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- Tasks: Join our team to engineer data solutions and build quant libraries in Python.
- Company: Caxton Associates is a global trading firm with a strong reputation in investment management.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and professional growth.
- Why this job: Be part of a collaborative team that drives innovation in finance and technology.
- Qualifications: 7+ years of experience in quantitative development and a degree in a quantitative field.
- Other info: Knowledge of financial instruments and web development skills are a plus.
The predicted salary is between 72000 - 108000 £ per year.
About Caxton: Caxton Associates, founded in 1983, is a global trading and investment firm with offices in London, New York, Monaco, Singapore and Dubai. Caxton Associates’ primary business is to manage client and proprietary capital through global macro hedge fund strategies. Assets are managed via a broad mandate to trade in a variety of global markets and instruments.
About the Role: Caxton seeks a Quantitative Developer to join the firm’s Quantitative Development & Data team (QDD). QDD is responsible for architecture and development of libraries, web services, dashboards, and databases that facilitate Portfolio Managers' alpha generation, strategy deployment, and risk management. The team has presence in both London and New York. They work closely with the Quantitative Analytics Group as well as Trading Staff.
Responsibilities:
- Engineer large timeseries and data solutions and ETLs (using SQL, no-SQL, C#, and Python) for market data, quant analytics and alpha generation
- Build and maintain quant libraries in Python.
- Architect and build scalable web services for applications and front office users
- Promote best coding practices within the firm
- Build front end tools for market monitoring, trade screening and risk management. Front end tools can be either web dashboards or Excel tools backed by robust libraries or web services.
Qualifications:
- 7+ years of relevant experience
- Bachelor's degree in a quantitative degree (Computer Science, Maths, engineering)
- Excellent quantitative reasoning and software design.
- Strong Python skills.
- Demonstrated experience with high-efficiency programming and multi-threading.
- Clear grasp of SQL and relational database fundamentals.
- Ability to multitask and produce high quality code.
- Strong verbal and written communication skills.
- Operates with the highest degree of ethics and integrity.
Nice to have:
- Knowledge of financial instruments & data: FX, Futures, Interest Rates derivatives, Options
- Proficiency in another programming language such as C#, Java or C++
- Web development skills
- Experience with AWS
Senior Quantitative Developer (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Developer (Basé à London)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SQL, Python, and C#. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the quantitative finance field. Attend industry meetups or webinars where you can connect with current employees at Caxton Associates or similar firms. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving data solutions and web services. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this demonstrates your problem-solving abilities.
✨Tip Number 4
Showcase your understanding of financial instruments relevant to the role. Even if you don't have direct experience, demonstrating knowledge of FX, Futures, and Options can highlight your enthusiasm for the industry and your willingness to learn.
We think you need these skills to ace Senior Quantitative Developer (Basé à London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative development, particularly with Python and SQL. Emphasise any projects or roles where you've engineered data solutions or built quant libraries.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the role at Caxton Associates. Mention specific skills that align with their needs, such as your experience with multi-threading or web service architecture.
Showcase Your Technical Skills: Include examples of your programming expertise, especially in Python and any other languages mentioned in the job description. If you have experience with AWS or financial instruments, make sure to highlight that too.
Proofread Your Application: Before submitting, carefully proofread your application for any errors. Clear communication is key, so ensure your writing is concise and professional, reflecting your strong verbal and written skills.
How to prepare for a job interview at Golden Bees
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any other programming languages you know. Bring examples of past projects where you've engineered data solutions or built quant libraries, as this will demonstrate your hands-on expertise.
✨Understand the Financial Context
Familiarise yourself with financial instruments like FX, Futures, and Options. Being able to discuss how your technical skills apply to these areas will show that you understand the business side of the role and can contribute effectively.
✨Communicate Clearly
Strong verbal and written communication skills are essential. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical team members like Portfolio Managers and Traders.
✨Demonstrate Best Practices
Be ready to talk about coding standards and best practices you've implemented in previous roles. This could include discussing your approach to multi-threading, code reviews, or how you ensure high-quality code in your projects.
