At a Glance
- Tasks: Design and develop high-quality Python applications for a leading hedge fund.
- Company: Join a top systematic equity hedge fund known for its innovative culture.
- Benefits: Excellent day rate, hybrid working, and potential for permanent roles.
- Other info: Exciting opportunity to work with cutting-edge technology and financial data.
- Why this job: Be part of a transformative team shaping the future of quantitative investing.
- Qualifications: 5+ years in Quantitative Development with strong Python skills required.
The predicted salary is between 80000 - 100000 £ per year.
London (Hybrid Working) | Initial Contract | Excellent Day Rate
We're partnering with one of the leading names in systematic equity investing to hire an experienced Quant Developer with a strong software engineering background.
This is an opportunity to join one of the industry's highest-performing systematic equity hedge funds, renowned for its sophisticated investment platform, collaborative culture and continued investment in technology.
The firm is undertaking a significant evolution of its quantitative research and engineering platform, making this a genuinely exciting time to join.
The preference is to hire on an initial contract basis , although the fund would also consider a permanent appointment for someone who is able to start within the next six weeks.
Working directly with portfolio managers, quantitative researchers and senior technology professionals, you'll play a key role in building the engineering infrastructure that underpins the firm's systematic investment process.
The Role
This is a front-office engineering role with a strong emphasis on software development, data engineering and quantitative infrastructure.
Key responsibilities include
- Designing and developing high-quality Python applications and services
- Building and maintaining scalable ETL processes and financial data pipelines
- Developing cloud-based quantitative research and production infrastructure
- Integrating and managing multiple financial data vendors
- Building research-ready datasets for quantitative researchers and portfolio managers
- Supporting the implementation of systematic equity signals into production
- Improving deployment, testing and engineering standards across the platform
- Working closely with investment professionals to deliver scalable research tools and infrastructure
- Required Experience
We're looking for experienced engineers who have previously worked within a buy-side asset manager or hedge fund .
You'll ideally have
- 5+ years' experience in Quantitative Development, Software Engineering or Data Engineering
- Excellent Python development skills
- A strong software engineering mindset and experience building production-grade systems
- Experience developing ETL processes and large-scale financial data pipelines
- Strong Azure experience
- Docker and Kubernetes
- Apache Airflow
- Git Hub and CI/CD (Git Hub Actions)
- Experience building cloud-native research or production platforms
- Experience working with market data, security master data and financial data vendors
- Previous experience within systematic or quantitative equities
- Experience working directly alongside portfolio managers or quantitative researchers
Experience with any of the following would be advantageous
- S&P Xpressfeed
- Snowflake
- Bloomberg
- MSCI Barra
- Databricks
- Quantitative equity research platforms
- Large Language Models (Open AI, Claude)
- Additional Information
- Initial contract opportunity
- Excellent day rate
- Hybrid working in London
- Permanent opportunities may also be considered for candidates able to start within six weeks
Applicants must already have the unrestricted right to work in the UK . Unfortunately, sponsorship is not available.
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Quant Developer Engineering - Leading Systematic Equity Hedge Fund in London employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Quant Developer Engineering - Leading Systematic Equity Hedge Fund in London
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We think you need these skills to ace Quant Developer Engineering - Leading Systematic Equity Hedge Fund in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at PVH (Tommy Hilfiger/Calvin Klein).
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How to prepare for a job interview at PVH (Tommy Hilfiger/Calvin Klein)
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If PVH (Tommy Hilfiger/Calvin Klein) uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
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