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- Tasks: Join a dynamic team to design and implement data processing software.
- Company: Aurum Search Limited is a leading multi-strategy hedge fund manager.
- Benefits: Enjoy a collaborative work environment with opportunities for growth and innovation.
- Why this job: Make a real impact on data strategies while working with top professionals in finance.
- Qualifications: 3+ years of Python experience, strong communication skills, and a passion for automation.
- Other info: Experience in finance is a bonus, but not essential; we value curiosity and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
Our client is a multi-strategy hedge fund manager dedicated to identifying and capitalising on market inefficiencies through a combination of discretionary and quantitative trading strategies. We are looking for a Python Developer to collaborate directly with Quantitative Researchers and Software Developers to design, implement, and deploy software to retrieve, process, and present data efficiently. You will be leveraging modern development principles to ensure efficient and elegant solutions for data. You'll drive cross-team initiatives and work closely with technologists, quantitative researchers, and investment professionals across all asset classes to achieve our client's objectives.
Job Responsibilities:
- Work with software developers and quantitative researchers to design and build efficient and scalable workflows for data processing and retrieval.
- Collaborate closely with colleagues in technology to ensure consistency across our client in order to maximize the re-use of core software components.
- Assist in building and maintaining automated solutions for our client's core data infrastructure, trade processing and reporting.
- Assume strong ownership of projects throughout their full production deployment life cycle.
- Improve documentation and procedures for end user, quant and development teams.
- Meaningfully contribute to our client's overall data strategy.
Requirements:
- 3+ years of experience with Python in a development role with a focus on data processing and analysis.
- Experience in and proficiency with database and cloud technologies (e.g. MySQL, Google, BigQuery, etc).
- Hands on individual that has the ability to work in a collaborative manner with other members of the firm.
- Strong written/verbal communication, problem-solving and organizational skills.
- Highly motivated and intellectually curious individual with a keen eye for automation.
- Ability to manage multiple projects and tasks.
- Well-organized, proactive, resourceful, able to handle a fast-paced environment, question the status quo, accountable and possesses an ownership mindset.
- Experience in the financial industry is a plus but not an absolute requirement.
Quantitative Developer employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and data processing. Understanding the current market inefficiencies and how they can be addressed through technology will give you an edge in discussions during interviews.
✨Tip Number 2
Network with professionals in the financial technology sector, especially those working in hedge funds. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the specific challenges they face.
✨Tip Number 3
Brush up on your Python skills, particularly in data processing and analysis. Consider working on personal projects or contributing to open-source projects that showcase your ability to handle data efficiently.
✨Tip Number 4
Prepare to discuss your experience with database and cloud technologies. Be ready to provide examples of how you've used these tools in past roles to improve data workflows or automate processes.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and data processing. Include specific projects or roles where you've collaborated with quantitative researchers or software developers, as this is crucial for the Quantitative Developer position.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your experience with database and cloud technologies, and how you can contribute to their data strategy. Be sure to showcase your problem-solving skills and ability to work in a fast-paced environment.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving automation or data infrastructure, be sure to include them in your application. This will demonstrate your hands-on experience and ability to manage multiple tasks effectively.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Clear communication is key, so ensure that your documents are well-organised and free of typos to make a strong impression.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Python Skills
Make sure to highlight your experience with Python, especially in data processing and analysis. Be prepared to discuss specific projects where you've implemented efficient solutions, as this will demonstrate your technical expertise.
✨Understand the Financial Context
While experience in the financial industry isn't mandatory, having a basic understanding of financial concepts can set you apart. Familiarise yourself with market inefficiencies and how quantitative strategies are applied in trading.
✨Emphasise Collaboration
Since the role involves working closely with quantitative researchers and software developers, be ready to discuss your collaborative experiences. Share examples of how you've successfully worked in teams to achieve common goals.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of scenarios where you've had to troubleshoot or optimise processes, and be ready to explain your thought process and the outcomes.
