Asset manager building data infrastructure for credit and equity products
Lord Abbett operates a 501–1,000-person asset management firm with a tech stack spanning Java/Spring, Python, React, and Azure cloud infrastructure—a mature, enterprise-grade foundation. The hiring mix skews heavily toward finance and sales roles (28 of 57 open), with engineering at 3 roles, signaling product and distribution as primary growth vectors rather than platform expansion. Active projects center on credit scenario modeling, sales dashboards, and product launches, while pain points cluster around scaling analytics, data integrity, and expanding the credit research team—classic constraints for a growing asset manager facing distribution and operational bottlenecks.
Notable leadership hires: Chief Operating Officer
Lord Abbett is a privately held asset management firm headquartered in Jersey City, New Jersey. The firm manages investments across multiple strategies, with current focus on credit-oriented products and domestic equity offerings. Operations span the United States and United Kingdom, with active hiring in finance, sales, marketing, and research functions. The company runs on a Java/Spring and Python backend with React front-end, supported by Azure cloud, SQL Server/PostgreSQL databases, and data orchestration via Kafka—infrastructure designed to support portfolio analysis, client reporting, and sales operations at scale.
Java/Spring Framework, Python, React, SQL Server/PostgreSQL, Kafka, Redis, Azure cloud, Azure DevOps, and Microsoft 365. The firm is adopting GitHub Actions.
Headquartered in Jersey City, New Jersey. Currently hiring in the United States and United Kingdom across finance, sales, marketing, research, and engineering roles.
Credit scenario analysis and modeling, equity product go-to-market strategy, sales dashboards, product launches, and consultant relationship development. Pain points include scaling analytics, data integrity, and expanding the credit research team.
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