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- Tasks: Develop and validate pricing models for exotic equity derivatives.
- Company: Join a leading consultancy firm in the financial services sector.
- Benefits: Competitive daily rate and potential for remote work.
- Why this job: Work on cutting-edge financial models and collaborate with top industry professionals.
- Qualifications: PhD or Master's in a quantitative field; experience in equity derivatives modelling required.
- Other info: Immediate start for an initial 6-month contract, with opportunities for growth.
Location: London
Salary/Rate: £478 - £528 Per Day
Start Date: Immediately
Job Type: Initial 6 Month Contract Inside IR35
Company Introduction
We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Quant Specialist to support a financial services client in London.
Job Responsibilities/Objectives
- This is a contract role focused on the development, validation, and enhancement of equity derivatives models, with a strong focus on exotic instruments.
- The successful candidate will have an advanced quantitative background and hands-on experience in developing and implementing pricing models for complex derivatives.
- The role requires a solid understanding of model risk, including how assumptions and limitations affect valuation and risk metrics.
- Develop and implement pricing models for equity exotic derivatives, such as barrier options, Asian options, and other structured products.
- Build and validate benchmark or alternative models to assess model performance and robustness.
- Analyse and document model assumptions, limitations, and risks.
- Work closely with front-office teams, risk management, and model validation functions to ensure model accuracy and transparency.
- Support compliance with internal and regulatory standards on model governance.
Required Skills/Experience
- The ideal candidate will have the following:
- PhD or Master's degree in Financial Mathematics, Mathematics, Physics, or a related quantitative field.
- Proven experience in equity derivatives modelling, particularly for exotic products.
- Strong knowledge of quantitative modelling techniques and pricing methodologies.
- Ability to identify and quantify model risk and limitations.
- Familiarity with coding in Python, C++, or another quant development language is preferred.
If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.
Disclaimer: Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Contact Detail:
Square One Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Specialist - Square One Resources
✨Tip Number 1
Make sure to brush up on your knowledge of equity derivatives, especially exotic instruments like barrier and Asian options. Being able to discuss these topics confidently during an interview will show that you have the expertise they're looking for.
✨Tip Number 2
Familiarise yourself with the latest quantitative modelling techniques and pricing methodologies. Being well-versed in current trends will not only help you in interviews but also demonstrate your commitment to staying updated in the field.
✨Tip Number 3
Network with professionals in the financial services sector, particularly those who work with equity derivatives. Engaging in conversations can provide insights into the role and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss your experience with model risk and how you've previously identified and quantified limitations in your models. This is a critical aspect of the role, and demonstrating your understanding will set you apart from other candidates.
We think you need these skills to ace Quant Specialist - Square One Resources
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in equity derivatives modelling, especially with exotic products. Use specific examples to demonstrate your skills in developing and implementing pricing models.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your quantitative background and hands-on experience. Mention your familiarity with coding languages like Python or C++, and how they relate to the role.
Highlight Relevant Skills: In your application, emphasise your understanding of model risk and your ability to analyse and document model assumptions. This will show that you are well-suited for the responsibilities outlined in the job description.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail, which is crucial for a Quant Specialist role.
How to prepare for a job interview at Square One Resources
✨Showcase Your Quantitative Skills
Be prepared to discuss your advanced quantitative background in detail. Highlight specific projects or experiences where you developed and implemented pricing models for equity derivatives, especially exotic instruments.
✨Understand Model Risk
Demonstrate a solid understanding of model risk during the interview. Be ready to explain how assumptions and limitations can affect valuation and risk metrics, as this is crucial for the role.
✨Familiarity with Coding Languages
Since familiarity with coding in Python, C++, or other quant development languages is preferred, be prepared to discuss your coding experience. You might even be asked to solve a coding problem or explain your approach to model implementation.
✨Collaborative Mindset
Emphasise your ability to work closely with front-office teams, risk management, and model validation functions. Share examples of how you've collaborated in the past to ensure model accuracy and transparency.
