Senior Data Models Engineering

Company Overview

We are 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 are a registered investment adviser with the U.S. Securities and Exchange Commission (SEC), and a registered commodity trading advisor and commodity pool operator with the U.S. Commodity Futures Trading Commission (CFTC).

Job Overview

The Associate Director, Data Models Engineering will be a key person in a team that provides the golden data model to the Quantative Investment Research group. As a systematic asset manager, Arrowstreet must identify investable trading strategies and implement them quickly and with the highest quality. The rapid integration of novel data sources is a vital competitive advantage for the Research group and essential to the continued success of the firm, as well as the ability to run compute intensive distributed models to derive financial insights.

We are doing a large multi-year program to rewrite the system that creates the golden data model to further increase the capabilities of the firm and to leverage modern data platforms.

Responsibilities

• This is a senior engineering position within the Data Linking team so you will contribute to and support the strategy for all the solutions managed by the Data Linking team.
• Provide expert level design and engineering support toward the successful delivery of individual projects
• Lead and participate in deep architectural discussions to ensure solutions are designed for successful deployment, security, cost effectiveness and high availability
• Provide hands-on delivery on both prototypes as well as project work
• Participate in building a data platform that can support batch and real-time data sets using modern data processing frameworks.
• Assist the team in investigating potential improvements achieved by adopting new data technologies and frameworks.
• Achieve high quality metrics through automated testing, robust operational tooling and reliable designs.
• Production support of the platform to avoid disruption to investment processes.
  
  

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering or a related discipline; at least 10 years of prior experience, financial services exposure is a plus
• Ability to write elegant code, and comfortable with picking up new technologies independently.
• Solid experience dealing with large-scale deployments with high degrees of parallelism.
• Proven record of building high-performance cloud native solutions on AWS
• Proficient in Python and SQL (5+ years)
• Experience working with data lakes, data warehousing, and/or database systems, including processing frameworks like Presto (Athena/Glue), Apache Iceberg, RDBMS, NoSQL, Spark/EMR etc.
• Experience building microservices using technologies like FastAPI, Swagger
• Experience with monitoring technologies like Prometheus/Grafana
• Experience with container technologies like Docker, Kubernetes, Helm
• Experience with CICD technologies like GitLab
  
  

We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative.

We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative.