Securitized Product Associate Analyst (RMBS) - Fixed Income Research Securitized Product Associate Analyst (RMBS) -  …

Ameriprise Financial, Inc.
in Minneapolis, MN, United States
Permanent, Full time
Last application, 07 May 21
Competitive
Ameriprise Financial, Inc.
in Minneapolis, MN, United States
Permanent, Full time
Last application, 07 May 21
Competitive
Securitized Product Associate Analyst (RMBS) - Fixed Income Research
Job Description

Columbia Threadneedle Investments, the global asset management subsidiary of Ameriprise Financial, is seeking to hire a Fixed Income Associate Analyst, Agency RMBS for the Structured Products Research Team. This role will analyze specific securities and help support the broader Residential Mortgage Backed Securities team.

Responsibilities

• Support analysis and research for securitized product team (Agency and Non-Agency RMBS).
• Analyze individual securities and industry trends into actionable recommendations.
• Work with Senior Analysts and Portfolio Managers on RMBS strategy.
• Gather, store and manipulate and large amounts of data for deeper analysis of our investments.
• Utilize large datasets to perform modeling of securities, including prepayment analysis, relative value, and regressions.
• Identify and help build common tools and automation that help the team perform research.
• Manage independent and group research projects.
• Incorporate macroeconomic analysis into research.
• Contribute to team strategy discussions, including daily market meetings.

Required Qualifications

• BA/BS degree in a quantitative field (Mathematics, Statistics, Engineering).
• 2-5 years of relevant investment industry work experience and experience in analyzing and modeling securities.
• Experience with Residential structured products/securitizations, specific experience in Agency RMBS.
• Some programming experience in any programming language.
• Quantitative and qualitative analytical skills to perform security, industry and economic analysis.
• Communication and relationship skills to appropriately influence and share ideas with Portfolio Managers, Traders and Analyst colleagues and Management.

Preferred Qualifications

• Proficiency working with and extracting data from database systems using SQL
• Fluency in programming languages: Python or R
• Expertise in data manipulation and analysis in Excel, including pivot tables
• Chartered Financial Analyst (CFA) completed or in progress.
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