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- Tasks: Join us as a Market Risk Model Validation Senior Analyst, tackling data and risk analysis daily.
- Company: Work for a prestigious international bank that values skill development and collaboration.
- Benefits: Enjoy hybrid working with at least 2 days from home, plus competitive salary and bonuses.
- Why this job: This role offers a chance to challenge yourself in a dynamic environment while making impactful decisions.
- Qualifications: 5+ years in model validation/development, strong quant skills, and proficiency in SQL, Python, and Excel required.
- Other info: Be prepared for senior manager engagement and frequent communication of your findings.
The predicted salary is between 68000 - 95000 £ per year.
Market Risk Modeller/ Validation – Senior Analyst
£85,000 – £95,000 Basic + bonus & benefits.
London (Hybrid working)
Do you have experience of market risk modelling or validation with strong quant background? Would you like to change your role and work for a well-regarded international bank, which gives you a platform to develop your skills and challenge yourself in a collaborative environment?
Your new role would be a challenging permanent opening as a Market Risk Model Validation Senior Analyst based in the City, London, with home working at least 2 days a week.
You will be in a key role undertaking critical review and challenge the bank’s use of models quantitative tools and technical analysis and drive best practice regarding modelling, data and analytics standards. The role will involve substantial data manipulation and independent analysis to identify risks, trends and solutions
In addition the role will also involve senior manager engagement, frequent communication of results and recommendations, so you will be an excellent communicator.
In order to qualify for this excellent opportunity, you must have worked with building or validating market risk models
Other required experience includes:
- 5+ years of experience working in a model validation and/or model development role.
- Advanced working knowledge of Retail / Corporate / Private banking including core financial processes, Treasury activities, and activities undertaken by the second line Risk function.
- Strong mathematical, first principles understanding of modelling methodologies, understanding of economic theory, understanding of financial notation and formulas, and understanding of AI and ML techniques.
- Broad understanding of best practice surrounding model lifecycle management and model validation. Experienced in scoping, developing, testing, validating, implementing and documenting financial models and financial tools.
- Significant expertise in the use of data analysis tools such as SQL, Python, SAS to perform risk analysis, manipulate data, identify trends, build tools/models, and to automate processes.
- Advanced level Excel with VBA/macros.
Market Risk Modeller - Quant employer: BWD Search & Selection
Contact Detail:
BWD Search & Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Risk Modeller - Quant
✨Tip Number 1
Make sure to highlight your experience with market risk models during networking events or industry meetups. Engaging with professionals in the banking sector can provide you with insights and potentially lead to referrals.
✨Tip Number 2
Stay updated on the latest trends in quantitative finance and model validation. Following relevant blogs, attending webinars, or joining professional groups can help you stay informed and demonstrate your commitment to continuous learning.
✨Tip Number 3
Practice your communication skills, especially when it comes to explaining complex quantitative concepts. Being able to convey your findings clearly to senior management will set you apart in the interview process.
✨Tip Number 4
Familiarize yourself with the specific data analysis tools mentioned in the job description, such as SQL, Python, and SAS. Consider working on personal projects or contributing to open-source projects to showcase your proficiency in these areas.
We think you need these skills to ace Market Risk Modeller - Quant
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in market risk modelling or validation. Detail your previous roles, focusing on specific projects where you built or validated models, and how they relate to the requirements of the position.
Showcase Technical Skills: Clearly outline your technical skills, especially in data analysis tools like SQL, Python, and SAS. Provide examples of how you've used these tools in past roles to perform risk analysis or manipulate data.
Communicate Effectively: Since the role requires excellent communication skills, include examples of how you've effectively communicated results and recommendations to senior management in your previous positions.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to reflect the specific requirements mentioned in the job description. Use keywords from the job listing to ensure your application stands out to recruiters.
How to prepare for a job interview at BWD Search & Selection
✨Showcase Your Quantitative Skills
Make sure to highlight your strong quantitative background during the interview. Be prepared to discuss specific models you have built or validated, and explain the methodologies you used. This will demonstrate your technical expertise and understanding of market risk.
✨Communicate Clearly and Effectively
Since the role involves frequent communication with senior managers, practice articulating complex concepts in a clear and concise manner. Use examples from your past experiences to illustrate how you effectively communicated results and recommendations.
✨Demonstrate Your Data Manipulation Skills
Be ready to discuss your experience with data analysis tools like SQL, Python, and SAS. Prepare to share specific instances where you manipulated data to identify risks or trends, as this is a key aspect of the role.
✨Understand the Model Lifecycle
Familiarize yourself with best practices surrounding model lifecycle management and validation. Be prepared to discuss your experience in scoping, developing, testing, and documenting financial models, as this knowledge is crucial for the position.
