At a Glance
- Tasks: Validate quantitative models and ensure compliance with regulatory standards.
- Company: Join MUFG, a leading global financial group with 120,000 colleagues dedicated to making a difference.
- Benefits: Enjoy flexible working options and a culture that values diversity and inclusion.
- Why this job: Make an impact in risk management while collaborating with innovative minds in finance.
- Qualifications: Postgraduate degree in a quantitative field and experience in model validation or development required.
- Other info: Open to flexible working requests and committed to equality and diversity.
The predicted salary is between 43200 - 72000 £ per year.
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
OVERVIEW OF THE DEPARTMENT/SECTION
Enterprise Risk Management (ERM) is responsible for supporting the EMEA Chief Risk Officer to implement an effective risk governance framework across MUFG EMEA, and providing a holistic view of the risks facing MUFG in EMEA, including environmental and social risk management. The Model Risk Management (MRM) within ERM is responsible for model governance and the validation of models used by MUFG in EMEA. This includes, among others, risk models which are used for risk measurement and decision-making purposes. MRM works closely with Risk Analytics and Front Office quants to ensure that all risk models are validated on a periodic basis as well as at inception and changes. MRM provides regular model risk reporting to model oversight committees and the Board.
MAIN PURPOSE OF THE ROLE
Independent model validation of quantitative methodologies, both initial and periodic, across all asset classes and model types (derivative pricing models, credit and market risk, capital models, AI models, etc.) and in line with regulatory requirements and industry best practice. The validation regularly requires an independent implementation of the models and the implementation of alternative challenger models.
KEY RESPONSIBILITIES
- Initial and periodic validation of quant models
- Designing, modelling and prototyping challenger models
- Quantitative analysis and review of model frameworks, assumptions, data, and results
- Testing models numerical implementations and reviewing documentations
- Checking the adherence to governance requirements
- Documentation of findings in validation reports, including raising recommendations for model improvements
- Ensuring models are validated in line with regulatory requirements and industry best practice
- Tracking remediation of validation recommendations
SKILLS AND EXPERIENCE
Essential: At least a first relevant experience in quantitative modelling (model development or validation) in one or more of these topics:
- Market risk models
- Counterparty credit risk models
- Derivatives pricing models
Optional: Capital models (Economic/Regulatory), Corporate credit risk models (IRB, PD/LGD/EAD)
Competencies:
Essential: Good background in Math and Probability theory - applied to finance. Good knowledge of Data Science and Statistical inference techniques. Good understanding of financial products. Good programming level in Python or R or equivalent. Good knowledge of simulation and numerical methods. Awareness of latest technical developments in financial mathematics, pricing, and risk modelling.
Beneficial: Experience with AI models, Experience with C++ or C# or equivalent
Optional: Up-to-date knowledge of regulatory capital requirements for market and credit risk
Education: A Postgraduate degree in a quantitative discipline (e.g., statistics, mathematics, mathematical finance, econometrics)
PERSONAL REQUIREMENTS
- Strong problem solving skills
- Strong numerical skills
- A structured and logical approach to work
- Excellent attention to detail
- Excellent written and oral communication skills
- Ability to clearly explain technical matters
- A pro-active, motivated approach
PERFORMANCE AND DUTIES
We are open to considering flexible working requests in line with organisational requirements. MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership. We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
Assistant Vice President, Model Risk Quantitative Analyst employer: MUFG Americas
Contact Detail:
MUFG Americas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assistant Vice President, Model Risk Quantitative Analyst
✨Tip Number 1
Familiarise yourself with the latest regulatory requirements and industry best practices in model risk management. This knowledge will not only help you understand the role better but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the financial services sector, particularly those involved in model validation and quantitative analysis. Engaging in discussions or attending relevant events can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Showcase your programming skills, especially in Python or R, by working on personal projects or contributing to open-source initiatives. This practical experience can set you apart from other candidates and highlight your technical capabilities.
✨Tip Number 4
Prepare for potential interviews by practising how to explain complex quantitative concepts in simple terms. Being able to communicate effectively is crucial, especially when discussing technical matters with non-technical stakeholders.
We think you need these skills to ace Assistant Vice President, Model Risk Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative modelling, particularly in market risk, counterparty credit risk, and derivatives pricing. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that reflects your understanding of MUFG's values and the importance of model risk management. Explain how your background in mathematics, programming, and financial products aligns with the role.
Showcase Technical Skills: Emphasise your programming skills in Python or R, and any experience with AI models or C++. Mention your familiarity with simulation and numerical methods, as well as your knowledge of regulatory capital requirements.
Highlight Problem-Solving Abilities: In your application, provide examples of how you've approached complex problems in quantitative analysis. Discuss your structured approach and attention to detail, which are crucial for model validation.
How to prepare for a job interview at MUFG Americas
✨Showcase Your Quantitative Skills
Make sure to highlight your experience in quantitative modelling, especially in areas like market risk and derivatives pricing. Be prepared to discuss specific projects or models you've worked on, demonstrating your understanding of the methodologies involved.
✨Understand Regulatory Requirements
Familiarise yourself with the latest regulatory capital requirements for market and credit risk. Being able to discuss how your work aligns with these regulations will show that you are not only technically proficient but also aware of the broader implications of your role.
✨Prepare for Technical Questions
Expect technical questions related to financial mathematics, programming in Python or R, and statistical inference techniques. Brush up on these topics and be ready to solve problems or explain concepts clearly during the interview.
✨Demonstrate Communication Skills
Since the role involves documenting findings and communicating recommendations, practice explaining complex technical matters in a simple way. This will showcase your ability to convey important information effectively to both technical and non-technical stakeholders.