Assistant Vice President, Model Risk Quantitative Analyst
Assistant Vice President, Model Risk Quantitative Analyst

Assistant Vice President, Model Risk Quantitative Analyst

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Validate pricing models and design challenger models in a dynamic financial environment.
  • Company: Join MUFG, the 7th largest financial group globally, committed to innovation and sustainability.
  • Benefits: Enjoy flexible working options and a culture that values diversity and inclusion.
  • Why this job: Make a meaningful impact while collaborating with diverse teams in a supportive environment.
  • Qualifications: Postgraduate degree in a quantitative field and experience in quantitative modeling required.
  • Other info: Open to flexible working requests; commitment to equality and diversity.

The predicted salary is between 43200 - 72000 £ per year.

Assistant Vice President, Model Risk Quantitative Analyst Apply locations London time type Full time posted on Posted 30+ Days Ago job requisition id 10066636-WD Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 7th largest financial group in the world. 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 EMEA Model Risk Management (EMRM) within ERM is responsible for model governance and the validation of models used by MUFG in EMEA. This includes, among others, derivative pricing models, risk models used for risk measurement and decision-making purposes, capital models, AI models, etc. EMRM works closely with all stakeholders including Risk Analytics and Front Office quants to ensure that all models are validated on a periodic basis as well as at inception and changes. EMRM provides regular model risk reporting to model oversight committees and the Board. MAIN PURPOSE OF THE ROLE Independent model validation of derivative pricing methodologies, both initial and periodic, across all asset classes and model types 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 pricing 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 Experience : Essential: At least a first relevant experience in quantitative modelling (model development or validation) of pricing models Optional: Experience in any of other model types (AI models, Market risk models, Counterparty credit risk models, Capital models) 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 C++ or C# or equivalent Optional: Experience with AI models 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 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. #J-18808-Ljbffr

Assistant Vice President, Model Risk Quantitative Analyst employer: MUFG

At MUFG, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values diverse perspectives, ensuring every voice is heard. Join us to make a meaningful impact while enjoying a supportive atmosphere that champions inclusivity and professional development.
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Contact Detail:

MUFG Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Assistant Vice President, Model Risk Quantitative Analyst

✨Tip Number 1

Make sure to brush up on your quantitative modeling skills, especially in derivative pricing methodologies. Familiarize yourself with the latest regulatory requirements and industry best practices, as this knowledge will be crucial during discussions.

✨Tip Number 2

Demonstrate your programming proficiency in Python or R by preparing examples of past projects or models you've worked on. Being able to discuss your hands-on experience will set you apart from other candidates.

✨Tip Number 3

Stay updated on the latest developments in financial mathematics and risk modeling. Showing that you are proactive about learning and adapting to new technologies can impress the hiring team.

✨Tip Number 4

Prepare to explain complex technical concepts clearly and concisely. This role requires excellent communication skills, so practice articulating your thoughts on model validation and quantitative analysis.

We think you need these skills to ace Assistant Vice President, Model Risk Quantitative Analyst

Quantitative Modelling
Model Validation
Derivative Pricing Methodologies
Statistical Inference Techniques
Data Science
Financial Mathematics
Python Programming
R Programming
Simulation Methods
Numerical Methods
Attention to Detail
Problem Solving Skills
Excellent Communication Skills
Documentation Skills
Regulatory Compliance Awareness
Challenger Model Development

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Assistant Vice President, Model Risk Quantitative Analyst position. Familiarize yourself with model validation processes and the specific skills mentioned in the job description.

Tailor Your CV: Customize your CV to highlight relevant experience in quantitative modeling, particularly in pricing models. Emphasize your programming skills in Python or R, and any experience with AI models or financial products.

Craft a Strong Cover Letter: Write a compelling cover letter that showcases your problem-solving skills and attention to detail. Explain how your background in mathematics and data science aligns with the role's requirements and express your enthusiasm for contributing to MUFG.

Highlight Communication Skills: Since excellent written and oral communication skills are essential for this role, ensure that your application materials reflect your ability to explain complex technical matters clearly. Use concise language and structure your documents logically.

How to prepare for a job interview at MUFG

✨Showcase Your Quantitative Skills

Be prepared to discuss your experience in quantitative modeling, particularly in pricing models. Highlight specific projects where you applied mathematical and statistical techniques, and be ready to explain your thought process and methodologies.

✨Demonstrate Programming Proficiency

Since programming skills in Python or R are essential for this role, come equipped with examples of how you've used these languages in your previous work. Discuss any relevant projects or challenges you faced and how you overcame them.

✨Understand Financial Products

Make sure you have a solid understanding of the financial products relevant to the role. Be ready to discuss different asset classes and their pricing models, as well as any recent developments in financial mathematics that could impact model validation.

✨Communicate Clearly and Effectively

Given the importance of documentation and communication in this role, practice explaining complex technical concepts in simple terms. Prepare to discuss how you would document findings and recommendations in validation reports.

Assistant Vice President, Model Risk Quantitative Analyst
MUFG
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  • Assistant Vice President, Model Risk Quantitative Analyst

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-01-27

  • M

    MUFG

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