
Model Risk Validation
Mizuho • Chennai, Tamil Nadu, India
**Role & seniority: ** Model Risk (Model Validation / Quantitative model validation); 3–5 years in model validation within finance (total experience up to 8 years)
**Stack/tools: **
-
Programming: Python, SQL, C++ (or equivalent)
-
GenAI/automation: agentic coding tools (e.g., GitHub Copilot), Generative AI in quant finance
-
Docs/presentations: LaTeX/Word, PowerPoint
-
Top 3 responsibilities:
-
Quantitative model validation (pricing, risk measurement, stress testing, AI-related models)
-
Documentation, reporting, and communication of validation findings to stakeholders/model owners/approvers
-
Expand/automate model risk management framework: contribute to model governance/scope expansion and automate routine validation tasks
-
-
Must-have skills:
-
Strong quantitative foundation (e.g., financial engineering/physics or equivalent)
-
Financial industry knowledge: products/markets and intermediate risk management understanding
-
Ability to translate validation results into clear conclusions/recommendations for model owners
-
Practical agentic coding experience (e.g., Copilot) applied to model validation
-
Programming proficiency + willingness to learn/apply new skills
-
-
Nice-to-haves:
-
Experience as trader, structurer, or quant analyst in financial markets
-
Research experience (MSc/PhD scientific field)
-
Machine learning knowledg
-
Full Description
Mizuho Global Services Pvt Ltd (MGS) is a subsidiary company of Mizuho Bank, Ltd, which is one of the largest banks or so called Mega Banks of Japan. MGS was established in the year 2020 as part of Mizuhos long-term strategy of creating a captive global processing center for remotely handling banking and IT related operations of Mizuho Banks domestic and overseas offices and Mizuhos group companies across the globe.
At Mizuho we are committed to a culture that is driven by ethical values and supports diversity in all its forms for its talent pool. Direction of MGSs development is paved by its three key pillars, which are Mutual Respect, Discipline and Transparency, which are set as the baseline of every process and operation carried out at MGS.
Whats in it for you? Immense exposure and learning Excellent career growth Company of highly passionate leaders and mentors Ability to build things from scratch
Know more about MGS: -
https: //www.mizuhogroup.com/asia-pacific/mizuho-global-services
The Model Risk role spans quantitative model validation, cross-functional collaboration, and continuous expansion of the model risk management framework. Quantitative analysis pricing, risk measurement, AI & more Communication & collaboration with internal & external stakeholders Model validation documentation and reporting to stakeholders & approvers. Contribution to scope expansion of model risk management and model governance. Support for new product reviews and regulatory / audit responses Automation of routine model risk management tasks.
Models Scope- Pricing models Market, credit & liquidity risk models AI models Stress testing models Algorithmic trading & surveillance models Cybersecurity & marketing models Investment management models Operational Risk Models Compliance Risk Models And other model types
Requirement Model Risk Management Background Candidates must bring strong quantitative foundations, financial industry knowledge, and a commitment to continuous learning.
Required expereince- Total work experience up to 8 years with at least 3 to 5 years in Model Validation in the financial industry Graduate from a top-tier university in financial engineering, physics, or equivalent / higher qualification Knowledge of financial products and financial markets Intermediate knowledge of risk management in the financial industry Practical knowledge of agentic coding tools, such as GitHub Copilot, and experience applying them to model validation Willingness and ability to acquire new knowledge and skills and apply them effectively in the role
Preferred Qualifications Experience in financial markets as a trader, structurer, or quantitative analyst Research experience in a master's or doctoral program in a scientific field
Computer Skills
Required Qualifications: Proficiency across programming, documentation, and AI tools is essential for executing model risk management tasks efficiently.
Python, SQL, C++ or Equivalent: Proficient in at least one core programming language
LaTeX / Word Documentation and presentation Materials using PowerPoint: Able to create documents preferably using LaTeX
Generative AI in Quant finance: Skilled in utilizing generative AI tools effectively in Quant Finance
Preferred Qualifications
Machine Learning: Sufficient understanding and practical utilization skill
Communication & Collaboration Clear communication with model owners and effective teamwork within the Tokyo Validation team are essential for this role.
Required Qualifications
- Communicate model validation findings clearly and effectively to model owners.
- Be a strong team player who collaborates effectively with the Validation team.
Communicate Findings: Present clear conclusions and recommendations
Engage Model Owners: Explain observations and implications effectively
Collaborate: Work constructively with Validation colleagues
Support the Tokyo Team: Share knowledge and align on deliverables.
Thanks!