience with these tools in detail during an interview will show that you're well-prepared and knowledgeable.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who work in quantitative development. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which you can leverage during your application process.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills through practical examples. Think of scenarios where you've tackled complex issues in previous roles, particularly related to system performance or data integration, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Showcase your collaborative skills by discussing past experiences where you worked effectively within a team. Highlighting your ability to communicate and collaborate will resonate well with the company's emphasis on teamwork.
We think you need these skills to ace Quantitative Developer, Core Data- Global Prime Brokerage & Financing Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative software development, particularly with Python and data pipelines. Emphasise any relevant projects or roles that demonstrate your problem-solving skills and attention to detail.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that align with the job description, such as your work with streaming technology or large-scale systems, to show you are a perfect fit.
Showcase Relevant Skills: Clearly outline your technical skills in your application. Highlight your ability to write production-grade code and any experience you have with ETLs or integrating reference data sources, as these are key aspects of the role.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail, which is crucial for a role that requires strong problem-solving skills.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Python Skills
Since the role requires writing production-grade Python code, be prepared to discuss your experience with Python in detail. Bring examples of past projects where you developed robust and maintainable code, and be ready to solve coding challenges during the interview.
✨Demonstrate Problem-Solving Abilities
Highlight your strong problem-solving skills by discussing specific challenges you've faced in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how you approached and resolved complex issues.
✨Emphasise Team Collaboration
Excellent communication and teamwork are crucial for this position. Be prepared to share examples of how you've successfully collaborated with others in a team environment, particularly in high-pressure situations or when working on large-scale systems.
✨Familiarity with Data Pipelines and Streaming Technology
Since the job involves working with data pipelines and potentially streaming technology, brush up on your knowledge in these areas. Be ready to discuss any relevant experience you have, including the tools and technologies you've used to set up ETLs and process data.
