Portfolio Risk Manager

Nomura Holdings, Inc.; New York (NY); On-site; USD 160,000 - 190,000; Full time

Benefits offered by this job

Full range of medical benefits

401(k) eligibility

Paid time off benefits

Job summary

Nomura Holdings, Inc. seeks an experienced portfolio risk manager to develop a comprehensive view of the firm's portfolio. With 8+ years in risk management, you will leverage analytics to optimize portfolio performance and present findings to senior management.

The role demands strong experience in both loans and derivatives, exceptional analytical capabilities, and proficiency in Python and Power BI.

Competitive compensation includes salary and benefits, tailored to individual qualifications and market factors.

Qualifications

• 8+ years of experience in core risk management roles.
• Master’s degree or equivalent qualification is preferred.
• Proficiency in Python for data manipulation.

Responsibilities

• Develop a global view of the portfolio by integrating analytics.
• Analyze and enhance portfolio risk frameworks.
• Summarize portfolio risk findings for senior management.

Skills

Risk management

Portfolio Risk Management

Analytical skills

Python

Power BI

SQL

Stakeholder management

Education

Master’s degree in Finance or related field

Tools

Power BI

Python

SQL

Job description

The pay range for this position at commencement of employment is expected to be between $160,000 and $190,000/year * (see below footnote for additional compensation and benefits information).

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.
• Analyze 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.

* base pay offered may vary depending on multiple individualized factors, including market location, corporate and functional title and duties, job-related knowledge and advanced degrees, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired in the U.S., employee will be in an at-will position and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.