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.

 

Software Engineer III

55ip’s Quantitative R&D team is looking for a software engineer to help develop and grow our quant platform that provides end-to-end capabilities of a large scale historical & forward-looking simulation framework. The candidate will work with quant teams to design and implement technical solutions of quality and scale. The ideal candidate has a background in full stack software development built on cloud-native systems with exposure to building back testers, simulation engines, and large volumes of data. Candidates are motivated, problem solvers, team players, and effective developers who want to make a big impact.

 

Responsibilities

Build high-performance cloud-based web application solutions to support quantitative research capabilities: back testing, simulations, machine learning, and other advanced analytics & algorithms Produce & maintain architectural & workflow diagrams. Work with product managers to set team priorities and deliverables. Participate in hands-on development to expedite finding resolutions. Participate in agile development team practices. Accountable for highest code quality, best practices, and standards.  Perform code reviews ensuring quality meets the highest level of standards. Provide support during testing and post go-live to internal stakeholders. Work closely with quantitative researchers & developers to understand business requirements Collaborate with technology teams, to share common practices and develop firm-wide solutions of highest quality & scale.

Requirements

Proficiency in Python, Pandas, Polars, GitHub/Bit-Bucket, Jenkins, Jira, and PostgreSQL.  Strong experience with AWS cloud services, such as EC2, EKS, RDS, ElastiCache, S3, Lambda, Secrets Manager, CloudWatch Experience with Django, Redis, and React Clear understanding of OOP and software design constructs within a Python context.  Strong understanding and experience in all aspects of software development lifecycle Solid understanding of agile methodologies such as CI/CD, application resiliency, and security 4 years of experience in relevant software development Bachelor’s degree (or equivalent) in Computer, Electronic or IT Engineering. Excellent communication (written and oral) and presentation skills. Ability to work with quant researchers, developers, and portfolio analysts to understand requirements.

Strong attention to detail, pride in delivering high quality work and willingness to learn

 

Preferred Qualifications

Experience with Terraform  AWS certifications  Exposure to financial capital markets data and trading applications, working with investment data Experience with project workflow tools such as Jira in an Agile-Scrum environment Knowledge of Linux