At a Glance
- Tasks: Support and develop the Bank's Model Risk Management framework for market and counterparty credit risk.
- Company: Join ICBC Standard Bank, a leading financial markets and commodities bank with a global presence.
- Benefits: Flexible work environment, diverse culture, and opportunities for personal and professional growth.
- Other info: Be part of a diverse team that values individuality and promotes equal opportunities.
- Why this job: Make a real impact in risk management while working with a dynamic and supportive team.
- Qualifications: Degree in Physics, Mathematics, Statistics, or Finance; experience in risk modelling is a plus.
The predicted salary is between 60000 - 80000 € per year.
12 Month Contract
The Risk Methodologies and Analytics (RMA) Team is part of the Bank's Risk division. RMA is a cross functional Risk Management team that reports to the Head of RMA. The team is based in London. The team has various responsibilities regarding methodologies on a quantitative and qualitative basis for Market Risk, Counterparty Credit Risk, Credit Risk, Operational Risk, Liquidity Risk, Business Risk and portfolio modelling relating to Economic Capital. The quantitative element of the ICBCS Risk Appetite Statement is also the responsibility of the team.
RMA is responsible for the following activities across the different risk classes:
- Own, develop and document risk and P2A - economic capital models owned by the Risk Department.
- Own model monitoring and maintenance activities and resultant model change.
- Support Run-the-Bank (RtB) and Change-the-Bank (CtB) activities with specific focus on methodology related aspects.
- Support stress testing activities.
- Support the New Product and Significant Transaction Approval (NPSTA) process.
- Own model risk governance framework and related activities including regulatory communications insofar as regulatory approved models are concerned.
The purpose of the role is to support and further develop the Bank's Model Risk Management framework related to market risk (MR) and counterparty credit risk (CCR) management and take model ownership where appropriate and feasible.
We're looking for the following skills and experience:
- A degree (or equivalent) (Hons / MSc / PhD) in Physics / Mathematics / Statistics / Finance will be desirable but not essential.
- Experience in either MR or CCR modelling either through a model development or model validation role.
- Practical and theoretical mathematical risk modelling knowledge including modelling techniques.
- Proficiency in Python / C# / C++ / Matlab development experience including integration with Microsoft Office.
- Understanding and practical experience of MR modelling experience used in VaR, SVaR, RniV, back testing and stress testing to support historical simulation VaR model.
- Incremental Risk Charge (IRC) model development experience.
- An understanding of front office valuation across trading and banking book.
- Murex experience.
- CCR exposure calculation (risk factor simulation and valuation) and metrics experience.
Responsible for supporting and developing the MR and CCR methodology framework and provide methodological assurance for new product approval process. Support regulatory related work in a broad sense covering pillar1 (IMA, FRTB SBA) and pillar 2 (a internal capital /b stress capital framework) in relation to MR / CCR. Participation in change the bank strategic initiatives where it crosses over MR / CCR methodology. Assist on and take ownership where feasible with setting up RniV calculations related to the IMA model and assist with market data review and calculation used for VaR / SVaR / CCR risk factor calibration. Maintain up to date and detailed documentation of the existing risk models (such as IRRBB) and risk methodologies affected by change, meeting regulatory requirements and internal standards. Provide detailed pre-emptive justification and ongoing review of the modelling choices and assumptions in support of model risk management.
The RMA team is expected to look beyond the mathematical correctness of the model to the underlying use case / economic context and the related model performance. Essential is to provide a robust model adapted to the situations and markets the bank operates within. Practical knowledge is therefore required in addition to theoretical understanding of the Risk Models.
Model development, implementation, monitoring and change:
- Support the ongoing model life cycle activities related to MR and CCR models in particular.
- Support development of analytical tools to support data analysis and visualization to support the model life cycle activities.
- Support methodology documentation development and model validation review.
- Support model risk governance and regulatory submission activities.
Systems Developments and New Products:
- Participate in the elaboration of tools to automate risk analysis and review framework.
- Participate in the new product and significant transaction approval (NPSTA) process across MR and CCR.
Key interfaces:
Establish a strong working relationship with the RMA Team members, Quantitative Analysis Department (QAD), Global Markets trading function, the Model Validation and the relevant risk management control (MR, CR, OR) and reporting (RAV) and Change the Bank (CtB) teams.
Regulatory and Industry Developments:
Keep abreast of industry best practice in terms of relevant quantitative methods and practical implementation and model risk.
Why should you join us? ICBC Standard Bank Plc (ICBCS) is a leading financial markets and commodities bank, driven to deliver the right outcomes for our stakeholders, clients, counterparties and markets. We benefit from a unique Chinese and African parentage and an unrivalled global network and expertise. We're headquartered in London, with operations in Shanghai, Singapore and New York. We're a diverse and close-knit global team. We put people first, giving talented, self-driven professionals the flexibility, rewards and freedom to grow their expertise and realise their potential. Our vision statement, "Be Yourself, Succeed Together" underpins our drive for an open and transparent culture which values difference, enabling everyone to thrive whilst being themselves. We have an active E, D&I forum and we're growing other employee network groups, including for women and neurodiversity. We're committed to the principle of equal opportunities. All applicants will be treated equally and will be considered on their merits and skills without discrimination. If you're excited about becoming part of our team, get in touch. We'd love to hear from you!
Quantitative Risk Manager employer: ICBC Standard Bank Plc
ICBC Standard Bank Plc offers an exceptional work environment for a Quantitative Risk Manager in London, where employees are empowered to develop their skills within a diverse and inclusive culture. With a strong focus on professional growth, the bank provides opportunities for meaningful contributions to risk management while fostering collaboration across global teams. The commitment to employee well-being and a supportive atmosphere makes ICBCS an attractive employer for those seeking to thrive in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Risk Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to quantitative risk management. Use mock interviews with friends or mentors to get comfortable talking about your skills and experiences.
✨Tip Number 3
Showcase your skills through projects or case studies. If you’ve worked on relevant models or analyses, be ready to discuss them in detail. This will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Quantitative Risk Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Risk Manager role. Highlight relevant experience in market risk and counterparty credit risk modelling, and don’t forget to showcase your skills in Python or C++.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about risk management and how your background makes you a great fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills:We love seeing technical skills in action! If you’ve worked on model development or validation, make sure to include specific examples. Mention any tools or methodologies you’ve used that relate to the role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at ICBC Standard Bank Plc
✨Know Your Models Inside Out
Make sure you have a solid understanding of the risk models relevant to the role, especially those related to Market Risk and Counterparty Credit Risk. Be prepared to discuss your experience with model development, validation, and any specific methodologies you've used.
✨Brush Up on Technical Skills
Since proficiency in programming languages like Python, C#, or C++ is crucial, ensure you're comfortable discussing your coding experience. You might even want to prepare for some technical questions or practical tests that could come up during the interview.
✨Understand the Regulatory Landscape
Familiarise yourself with the regulatory requirements related to model risk management, particularly those concerning Pillar 1 and Pillar 2. Being able to articulate how these regulations impact model development and validation will show your depth of knowledge.
✨Showcase Your Analytical Mindset
Prepare to demonstrate your analytical skills by discussing past projects where you developed analytical tools or conducted data analysis. Highlight how your contributions improved model performance or supported decision-making processes within a team.