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- Tasks: Join our team to engineer data solutions and build quant libraries in Python.
- Company: Caxton Associates is a leading investment firm with a strong focus on quantitative strategies.
- Benefits: Enjoy competitive pay, flexible working options, and a collaborative environment.
- Why this job: Be part of a dynamic team that drives innovation in finance and technology.
- Qualifications: 7+ years experience in quantitative development and strong Python skills required.
- Other info: Opportunity to work in both London and New York, enhancing your global exposure.
The predicted salary is between 48000 - 72000 £ per year.
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.
Requirements:
- 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 Quant Developer - Caxton Associates employer: Caxton Associates
Contact Detail:
Caxton Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Developer - Caxton Associates
✨Tip Number 1
Network with professionals in the finance and quantitative development sectors. Attend industry meetups, webinars, or conferences where you can connect with current employees at Caxton Associates or similar firms. This can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Brush up on your Python skills, especially in the context of quantitative finance. Consider working on personal projects or contributing to open-source projects that involve building quant libraries or data solutions. This hands-on experience will make you stand out during interviews.
✨Tip Number 3
Familiarise yourself with the latest trends in financial instruments and market data. Understanding FX, Futures, and Options will not only help you in interviews but also demonstrate your genuine interest in the role and the industry.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on multi-threading and high-efficiency programming. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and get comfortable with the types of problems you might face.
We think you need these skills to ace Senior Quant Developer - Caxton Associates
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative development, particularly with Python, SQL, and any other programming languages mentioned in the job description. Emphasise your achievements and projects that align with the responsibilities of the role.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses why you are a good fit for the Senior Quant Developer position at Caxton Associates. Mention your experience with data solutions, web services, and your understanding of financial instruments to demonstrate your suitability for the role.
Showcase Your Technical Skills: In your application, provide examples of your technical skills, especially in Python and SQL. If possible, include links to any relevant projects or code repositories that showcase your ability to engineer large timeseries and data solutions.
Highlight Communication Skills: Since strong verbal and written communication skills are essential for this role, ensure your application reflects your ability to communicate complex ideas clearly. You might want to include examples of how you've successfully collaborated with teams or presented technical information in the past.
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 such as 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 problem-solving skills. You might be asked to solve coding challenges or explain how you would approach a specific data engineering task, so practice articulating your thought process clearly.
✨Communicate Effectively
Strong verbal and written communication skills are essential. Be ready to explain complex technical concepts in simple terms, especially since you'll be working closely with Portfolio Managers and Trading Staff who may not have a technical background.
