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- Tasks: Join a dynamic team to develop and enhance quantitative models for credit trading.
- Company: Work at a top-tier investment bank with a rapidly expanding automated market making desk.
- Benefits: Competitive salary of £125k - £150k plus bonuses, with opportunities for growth.
- Why this job: Be at the forefront of analytics and machine learning in finance, impacting client services.
- Qualifications: 5+ years of Python experience; Masters/PhD in STEM; strong programming and problem-solving skills.
- Other info: Ideal for those looking to make a significant impact in a fast-paced environment.
The predicted salary is between 100000 - 140000 £ per year.
Quantitative Developer – Credit Trading
Title/Level: Associate to Vice President
Headcount: 2
Location: London
Compensation: £125k – £150k + Bonus
We are leading the search for two Associate to VP level Quantitative Developers to join a rapidly expanding automated market making desk at a tier 1 investment bank. This is a fantastic opportunity to play a pivotal role in the development of analytics and processes which enhance the way they serve their clients.
Responsibilities:
- Develop, implement, and enhance quantitative models for the credit trading business, utilizing a powerful blend of data-driven insights, traditional statistical methods, and cutting-edge machine learning techniques.
- Design and steer the evolution of the codebase, collaborating seamlessly with cross-functional teams to drive scalability and maximize impact across the organization.
- Clearly communicate and demonstrate complex quantitative models and their calculations to stakeholders across trading, risk, and IT teams.
- Provide support for existing models, and contribute to the continuous improvement and evolution of the systems.
Experience and Requirements:
- 5+ years of experience writing production level python ideally within a global investment bank but also open to senior software engineers technology companies.
- Masters/ PhD degree in a STEM based subject.
- Strong programming skills in Python; proficiency in additional languages such as KDB+/q, C++ or JavaScript is a plus.
- Experience building visualisation tools using Angular or React.
- Strong problem-solving abilities and a deep understanding of pricing models and quantitative techniques.
If this would be something of interest to you or you would be interested in finding out more, please contact me at
Senior Quantitative Analyst employer: GCS Quant
Contact Detail:
GCS Quant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Analyst
✨Tip Number 1
Make sure to showcase your experience with Python prominently. Since the role requires strong programming skills, highlight any projects or contributions you've made that demonstrate your proficiency in writing production-level code.
✨Tip Number 2
Familiarize yourself with the latest trends in quantitative modeling and machine learning techniques. Being able to discuss recent advancements or tools you've used can set you apart during discussions with our team.
✨Tip Number 3
Prepare to discuss your experience with cross-functional collaboration. This role emphasizes teamwork, so be ready to share examples of how you've successfully worked with different teams in the past.
✨Tip Number 4
If you have experience with visualization tools like Angular or React, make sure to mention it. This could be a significant advantage, as the role involves building tools that enhance data presentation.
We think you need these skills to ace Senior Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative analysis and programming, especially in Python. Include specific projects or roles that demonstrate your skills in developing quantitative models and working within a financial context.
Craft a Strong Cover Letter: Write a cover letter that clearly articulates your interest in the role and how your background aligns with the responsibilities outlined in the job description. Mention your experience with machine learning techniques and any relevant tools you've used.
Showcase Technical Skills: In your application, emphasize your technical skills, particularly in Python and any additional languages like KDB+/q or C++. Provide examples of how you've applied these skills in previous roles, especially in a trading or financial environment.
Prepare for Technical Questions: Be ready to discuss your quantitative models and the methodologies you used to develop them. Prepare to explain complex concepts in a way that is understandable to stakeholders from different backgrounds, as this will likely be a focus during interviews.
How to prepare for a job interview at GCS Quant
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any other programming languages you know. Highlight specific projects where you've implemented quantitative models or built visualization tools, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research the credit trading business and understand how quantitative analysis impacts trading strategies. Being able to articulate how your work can enhance client service will set you apart from other candidates.
✨Communicate Complex Ideas Clearly
Practice explaining complex quantitative models in simple terms. You may be asked to present your thought process to stakeholders from various teams, so clarity and effective communication are key.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Be ready to walk through your thought process on how you would approach a specific quantitative challenge, showcasing your analytical skills.
