Quantitative Investment Associate
The Virginia Retirement System (VRS), the 20th largest pension plan in the United States with $79 billion under management, is seeking an experienced quantitative professional to assist with the development of systematic investment portfolios for the internally managed fixed income program. VRS is located in Richmond, Virginia, a growing, family-oriented city and is frequently ranked as one of the best cities to live and work in America, with easy commutes from suburban communities, historical urban neighborhoods, and a thriving downtown. The Virginia Retirement System offers an excellent work-life balance, benefits package and competitive compensation that includes annual incentive bonuses.
The Quantitative Investment Associate will be responsible for assisting with the on-going development of systematic portfolio strategies and spearheading the development of new strategies, including strategies designed using both supervised and unsupervised machine learning techniques. The Associate will work closely with other members of the fixed income team in designing, building, and testing systematic, factor-based processes for adding value to the fixed income program. The successful candidate will also work with team members in developing relative value and other decision making tools to optimize the security selection and sector allocation processes.
This position on the fixed income team is an important contributor to the management of the fixed income program and will have opportunities to progress into positions with responsibility for the day-to-day management of a portion of the program. Continued education and training are available to Associates and are encouraged for the continued development of knowledge and skills.
The successful candidate for this position must possess the following attributes and qualifications:
- Growth oriented with a strong work ethic and drive to be successful and a passion for continued learning,
- Desire to work with a small team in a collegial environment,
- Strong statistics and mathematical acumen,
- Proficiency in Excel and ability to code in SQL and a math/statistics language, such as Matlab, Python or R,
- A Bachelor’s degree in economics, finance, or a STEM discipline,
- A minimum of three years of experience working with data and predictive modeling techniques.
A Master’s degree and/or a CFA charter is preferred. Experience with fixed income investments is preferred.