Investment Analyst, Research at Pension Reserves Investment Management

Finance Boston, Massachusetts


Description

Investment Analyst Research
Pension Reserves Investment Management Board
Boston, MA 
 

General Description

The $77 billion Massachusetts Pension Reserves Investment Management Board (PRIM), an innovative and effective investment fund, seeks an Investment Analyst for our growing research team, which resides within the Strategy group. Reporting to the Director of Research, the Investment Analyst will build large data sets for processing and model estimations, test asset allocation frameworks and design and code full simulation backtests to live environment.  This role offers the opportunity to gain experience in the investment management field working on large global pension fund initiatives with top investment management staff and firms.

 

About PRIM

 

It is a great time to join PRIM as we are experiencing an exciting time of growth.  Our team works hard on behalf of the Commonwealth, responsibly investing and growing the Massachusetts retirement fund for the benefit of our state and municipal employees and public-school teachers. PRIM offers a healthy work-life balance and is an inclusive employer seeking to foster a diverse, collaborative and curious culture.

 

Mass PRIM is an equal opportunity employer. We seek to hire talented individuals from a diverse range of backgrounds and cultures who will enhance the team by both contributing to their knowledge pool and maintaining the highest professional and fiduciary standards that guide Mass PRIM. Headquartered in Boston’s Financial District, Mass PRIM offers retirement and health benefit packages, competitive salaries, and advancement opportunities.

 

PRIM’s Mission

 

PRIM’s mission is to provide a professional investment service that maximizes the return on investment within acceptable levels of risk by broadly diversifying its investment portfolio, capitalizing on economies of scale to achieve cost-effective operations, and providing access to high quality, innovative investment management firms, all under the management of a professional investment staff and members of the PRIM Board and its Committees.


Responsibilities and Duties

  • Build large data sets for signal processing and model estimation, including validation, normalization, dimension reduction and visualization.
  • Test enhancements for the strategic asset allocation framework and investment strategies.
  • Design and code full simulation backtests to live environment.
  • Collaborate with fellow researchers, investment staff, and database developers to drive improvements and expansion of code base, data availability, and existing research framework.
  • Brainstorm and present actionable research ideas based off a review of existing research and academic literature.
  • Maintain an awareness of economic conditions and capital markets to form and justify investment recommendations.

 

Minimum Qualifications

  • Graduate degree in a quantitative discipline: economics, finance, engineering, statistics, applied mathematics, or computer science.
  • 2-5 years of prior work experience in quantitative research preferred but not required.
  • Strong programming skills in SQL and/or statistical analysis in MatLab, R, or Python.
  • Competent practitioner of econometrics and quantitative finance techniques.
  • Knowledge of multi-asset strategies, modern portfolio theories, and factor-based investing.
  • Intellectual curiosity regarding investment management and academic research.
  • Ability to comprehend, synthesize, evaluate and clearly communicate complex financial concepts and solutions.
  • Ability to work both independently and as part of a team.
  • Ability to interact effectively with various stakeholders in and out of the organization.


It is the policy of Pension Reserves Management Board to afford equal employment opportunity to all qualified persons regardless of race, color, religious creed, national origin, ancestry, age, military status, sexual orientation, disability, genetic information, gender identity, gender expression or gender unless based upon a bona fide occupational qualification.