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Nomura

Securitized Products Research Analyst, US Fixed Income

Nomura

. Analyze Residential and Commercial Mortgage Backed Securities (MBS/RMBS/CMBS) and Collateralized Loan Obligations (CLOs) .

Posted 9/23/2026full-timeNew York City • New York • United StatesJunior💰 $110,000 - $135,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in analyzing Mortgage Backed Securities, Collateralized Loan Obligations, and corporate credit, with strong quantitative skills in programming languages such as Python, R, or SQL. Proficient in financial analysis and modeling, with a focus on attention to detail and effective communication.

Highest-signal resume keywords
Mortgage Backed Securities AnalysisCollateralized Loan Obligations AnalysisPython ProgrammingFinancial ModelingMicrosoft Excel Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Quantitative AnalysisData AnalysisFixed Income AnalysisStatistical ProgrammingFinancial Reporting
Soft Skills
Strong Communication SkillsAttention to DetailIntellectual Curiosity
Tools & Technologies
AI ToolsDatabase ManagementStatistical Software
Industry Keywords
Residential Mortgage Backed SecuritiesCommercial Mortgage Backed SecuritiesCollateralized Loan ObligationsPrepayment TrendsDefault Trends

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Analyze Residential and Commercial Mortgage Backed Securities (MBS/RMBS/CMBS) and Collateralized Loan Obligations (CLOs)
  • Model and analyze various datasets
  • Contribute to research reports
  • Service institutional clients
  • Analyze prepayment and default trends for mortgage products
  • Recommend relative value trades
  • Monitor ownership structures across sectors
  • Monitor policy developments
  • Analyze corporate credit and leveraged loans

Requirements

What you’ll need
  • 1–3 years of industry experience
  • Quantitative undergraduate degree, including a background in engineering, mathematics, quantitative economics, or data science
  • Some programming ability
  • Strong verbal and written communication skills
  • Experience in fixed income analysis and/or finance helpful but not required
  • Familiarity with a database/statistically oriented programming language such as Python, R, or SQL
  • Familiarity with AI tools
  • Proficiency with Microsoft Excel
  • High intellectual curiosity and strong attention to detail
  • Ability to work in-person full-time in the NYC office

Benefits

Comp & perks
  • Sign-on bonus
  • Restricted stock units
  • Discretionary awards
  • Medical benefits
  • Financial benefits
  • 401(k) eligibility
  • Paid vacation
  • Paid sick time
  • Paid parental leave