Location: Boston, MA, United States

Join Us at 55ip & Help the Wealth Management Industry Move Forward

Working at 55ip, a separately branded subsidiary of J.P. Morgan, means standing at the intersection of finance and technology—and at the cutting-edge of wealth and asset management. We’ve been making rapid progress on our mission: to break down barriers to financial progress for financial advisors and their clients. Our Boston-, New York-, and Mumbai-based teams have built and brought to market a tax-smart investment strategy engine, portfolio trading and rebalancing, and advisor transition services, all delivered through an intuitive experience and intelligent automation. Driven by strategic partnerships with world-class wealth and asset management firms, we’ve experienced breakthrough growth over the last two years. Today, over 400 financial advisor firms have trusted over $100 billion in assets under supervision with 55ip.

 

As 55ip continues its rapid growth trajectory, we are on the path to managing over $1 trillion in assets under supervision (AUS) by 2030. This scale brings significant challenges and opportunities, including supporting exponential increases in accounts, net flows, revenue, and pre-tax income. Our technology platform must evolve to handle this growth, ensuring robust performance, reliability, and automation for tax-smart investing portfolios across diverse product mixes and client segments.

 

Lead Data Engineer 

55ip’s Quantitative Research & Development team is looking for a lead data engineer to take part in building its research data platform.  The ideal candidate has a background in implementing effective large-scale data solutions in a cloud-based environment.  The candidate will be motivated, a problem solver, a team player, and an effective engineer, looking to make a significant impact.

 

Responsibilities

• Build high-performance cloud-based data solutions to support quantitative research capabilities: back testing, simulations, machine learning, and other advanced analytics & algorithms
• Implement, schedule, and oversee ETL, ELT, and monitoring processes
• Oversee the loading of data from vendor and internal data sources
• Implement and support automation solutions to improve platform scalability
• Monitor the system performance by performing regular tests, troubleshooting, and integrating new features
• Provide L2 support for data systems to stakeholder teams
• Collaborate with technical teams to design and implement data solutions
• Recommend solutions to improve new and existing data systems

 

Requirements

• Bachelor's degree in information systems, information technology, computer science, or similar.
• Expertise in Structured Query Language (SQL); experience with PostgreSQL specifically is a plus
• Expertise in Python, Pandas/Polars, and Numpy
• Clear understanding of OOP and software design constructs within a Python context
• Expertise with AWS Cloud services/technologies, such as RDS, S3, Lambda, Secrets Manager
• Expertise in all aspects of software development lifecycle, especially Agile Scrum
• Strong Experience implementing and monitoring ETL processes
• Strong Experience with database technologies, architecture, performance tuning, and scaling
• Strong Experience in database design and modeling
• Experience with Airflow or similar orchestration tools
• Experience working with and CI/CD tools for application and database development
• Excellent communication (written and oral) and presentation skills
• Ability to work with quant researchers & developers to understand requirements
• Strong attention to detail, pride in delivering high quality work and willingness to learn
• Agility: Able to shift gears and react quickly to timely requests

 

Preferred Qualifications

• Experience working with Data Lakes (Iceberg/DeltaTable)
• Experience working with DuckDB, Spark, and EMR 
• Experience supporting development of AI/ML models
• Exposure to financial capital markets data and trading applications, working with investment data
• AWS certifications are a plus
• Experience with project workflow tools such as Jira in an Agile-Scrum environment
• Knowledge of Linux

 

Join 55IP as a Lead Data Engineer in Boston