A leading financial data and technology company seeks an innovative quantitative research analyst to enhance valuation tools for US mortgage-backed securities. Ideal candidates will have over 4 years of experience in term structure modeling, strong analytical skills, and proficiency in SAS and Excel. This role involves collaboration with teams to develop analytical reports and models, making a significant impact in the financial markets.
Qualifications
4+ years of experience in term structure modeling and risk management within the US Agency MBS Sector.
Experience with large datasets and conducting regression analysis.
Excellent verbal and written communication skills.
Responsibilities
Collaborate to enhance Bloomberg’s RFR market model for US mortgage-backed securities.
Develop tools for return attribution and risk management.
Create reports to track model performance and market risk.
Skills
Quantitative analysis
Regression analysis
Problem-solving
Data management
Communication skills
Education
BA/BS in Mathematics, Statistics, Economics or other quantitative field
Tools
SAS
Excel
Linux
Job description
A leading financial data and technology company seeks an innovative quantitative research analyst to enhance valuation tools for US mortgage-backed securities. Ideal candidates will have over 4 years of experience in term structure modeling, strong analytical skills, and proficiency in SAS and Excel. This role involves collaboration with teams to develop analytical reports and models, making a significant impact in the financial markets.