Investment Data Solutions Developer
Boston, MA
Investment Data Solutions /
Full-time /
Hybrid
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 $65bn 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.
Department Profile
The Investment Data Solutions (IDS) Team provides investment data, data engineering & science, quant & application development, operations and support to GMO’s investment teams in all areas of the investment process. Our work spans fundamental, market & alternative data, data warehousing on-premises & in the cloud, data quality, portfolio construction & optimization, investment analytics and more.
The team prides itself on an open culture of sharing and learning new technologies, problem solving, and comradery. We are a focused team of data & technology professionals who work in an agile framework to deliver timely and on-demand solutions using the latest cutting-edge software and methodologies. This team consists of approximately 30 technology professionals who collaborate with all investment teams in GMO (including equity, fixed income, and asset allocation teams), Performance Analytics and Business Development.
The Research and Portfolio Management Systems team forms part of IDS, and is responsible for the design, development, deployment, and support of mission critical applications in verticals of research, portfolio construction and portfolio management. This team consists of 5 technology professionals whose key functions include application development, requirements analysis, system integration, application support, and production support.
Position Overview
We are seeking a developer/software engineer with 3-5 years of experience to work in the Research and Portfolio Management Systems Group on a variety of technical projects focused on investment research and portfolio management. You will work closely with Developers, Product Owners, and Quant Research teams to develop calculation-intensive custom software solutions for quantitative research analysis and portfolio analytics/implementation solutions. The primary technology environment is Python with some applications on the Microsoft .NET stack including .NET, JavaScript and SQL Server.
GMO is currently operating in a hybrid work model with the current expectation that the candidate will be in the office two days per week.
Responsibilities:
- Develop and maintain Python-based backend services for investment management applications. Build RESTful APIs and data pipelines
- Enhance/maintain complex software applications supporting internal business requirements using Microsoft .NET stack, cloud technologies and/or Python stack.
- Create new system components and enhance existing components, with a focus on TDD and SOLID principles.
- Ensure that implementation adheres to architecture, best practices, and GMO’s coding standards.
- Participate in code reviews, code analysis, and identification of software risks.
Required Skills:
- College degree required, preferably in computing, math or science
- Expertise in application of Object-Oriented Analysis and Design developing Python bases products/services
- Exposure to development using .NET stack.
- Experience building APIs using frameworks like FastAPI, Flask, or Django
- Good understanding of relational databases (SQL Server preferred)
- Familiarity with frontend technologies: React, TypeScript, HTML/CSS (not a full-time focus but should be able to contribute)
- Cloud experience (Azure preferred)
- Strong debugging, testing, and documentation habits
Nice To Have:
- Knowledge of Docker, Kubernetes, and CI/CD pipelines
- Exposure to investment or financial services domain
- Working with vector databases and large language models
- Understanding of machine learning fundamentals and NLP concepts
$160,000 - $190,000 a year
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 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.
