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Quantitative Developer
2 months ago
GMO LLC is seeking a highly skilled Quantitative Developer to join our Investment Data Solutions (IDS) Team. As a Quantitative Developer, you will play a critical role in developing and maintaining our research platform and strategy/portfolio applications.
Responsibilities:- Develop, enhance, test, and deploy production model code to support existing research platform and strategy/portfolio applications.
- Work closely with researchers and investment professionals to provide operational support for running quant models.
- Assist in migrating code to a new Python-based quantitative research platform and suggest modern architectures.
- Utilize industry-standard best practices for software design and implementation, lead internal code review processes, provide code analysis, and proactively identify software risks.
- Design and develop efficient end-to-end data and analytical solutions that support internal business requirements using a Python stack.
- Bachelor's or equivalent college degree required.
- Advanced degree in computer science, data science, engineering, math, or science preferred.
- Familiarity with statistics and experience working with optimization libraries (open-source optimization libraries like cvxpy, commercial solvers like Gurobi) is helpful.
- Matlab experience a plus, not required.
- A minimum of 3-5 years of experience in Python, including package development.
- Solid understanding and application of software design principles.
- Experience with SQL queries and database development using relational databases is preferred.
- Experience with git is strongly preferred.
- Experience and understanding of modern CI/CD DevOps and orchestration tools such as Azure DevOps, Airflow, Kubernetes, and Docker is a bonus.
- Experience using cloud-based large data platforms such as Databricks, Synapse, Data Lakehouse is a plus too.
GMO LLC 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. 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.
The IDS Team consists of over 35 technology and data engineering professionals who partner closely with GMO's investment managers and research teams to provide structured and unstructured market data, data engineering, and analysis, quantitative application development, operations, and support in all areas of the research and investment process. Utilizing cloud-based tools and architectures, our work spans fundamental and alternative data pipeline creation, data engineering, portfolio construction, optimization, investment analytics, and more.
We are a focused team of data and technology professionals who work in an agile framework to deliver timely and on-demand solutions and frameworks. If you are a motivated and detail-oriented individual with a passion for data-driven investment solutions, we encourage you to apply for this exciting opportunity.
