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- Tasks: Join a top-tier investment bank as a Quantitative Analyst, shaping modelling outcomes directly.
- Company: Work with a prestigious Tier 1 Investment Bank known for its intellectual environment.
- Benefits: Enjoy a dynamic workplace with opportunities to learn from industry experts.
- Why this job: Be at the forefront of model validation, preventing issues before they arise in a collaborative setting.
- Qualifications: Must have experience in equity or hybrid derivatives modelling and strong communication skills.
- Other info: This role is outside IR35, offering flexibility in your work arrangements.
The predicted salary is between 48000 - 72000 £ per year.
Model Validation Quant
Quant Capital is urgently looking for a Model Validation Quant to join our high profile client. Our client is a Tier 1 Investment Bank. This is a first-line quant role — embedded with the quant desk and directly shaping modelling outcomes, not validating them after the fact. This isn’t just about implementing models. It’s about being the person who sees the cracks before they become validation blockers.
We need someone who can:
- Challenge model assumptions
- Spot weaknesses in structure, calibration, or data
- Write documentation that defends the model with clarity and depth
You’ll work closely with FO quants, guide their submissions, and act as a bridge to model validation — pre-empting issues before they escalate.
Responsibilities:
- Review and guide FO quant model submissions with a critical eye
- Develop, test, and refine models using Python notebooks
- Produce high-quality, validation-ready documentation
- Interact proactively with model validation teams
- Support trading and structuring teams as a first-line quant
What we’re looking for:
- Deep experience in equity or hybrid derivatives modelling
- Previous front-office quant experience (not second-line validation or risk)
- Strong understanding of model lifecycle and regulatory context
- Excellent communication skills (both technical writing and spoken)
This is an environment of science and intellectuals. The firm is known globally for its attitudes and rigour; more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you.
My client is based in London.
Quantitative Analyst employer: Quant Capital
Contact Detail:
Quant Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Network with professionals in the finance and quantitative analysis sectors. Attend industry events, webinars, or meetups where you can connect with people who work at Tier 1 Investment Banks. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Brush up on your Python skills, especially in the context of model development and testing. Consider working on personal projects or contributing to open-source projects that involve quantitative modelling to showcase your abilities.
✨Tip Number 3
Prepare for technical interviews by practising problem-solving questions related to equity and hybrid derivatives modelling. Familiarise yourself with common pitfalls in model validation and be ready to discuss how you would address them.
✨Tip Number 4
Develop a strong understanding of the regulatory context surrounding model validation. Being able to articulate how regulations impact model development will demonstrate your depth of knowledge and commitment to compliance.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Quantitative Analyst at a Tier 1 Investment Bank. Familiarise yourself with model validation processes and the specific skills needed for this role.
Tailor Your CV: Highlight your relevant experience in equity or hybrid derivatives modelling and any previous front-office quant roles. Emphasise your understanding of the model lifecycle and regulatory context to align with what the company is looking for.
Craft a Strong Cover Letter: In your cover letter, demonstrate your ability to challenge model assumptions and spot weaknesses. Use specific examples from your past experiences to showcase your critical thinking and problem-solving skills.
Prepare for Technical Questions: Be ready to discuss your technical skills, particularly in Python and model documentation. Prepare to explain how you've previously interacted with model validation teams and supported trading and structuring teams in your past roles.
How to prepare for a job interview at Quant Capital
✨Understand the Model Lifecycle
Make sure you have a solid grasp of the model lifecycle, especially in the context of equity or hybrid derivatives. Be prepared to discuss how models are developed, tested, and validated, as well as any regulatory considerations that may apply.
✨Prepare for Technical Questions
Expect to face technical questions related to model assumptions and weaknesses. Brush up on your knowledge of common pitfalls in model structures and calibration, and be ready to provide examples from your past experience where you identified and addressed these issues.
✨Showcase Your Communication Skills
Since excellent communication is key for this role, practice articulating complex concepts clearly and concisely. Prepare to demonstrate your ability to write high-quality documentation that defends your models, as well as your spoken communication skills during the interview.
✨Engage with the Interviewers
This role involves collaboration with front-office quants and model validation teams. Show your enthusiasm for teamwork by asking insightful questions about their processes and how you can contribute. This will highlight your proactive approach and willingness to learn from others.
