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- Tasks: Join a top hedge fund as a Quant Research/Python Developer, tackling risk management and trading tech.
- Company: Work with a high-performing multi-billion dollar hedge fund known for its excellence.
- Benefits: Enjoy hybrid working with 3 days in the office and 2 days remote, plus competitive salary and bonuses.
- Why this job: Be part of a dynamic team, develop cutting-edge applications, and make a real impact in finance.
- Qualifications: 5+ years in a relevant role, strong Python skills, and experience in financial environments required.
- Other info: Diversity and inclusion are valued; all qualified candidates are encouraged to apply.
The predicted salary is between 43200 - 72000 £ per year.
Looking for a challenging role in the Hedge Fund industry? Robert Half is proud to present this role in the market! Hybrid working role with 3 days in the office and 2 days from home. A high-performing multi-billion dollar Hedge Fund is seeking a Quant Research/ Python Developer. This individual will work on the build-out of risk management processes and analysis, then transition into the front office trading technology quantitative development team.
The ideal candidate will have a strong background in quantitative finance, data analysis, and econometrics/statistics, as well as programming skills in Python and other object-oriented languages. Additionally, they should be familiar with financial datasets and hedge fund strategies, and able to communicate effectively with both technical and non-technical members of the business.
This individual will work alongside members of our Technology team to support and develop the applications that support the business:
- Provide second and third level support to globally deployed applications being used by the London business teams.
- Provide software development resources to the global Core Technology Development team.
- Work with other Technology teams to deliver solutions.
- Assist with the migration of legacy software to their future state applications.
Key Responsibilities
- Address application issues in a timely manner.
- Maintain and develop applications that support the business globally.
- Provide local application support and escalate as necessary to the global team.
- Ensure the applications and procedures in use are documented.
- Follow established workflows and procedures to ensure consistent delivery.
Required Background and Knowledge
- 5+ years of experience in a relevant role.
- Financial Environment (preferably hedge fund).
- Experience with 3rd party applications integration (API, FTP, Message queue, etc.).
- Prior experience developing in PYTHON Technologies.
- Cloud (AWS).
- Rapid Development (RAD).
- Messaging / Data Streaming solution (Kafka, RabbitMQ, etc.).
- Database Admin.
- Linux exposure.
- REST API.
This role offers a competitive base salary and a 50-100% bonus potential. Don't miss out on this opportunity to work with one of the best in the industry! If you're interested in this opportunity, submit your CV as soon as possible. Interviews will be arranged ASAP!
Quant Research/ Python Developer TOP HEDGE FUND! employer: Robert Half
Contact Detail:
Robert Half Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Research/ Python Developer TOP HEDGE FUND!
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and hedge fund strategies. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the hedge fund industry, especially those who work in quantitative roles. Attend relevant meetups or webinars to make connections that could lead to referrals.
✨Tip Number 3
Brush up on your Python skills by working on personal projects or contributing to open-source projects. This practical experience can be a great talking point in interviews and shows your commitment to continuous learning.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to data analysis and financial datasets. Websites like LeetCode or HackerRank can be useful for honing your problem-solving skills.
We think you need these skills to ace Quant Research/ Python Developer TOP HEDGE FUND!
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative finance, data analysis, and programming skills in Python. Emphasise any relevant projects or roles that align with the responsibilities mentioned in the job description.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for the hedge fund industry and your understanding of risk management processes. Mention specific technologies you have worked with, such as AWS or Kafka, to demonstrate your technical expertise.
Highlight Relevant Experience: In your application, clearly outline your experience with third-party application integration and any previous roles in a financial environment. Use quantifiable achievements to illustrate your impact in past positions.
Prepare for Technical Questions: Anticipate technical questions related to Python development and financial datasets during the interview process. Brush up on your knowledge of REST APIs and database administration to ensure you're well-prepared.
How to prepare for a job interview at Robert Half
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in Python and any other object-oriented languages during the interview. Be prepared to discuss specific projects or experiences where you applied these skills, especially in a financial context.
✨Understand the Hedge Fund Landscape
Familiarise yourself with hedge fund strategies and financial datasets. Being able to discuss current trends in the hedge fund industry will demonstrate your genuine interest and knowledge, which can set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice coding challenges or case studies related to risk management processes and application support to showcase your analytical thinking.
✨Communicate Effectively
Since the role requires interaction with both technical and non-technical team members, practice explaining complex concepts in simple terms. This will show your ability to bridge the gap between different teams and enhance collaboration.
