Job Opportunities
Quantitative Investment Analyst
Company: Glen Allen, VA
Industry: Mortgage Real Estate Investment Trust (REIT)
Location: Dynex Capital, Inc.
Overview
Dynex Capital, a leading mortgage REIT, is seeking a highly motivated Quantitative Analyst to join our analytics and trading team. This role will focus on developing tools and models to support the firm’s mortgage and interest rate analytics. The ideal candidate will have a strong technical foundation, a passion for coding, and familiarity with mortgage modeling concepts. This position is tailored for candidates with 1 to 5 years of relevant experience in quantitative finance, data analysis, or related fields.
Key Responsibilities
Tool Development & Coding
Design, develop, and maintain robust analytical tools to support mortgage and interest rate
Build and enhance Excel-based tools for MBS analysis, integrating with Python-based
- analytics and other data systems.
- Write efficient, reusable code to model prepayments, valuations, and risk metrics for mortgage-backed securities.
Mortgage Analytics & Modeling
Develop models to analyze and predict agency MBS prepayment behavior, spread
- movements, and relative value.
- Assist in analyzing specified pools and TBA market dynamics to support trading decisions.
Create and maintain tools to model interest rate curves, hedging strategies, and portfolio
Data Analysis & Reporting
Leverage large datasets to extract insights, develop visualizations, and produce actionable
- reports for senior management.
Ensure data accuracy and reliability by creating and maintaining automated data pipelines.
Support the trading and portfolio management teams with ad hoc analysis and scenario
Collaboration & Support
Work closely with traders, portfolio managers, and other quantitative analysts to refine and
Partner with IT and operations teams to ensure seamless integration of tools and data
Qualifications
Experience & Skills
- 1-5 years of experience in quantitative finance, analytics, or related fields.
- Strong coding skills in Python and advanced Excel (including VBA).
- Familiarity with mortgage modeling, prepayment analysis, and MBS valuation is a plus.
- Experience working with large datasets and knowledge of financial data platforms like Bloomberg.
- A solid understanding of fixed-income markets, particularly mortgage and interest rate instruments is advantageous.
Education
- Bachelor's degree in a quantitative field (e.g., Mathematics, Finance, Economics, Computer Science, Engineering).
- CFA or progress towards CFA preferred.
- Advanced degree (Master's in Financial Engineering, Data Science, or a related field) is a plus but not required.
Technical Skills
- Proficiency in Python libraries such as Pandas, NumPy, and Matplotlib.
- Experience with database querying (SQL) and API integration.
- Familiarity with prepayment and yield curve models.
Personal Attributes
- Detail-oriented, with a strong focus on accuracy and efficiency.
- Highly analytical and capable of translating complex data into actionable insights.
- Self-starter with excellent problem-solving skills and the ability to work independently.
- Self-starter with excellent problem-solving skills and the ability to work independently.