We are hiring experienced Quantitative Developers for our employer partner, a leading global investment management fund based in London, United Kingdom. As a Quantitative Developer, you will work closely with Quantitative Researchers, tackling various challenges that involve implementing new trading strategies and developing cutting-edge tools.
| Basic Details | |
|---|---|
| Experience | 1 - 2 Years |
| Location | Kuwait |
| Qualification | Mentioned Below |
| Benefits: | Mentioned Below |
| Posted | |
| Job Type | Full-Time |
| Posted by | Hamna (Senior HR) |
| last date to apply | apply within 15 days of posting |
This blog post will break down everything you need to know about the position, from the typical tasks to the qualifications and how to contact the employer.
Role Overview
In this position, you will:
- Collaborate with Quantitative Researchers to implement new trading strategies.
- Build new research frameworks and quant libraries.
- Prototype new data feeds and develop portfolio construction techniques.
- Create risk analysis tools tailored to investment strategies.
Note: This role is on-site with our employer partner in London, United Kingdom.
Requirements
Technical Skills:
- Expert knowledge in Python.
- Experience in signal research implementation.
- Relevant mathematical knowledge (statistics, asset pricing theory, optimization algorithms).
- Solid understanding of portfolio optimization and risk-leveraging workflows.
- Experience with algorithm engineering, trade automation, and order generation.
- Proficiency on Linux platforms and knowledge of various scripting languages.
- Strong knowledge of relevant database technologies (e.g., Oracle, MongoDB).
- Familiarity with open-source frameworks and development tools (e.g., NumPy, SciPy, Pandas, Pyramid, AngularJS, React).
- Understanding of various programming styles (OO, functional) and design patterns.
Personal Attributes:
- Strong academic record with a degree in a relevant field (Computer Science, Mathematics, Engineering, Physics) from a leading university.
- Craftsman-like approach to building software, valuing engineering excellence.
- Focused on delivering value to the business and improving processes continuously.
- Strong interpersonal skills, able to establish and maintain close working relationships with quantitative researchers, traders, and senior business people.
- Confident communicator, able to articulate points concisely and navigate conflicting views positively.
- Intellectually robust with an analytical approach to problem-solving.
- Self-organized with effective time management across multiple projects and competing demands.
- Demonstrable passion for technology (personal projects, open-source involvement).
How to Apply
To access opportunities with OLLMOO’s employer partners, please submit your CV . Once your online profile is complete, OLLMOO’s talent team will reach out with opportunities that match your profile.
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