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- Tasks: Develop and validate quantitative models for trading and risk management in a leading bank.
- Company: Join a prestigious Tier 1 bank in the heart of London.
- Benefits: Competitive salary, performance bonuses, health insurance, and flexible working options.
- Why this job: Make an impact in finance with cutting-edge technologies and innovative solutions.
- Qualifications: Master's or PhD in a quantitative field and experience in financial analysis.
- Other info: Fast-paced environment with opportunities for growth and learning.
The predicted salary is between 43200 - 72000 £ per year.
A leading Tier 1 bank is seeking a highly skilled Quantitative Analyst (Quant Analyst) to join its dynamic team in London. The successful candidate will be responsible for developing, implementing, and validating quantitative models across various asset classes, ensuring alignment with regulatory requirements and business needs.
Key Responsibilities
- Develop, implement, and enhance pricing, risk, and valuation models for trading and risk management purposes.
- Conduct quantitative analysis on financial products such as derivatives, fixed income, equities, and FX.
- Work closely with trading, risk management, and IT teams to provide quantitative support and ensure model integration.
- Perform model validation and backtesting to assess the robustness and accuracy of financial models.
- Develop and maintain model documentation in compliance with regulatory standards (e.g., Basel, IFRS 9, FRTB).
- Collaborate with stakeholders to identify and address business challenges through quantitative solutions.
- Stay abreast of the latest financial modeling techniques, market trends, and regulatory developments.
- Provide analytical support for stress testing and scenario analysis to support capital and risk management strategies.
Key Skills and Experience Required
- Strong academic background with a Master's or PhD in a quantitative discipline (e.g., Mathematics, Statistics, Financial Engineering, Physics, Computer Science).
- Proven experience in quantitative analysis within a Tier 1 bank or financial institution.
- Proficiency in programming languages such as Python, C++, R, or MATLAB.
- Deep understanding of financial mathematics, stochastic calculus, and statistical modeling techniques.
- Experience with risk management frameworks, including market risk (VaR, Expected Shortfall), credit risk, and counterparty risk.
- Strong understanding of derivative pricing models and valuation techniques.
- Excellent communication skills with the ability to present complex concepts to non-technical stakeholders.
- Knowledge of regulatory requirements such as Basel III, FRTB, and IFRS standards.
Desirable Skills
- Experience working with large datasets and applying machine learning techniques in financial modeling.
- Familiarity with cloud-based technologies and big data analytics platforms.
- Certification such as CFA, FRM, or CQF is a plus.
- Experience in algorithmic trading strategies and execution modeling.
Benefits
- Competitive salary and performance-based bonus structure.
- Comprehensive benefits package including health insurance, pension, and flexible working arrangements.
- Exposure to cutting-edge technologies and methodologies in financial analytics.
- Opportunity to work in a fast-paced, challenging, and rewarding environment.
Quant Analyst in London employer: CFA Institute
Contact Detail:
CFA Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance world, especially those who work at Tier 1 banks. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for interviews by brushing up on your quantitative skills and financial knowledge. We recommend practising common quant interview questions and case studies to show off your expertise.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation and reiterate your interest in the role. It keeps you fresh in their minds.
✨Tip Number 4
Apply through our website for the best chance at landing that Quant Analyst role. We’re always on the lookout for talented individuals, and applying directly can give you a leg up!
We think you need these skills to ace Quant Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quant Analyst role. Highlight your experience with quantitative models, programming skills, and any relevant projects. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative analysis and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Skills: Don’t forget to showcase your technical skills in your application. Mention your proficiency in programming languages like Python or R, and any experience with financial mathematics. We’re keen on seeing how you can bring your expertise to the table!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at CFA Institute
✨Know Your Models Inside Out
As a Quant Analyst, you'll be expected to develop and validate complex models. Make sure you can discuss your previous work in detail, including the methodologies you used and the outcomes. Brush up on key concepts like stochastic calculus and derivative pricing models, as these will likely come up during the interview.
✨Showcase Your Programming Skills
Proficiency in programming languages like Python, C++, or R is crucial for this role. Be prepared to demonstrate your coding skills, perhaps through a technical assessment or by discussing past projects. Highlight any experience with large datasets or machine learning techniques, as these are highly relevant.
✨Understand Regulatory Frameworks
Familiarity with regulations such as Basel III and IFRS standards is essential. Research these frameworks and be ready to explain how they impact quantitative analysis and model validation. This shows that you not only understand the technical side but also the compliance aspect of the role.
✨Communicate Complex Ideas Simply
You'll need to present your findings to non-technical stakeholders, so practice explaining complex concepts in simple terms. Use examples from your past experiences to illustrate your points. Good communication skills can set you apart from other candidates, so don’t underestimate their importance!
