Portfolio Risk Manager

Nomura's Risk department plays a crucial role in identifying, assessing, and mitigating risks across our business. We strive to protect the firm's assets, reputation, and financial stability by implementing robust risk management practices. Join our team and contribute to our proactive approach in managing risks, allowing us to make informed decisions and thrive in an ever-changing market environment.

Team Overview:

The Portfolio Analytics and Monitoring ("PAM") team operates within the Portfolio Risk function as a "second line of defence," providing critical insights to inform decision-making by the Chief Risk Officer, senior management, Risk Management Committees, and other governance bodies.

The team focuses on portfolio analytics including forward-looking concentration risk analysis and detection of material risks. It collaborates closely with Market Risk, Credit Risk, and other Risk teams, as well as the first line of defence, leveraging frameworks such as stress testing and early warning indicators to provide comprehensive portfolio intelligence.

Role Description:

• Develop a global, forward-looking view of the portfolio by leveraging multiple risk metrics and techniques (default loss, stressed exposure etc.) while integrating portfolio analytics and monitoring with Stress Testing, Risk Identification and other Risk frameworks.

• Analyse the firm's portfolio across multiple dimensions such as rating, sector, product etc. while developing and enhancing portfolio risk frameworks (e.g., Default Risk Appetite, Sector Concentration).

• Systematically identify, measure, and monitor material risk concentrations across the portfolio.

• Undertake risk-return assessments and provide recommendations for portfolio optimization through what-if scenario analysis using economic/stress capital models, particularly focusing on material portfolio concentrations.

• Develop portfolio risk analytics, controls, and dashboards to produce portfolio intelligence suited for decision-making by senior management.

• Summarize portfolio risk findings and deliver well-articulated, impactful presentations to senior management and risk committees.

• Foster collaboration across teams spanning risk, front office, middle office, audit, I.T. etc. and participate in global projects related to Portfolio Risk.

• Implement strong governance, controls, and documentation for team processes and frameworks, including Risk Models owned by the team.

• Design, build and maintain interactive tools and dashboards (e.g. Power BI) requiring advanced data handling and analysis, while utilizing Machine Learning models where appropriate.

Skills, experience, qualifications, and knowledge required:

• 8+ years of experience in core risk management roles with at least 5+ years of experience in Portfolio Risk Management (e.g., Credit Portfolio Management) with strong exposure to both loans and derivatives.

• Experience of markets and financial products across major asset classes (FX, Credit, Equities, Rates, Loans) and their correlations.

• A Background in risk measurement techniques and metrics across risk types (Market, Credit, etc.) such as stress testing, economic loss models (IRC style), PFE, CVA, RWA, JTD etc and experience in non-financial risks (Operational Risk).

• Master's degree or equivalent qualification in Finance, Economics, Risk Management, Quantitative Finance, Mathematics, Statistics, Engineering, or related discipline is preferred. Professional certifications such as FRM, CQF, or CFA would be advantageous .

• Excellent analytical, quantitative, and problem-solving skills with ability to interpret and drill-down into complex portfolio risk metrics.

• Experience in mortgage/securitized products, leveraged loans etc., concentration management, risk mitigation techniques (Credit Insurance) and portfolio RWA/capital optimization would be an advantage.

• Entrepreneurial mindset with ability to break down silos and a proven track record in stakeholder management and cross-functional collaboration.

• Ability to work effectively under pressure in a fast-paced environment with a high degree of engagement with senior management.

• Exceptional interpersonal, verbal and written communication skills with proven ability to conduct presentations to senior management, including those with non-risk backgrounds.

• Proficiency in Python for data manipulation, Extract, transform, and load (ETL) processes, and model development for data analysis and visualization tools.

• Working knowledge of Power BI and SQL including familiarity with Power Query and M language. Experience in Alteryx and Machine Learning would be an advantage.

: Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.

• Inclusion : Respect DEI, foster a culture of inclusion and psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).