Securitized Product Associate Analyst - Fixed Income Research Securitized Product Associate Analyst - Fixed  …

Ameriprise Financial, Inc.
in Minneapolis, MN, United States
Permanent, Full time
Be the first to apply
Competitive
Ameriprise Financial, Inc.
in Minneapolis, MN, United States
Permanent, Full time
Be the first to apply
Competitive
Securitized Product Associate Analyst - Fixed Income Research
Job Description

Columbia Threadneedle Investments, a division of Ameriprise Financial, is seeking to hire a Fixed Income Associate Analyst for the Structured Products Research Team. This role will analyze specific securities and help support the more senior analysts across several structured products asset classes.

Responsibilities

• Support analysis and research for structured products (CMBS, ABS, CLO).
• Analyze individual securities and industry trends into actionable recommendations.
• Assist in security selection and modeling for deals on the primary and secondary markets.
• Monitor existing holdings for performance and report findings to larger team.
• Gather, store and manipulate and large amounts of data for deeper analysis of our investments.
• 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.
• 0-4 years of relevant investment industry work experience.
• Some programming experience in any programming language.
• Interest in investments and financial markets.
• 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

• Experience with structured products/securitization including any of RMBS, CMBS, ABS or CLO.
• 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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