VP, Portfolio Risk Manager

Nomura

. Develop a global, forward-looking view of the portfolio using multiple risk metrics and techniques .

Posted 10/19/2026full-timeSingapore • SingaporeLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Portfolio Risk Management, utilizing advanced analytical techniques and risk metrics to optimize portfolio performance. Proficient in developing risk frameworks and analytics, with strong communication skills for presenting findings to senior management.

Highest-signal resume keywords

Portfolio Risk ManagementRisk Measurement TechniquesPython ProficiencyPower BI KnowledgeMaster's Degree in Finance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Risk IdentificationStress TestingEconomic Loss ModelsQuantitative AnalysisScenario AnalysisData AnalysisPortfolio OptimizationMachine Learning ModelsETL ProcessesConcentration Management

Soft Skills

Analytical SkillsProblem-Solving SkillsStakeholder ManagementCross-Functional CollaborationCommunication Skills

Tools & Technologies

Power BISQLAlteryxPythonPower Query

Certifications & Qualifications

FRMCQFCFA

Industry Keywords

Financial ServicesMarket RiskCredit RiskOperational RiskLoansDerivativesSecuritized ProductsPortfolio RWACapital OptimizationEconomic Metrics

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Develop a global, forward-looking view of the portfolio using multiple risk metrics and techniques
Integrate portfolio analytics and monitoring with Stress Testing, Risk Identification, and other Risk frameworks
Analyze the firm’s portfolio across rating, sector, product, and other dimensions
Develop and enhance portfolio risk frameworks, including Default Risk Appetite and Sector Concentration
Identify, measure, and monitor material risk concentrations across the portfolio
Conduct risk-return assessments and recommend portfolio optimization through what-if scenario analysis using economic and stress capital models
Develop portfolio risk analytics, controls, and dashboards for senior management decision-making
Summarize portfolio risk findings and deliver presentations to senior management and risk committees
Collaborate across risk, front office, middle office, audit, and IT teams
Participate in global Portfolio Risk projects
Implement governance, controls, and documentation for team processes and frameworks, including team-owned risk models
Design, build, and maintain interactive tools and dashboards such as Power BI
Use advanced data handling, analysis, and Machine Learning models where appropriate

Requirements

What you’ll need

Master’s or equivalent qualification in Finance, Economics, or Risk Management
Minimum of 8 years’ experience in a risk function within Financial Services, focused on Portfolio Risk Management, with strong exposure to loans and derivatives
Minimum 5 years’ experience with markets and financial products across FX, Credit, Equities, Rates, and Loans, including their correlations
Experience with risk measurement techniques and metrics across Market Risk, Credit Risk, stress testing, economic loss models, PFE, CVA, RWA, and JTD
Experience in non-financial risks, including Operational Risk
Excellent analytical, quantitative, and problem-solving skills
Experience in mortgage/securitized products, leveraged loans, concentration management, credit insurance, and portfolio RWA/capital optimization is advantageous
Entrepreneurial mindset and proven stakeholder management and cross-functional collaboration
Ability to work under pressure in a fast-paced environment with senior management engagement
Exceptional verbal and written communication skills, including presentations to senior management
Proficiency in Python for data manipulation, ETL processes, model development, data analysis, and visualization
Working knowledge of Power BI and SQL, including Power Query and M language
Experience in Alteryx and Machine Learning is advantageous
Professional certifications such as FRM, CQF, or CFA

Benefits

Comp & perks

Equal opportunity employment policy
Diversity, equity, and inclusion commitment
Culture of psychological safety and risk culture
Professional development and knowledge-sharing opportunities