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For Companies At a Glance
- Tasks: Join our team to develop cutting-edge data solutions and tools for market analysis.
- Company: Caxton Associates is a global trading firm with a strong reputation in investment management.
- Benefits: Enjoy competitive pay, flexible working options, and a dynamic work environment.
- 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: Opportunity to work in vibrant locations like London and New York.
The predicted salary is between 48000 - 72000 £ 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 employer: Caxton Associates
Contact Detail:
Caxton Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Developer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SQL, Python, and C#. Consider building a small project or contributing to open-source projects that showcase your skills in these areas. This hands-on experience will not only enhance your knowledge but also give you concrete examples to discuss during interviews.
✨Tip Number 2
Network with professionals in the quantitative finance field, especially those who work at Caxton or similar firms. Attend industry meetups, webinars, or conferences where you can connect with potential colleagues. A referral from someone within the company can significantly boost your chances of landing an interview.
✨Tip Number 3
Stay updated on the latest trends and developments in quantitative finance and programming. Follow relevant blogs, podcasts, and forums to gain insights into the industry. Being knowledgeable about current events and innovations can help you stand out during discussions with interviewers.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions that are commonly asked in quantitative developer roles. Websites like LeetCode or HackerRank can be great resources. Additionally, be ready to explain your thought process clearly, as communication is key in collaborative environments like Caxton.
We think you need these skills to ace Senior Quantitative Developer
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 Strong Cover Letter: In your cover letter, explain why you're interested in the Senior Quantitative Developer role at Caxton Associates. Mention specific skills that align with the job description, such as your experience with multi-threading and high-efficiency programming.
Showcase Your Projects: If you have worked on relevant projects, consider including a portfolio or a brief description of these projects in your application. Highlight any tools or technologies used, especially those mentioned in the job description like Python, SQL, or web services.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a role that requires strong coding practices.
How to prepare for a job interview at Caxton Associates
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any other relevant programming languages. 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.
✨Demonstrate Problem-Solving Abilities
Prepare for technical questions that assess your quantitative reasoning and software design skills. Think through potential scenarios you might face in the role and how you would approach solving them, showcasing your analytical mindset.
✨Communicate Clearly and Effectively
Strong verbal and written communication skills are essential. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with both technical and non-technical team members.
