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- Tasks: Join our team to develop and implement quantitative models for equity derivatives.
- Company: LA International is a leading global IT consultancy with award-winning recruitment services.
- Benefits: Enjoy hybrid working, competitive rates, and opportunities for professional development.
- Why this job: Make a real impact in Capital Markets while gaining hands-on experience with cutting-edge technology.
- Qualifications: Masters or PhD in Mathematics/Computer Science; strong skills in C++ and Python required.
- Other info: This role offers a chance to work on critical projects with a supportive team.
The predicted salary is between 50000 - 70000 £ per year.
6 Month contract initially
Based: Hybrid/London - Max 2 days p/w onsite
Rate: Market rates (via Umbrella company)
We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a great opportunity for a number of Quant Analysts on a great program of work. This role provides an excellent opportunity to work on critical projects in the Capital Markets space, gain experience working with Front End teams and gain on-job learning of new technology & tools to deliver work.
The successful candidate will be a member of The clients QA Equity & Hybrid Products team, which is part of the Global Quantitative Analytics group (QA) and is responsible for research, development and implementation of quantitative models for the equity derivatives business. It covers equity flow products, equity structured & hybrid products, quantitative index and strategies business.
Key Responsibilities:- Documentation, Testing and improvements of an internal risk model, which is owned by The QA Equity & Hybrid Products team and feeds the Credit Valuation Adjustment (CVA) for products sensitive to future implied volatility dynamics (e.g. Corridor Variance Swaps).
- Liaise with Front Office, Technology and Model Validation teams, to deploy the risk model to production.
- Ideally possess a Masters or PhD in Mathematics/Computer Science or related field.
- Mathematically minded (knowledge of financial mathematics, ability to program numerical algorithms in C++).
- Experience in Front Office & Derivatives modelling.
- Theoretical knowledge of financial engineering/structuring and financial product development.
- Strong analytical and numerical skills.
- Good Python programming skills.
- Strong C++ programming skills (ideally worked in a C++ shared library).
- Able to explain complex ideas in a clear and coherent manner to colleagues/traders/sales/management both oral, written or in presentation.
- Integrity, desire to have correct and robust mathematical models and implementation.
This is an excellent opportunity on a great project of work. If you are looking for your next exciting opportunity, apply now for your CV to reach me directly, we will respond as soon as possible.
Quant Analyst employer: LA International Computer Consultants Ltd
Contact Detail:
LA International Computer Consultants Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative analysis and capital markets. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the industry, especially those working in quantitative roles. Attend relevant meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 3
Brush up on your programming skills, particularly in C++ and Python. Consider working on personal projects or contributing to open-source projects to demonstrate your coding abilities.
✨Tip Number 4
Prepare to discuss complex mathematical concepts and models clearly and concisely. Practising explaining these ideas to friends or family can help you articulate your thoughts during interviews.
We think you need these skills to ace Quant Analyst
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills. Tailor your application to highlight your relevant experience in quantitative analysis, programming, and financial mathematics.
Highlight Relevant Experience: In your CV and cover letter, emphasise any previous roles or projects that align with the responsibilities of a Quant Analyst. Mention specific technologies, tools, and methodologies you have used, particularly in C++ and Python.
Showcase Your Skills: Clearly outline your analytical and numerical skills in your application. Provide examples of how you've successfully implemented quantitative models or worked on risk management projects in the past.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarises your qualifications but also expresses your enthusiasm for the role and the company. Make sure to convey your understanding of the Capital Markets space and your desire to contribute to the team.
How to prepare for a job interview at LA International Computer Consultants Ltd
✨Brush Up on Financial Mathematics
Make sure you have a solid understanding of financial mathematics, especially concepts related to equity derivatives. Be prepared to discuss how these concepts apply to the role and demonstrate your knowledge during the interview.
✨Showcase Your Programming Skills
Since strong C++ and Python skills are essential for this position, be ready to talk about your programming experience. Consider preparing examples of numerical algorithms you've implemented or projects where you've used these languages effectively.
✨Prepare for Technical Questions
Expect technical questions related to quantitative models and risk assessment. Review common models used in equity derivatives and be ready to explain their applications and limitations clearly and coherently.
✨Demonstrate Your Communication Skills
As the role involves liaising with various teams, it's crucial to show that you can communicate complex ideas effectively. Practice explaining technical concepts in simple terms, as you might need to present your ideas to colleagues from different backgrounds.
