Mizuho

VP - Market Risk Analytics (Fixed Income & Securitized Products)

Quantitative market risk analytics specialist responsible for developing methodologies and managing analytics for various risk models such as value-at-risk, stress testing, and capital models. Candidate will join the Risk Analytics group that partakes in the complete life cycle of model development: from methodology inception and design to local implementation and validation.

Date - JobBoardly X Webflow Template
Posted on:
 
March 24, 2026

Responsibilities

  • Develop, test, implement and document risk analytics for new products
  • Lead the enhancement of infrastructure to implement new risk analytics models including controls to monitor their performance
  • Perform quantitative research to implement model changes, enhancements and remediation plans
  • Work with stakeholders across business and functional teams during model development process
  • Create tools and dashboards which can enhance and improve risk analysis
  • Conduct analysis on existing model short-comings and design remediation plans
  • Maintain, update, improve and back-test risk models
  • Analysis and governance of historical time series data
  • Identify risk not captured by analytics, develop and implement methodology to quantify the materiality, and design strategic plan to better integrate and manage such risk
  • Ongoing analytical support of the business

Qualifications

  • 4-7 years of experience in quantitative modeling for market risk, focused on fixed income and securitized products
  • Master’s degree in a quantitative field, such as mathematics or physics, preferred
  • Deep understanding of Value-at-Risk and the OAS framework with a focus on fixed income and securitized products (e.g., agency MBS, etc.)
  • Knowledge of pricing and risk models for financial derivatives
  • Understanding of prepayment model and its role in MBS valuation
  • Strong analytical skills required to understand quantitative models
  • Strong project, management and organizational skills
  • Strong writing and presentation skills
  • Proficient programming skills in python and database expertise
  • Ability to manage and analyze large data sets
  • Experience with PolyPaths software strongly preferred
  • Ability to communicate effectively with managers that may not have quantitative backgrounds.

The expected base salary ranges from $137,500 - $185,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, including Medical, Dental and 401K plans, successful candidates are also eligible to receive a discretionary bonus.