Job Overview
The Senior Engineer/Data Models Engineer will work within Research Systems as part of the Data Models, Forecast Platform team, and be focused on the implementation of our next generation platform as part of a modern research data platform. Working closely with stakeholders in the quantitative research team, this person will help drive technical innovation and scalable design as we build high-quality solutions. Scaling and performance are the key criteria for these systems, but modularity and maintainability are of equal focus.
The expectation of the role is to be hands-on, implementing features and capabilities of the next generation system. They will also be part of mentoring and guiding junior members of the team. In addition, they will also be part of on-call support rotations for our Research stakeholders as we maintain our existing applications.
To succeed in this role, they will need to have a passion for designing robust architectures at large scale, managing complex dependencies, and validating system migrations. We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative.
Responsibilities
- Participate in building a data and HPC platform that can meet the scalability and processing needs of Research and Research Systems
- Participate in deep architectural discussions to ensure solutions are designed for successful deployment, scale, security, cost effectiveness and high availability
- Implement features and capabilities of our next generation system, accelerating the deployment time of solutions within a collaborative development environment.
- Achieve high quality metrics through automated testing, robust operational tooling and reliable designs
- Lead/participate in code reviews, and contribute actively during pair programming sessions aimed at enhancing overall quality of delivered artifacts
- Participate in support rotations of our production systems for our Research stakeholders
Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering or a related discipline; at least 5 years of prior experience, financial services exposure is a plus
- Proven record of delivering solutions that are used in a production environment at scale, with high degrees of parallelism, accuracy and uptime requirements
- Proven record of building high-performance cloud native solutions on public cloud (AWS preferred)
- Experience with container technologies like Docker, Kubernetes, Helm
- Experience working with data lakes, data warehousing, and/or database systems, including data frameworks like Trino, Spark, Pandas/Polars, Iceberg, etc
- Ability to write elegant code, and comfortable with picking up new technologies independently
- 3+ years of experience building data centric applications in Python
- Comfortable working with existing SQL and C# codebases
- Experience leading projects or teams is a plus
- Experience with Helm and Infrastructure as Code tools (Terraform preferred) is a plus
- Experience managing stakeholders and expectations is a plus
Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world.
All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law.
Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.
Top Skills
What We Do
Arrowstreet Capital is a Boston-based investment manager that provides global and international equity investment strategies and fund products to institutional investors such as pension plans, endowments, foundations, and registered/unregistered commingled investment funds.
We offer a select range of global equity investment strategies managed as long-only, alpha extension and long/short utilizing a broad range of instruments, including swaps and futures. Our investment process utilizes quantitative methods that focus on identifying and incorporating investment signals into our proprietary return, risk and transaction cost models. Our investment approach involves creating and investing in diversified equity portfolios. We utilize a structured investment process that attempts to add value relative to a client specific benchmark. This involves identifying opportunities across companies, sectors and countries by evaluating a diverse set of fundamental and market-based predictive factors. Portfolios are constructed through the use of a mean variance optimizer and proprietary risk and transaction cost models.
Arrowstreet Capital manages approximately $100 billion for over 200 client relationships in North America, the United Kingdom, Europe and the Asia-Pacific regions.
