Lead Data Engineer

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 ...