Model Risk Validation Analyst

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 QualificationsMachine Learning : Sufficient understanding and practical utilization skill.

Communication & CollaborationClear communication with model owners and effective teamwork within the 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 Team : Share knowledge and align on deliverables.

Thanks!