Company Profile
Founded in 1977, GMO is a global investment manager committed to delivering superior long-term investment performance and advice to our clients. We offer strategies and solutions where we believe we are positioned to add the greatest value for our investors. These include multi-asset class, equity, fixed income, and alternative offerings.
We manage approximately $69bn for a client base that includes many of the world's most sophisticated institutions, financial intermediaries, and private clients. Industry-wide, we are well known for our focus on valuation-based investing, willingness to take bold positions when conditions warrant, and candid and academically rigorous thought leadership. Jeremy Grantham, GMO's Co-Founder and Long-Term Investment Strategist, is renowned as an expert in identifying speculative investment bubbles and also as a leading climate investor and advocate.
GMO is privately owned and employs over 430 people worldwide. We are headquartered in Boston, with additional offices in Europe, Asia and Australia. Our company-wide culture emphasizes commitment to clients, intellectual curiosity, and open debate. We celebrate and respect our differences, while embracing and valuing what each of us brings to work, as we know that diverse teams in an inclusive, caring environment achieve higher engagement and better client results.
Please follow the prompts included in this job posting to apply. The application window for this role is anticipated to remain open until the job is filled, or as otherwise determined by GMO.
Responsibilities:
We are seeking a talented, highly motivated quantitative researcher to work within our Asset Allocation team. The ideal researcher will blend economic understanding and statistical analysis to help us enhance both systematic and discretionary cross-asset strategies. Candidates are expected to be excellent at coding, have a strong grasp of statistics and economics, and exhibit an exceptional work ethic.
Qualifications:
·Record of outstanding academic and professional achievement in a quantitative field.
·2-5 years of experience as a quantitative researcher.
·Deep interest in – and understanding of – multiple asset classes.
·Experience with statistical modelling, with particular emphasis on time-series analysis.
·Minimum of 2 years of development experience in Python required. Familiarity with SQL, Kubernetes, and Spark strongly desired.
·A good sense of humor is always a plus.
$110,000 - $145,000 a year
The base salary range for this position is $110,000 - $145,000. This salary range is estimated for this role and actual pay may be different based on a candidate's qualifications and/or years of experience. In addition, this position is eligible for a discretionary annual bonus award, which award may be determined by individual, team, department and firm performance, and is subject to the terms of GMO's compensation plan. This position is also benefits eligible. GMO's comprehensive benefits program includes medical insurance, dental insurance, life insurance, long-term disability coverage, a 401(k)/profit-sharing retirement plan, open paid time off, leaves of absences, dependent care resources, tuition reimbursement, charitable gifts matching, flexible spending accounts, and commuter benefits.
GMO is currently operating in a hybrid work model with the current expectation that the candidate will be in the office three to four days per week.
GMO is committed to the recruitment, employment, and promotion of all candidates equally, regardless of an individual's gender, race, color, national origin, ancestry, age, religion, pregnancy, marital status, sexual orientation, gender identity or expression, military or veteran status, genetic information, physical or mental disability (except where such disability is a bona fide occupational disqualification) or any other classification protected under federal, state or local law.