Assistant Vice President, Model Risk Quantitative Analyst

MUFG Americas; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

Join MUFG Americas as a Model Risk Management specialist, where you'll validate quantitative methodologies across various asset classes and ensure compliance with regulatory standards. Leverage your expertise in mathematical finance and quantitative analysis to contribute to our mission of building long-term relationships and fostering sustainable growth. This role offers opportunities for personal growth in a culture that values inclusion and innovative thinking.

Qualifications

• At least a first relevant experience in quantitative modelling.
• Good programming level in Python or R or equivalent.
• Strong problem-solving skills and attention to detail.

Responsibilities

• Initial and periodic validation of quantitative models across asset classes.
• Designing, modelling, and prototyping challenger models.
• Documentation of findings and recommendations for model improvements.

Skills

Quantitative modelling

Mathematics

Data Science

Statistical inference

Programming in Python

Financial Products Knowledge

Education

Postgraduate degree in a quantitative discipline

Job description

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.