Consulting firm delivering data, finance and trading-tech transformation programs
BIP US is the New York arm of a global consultancy, and its job posts point to capital-markets delivery work: full revaluation VaR platforms, principal trading runtime infrastructure and front-office portfolio data products. The stack pairs Databricks, Spark, Snowflake and Python with MicroStrategy being phased out. Accelerating, senior-heavy hiring spans engineering and finance, including private-company close transformation.
Notable leadership hires: Process & Procedures Lead, IBOR Transformation Lead
BIP US is the United States operation of a global consulting group. The parent has more than 5,000 professionals across offices in 12 countries. The US business is headquartered in New York City, works nationwide, and has 51–200 employees. Its specialties include digital and corporate transformation, financial services advisory, cyber services, regulatory advisory, program management, testing governance, agile services, and data management and analytics. Current hiring covers the United States and Canada.
BIP US works with Python, Java, Scala, C++, Databricks, Apache Spark, Snowflake, Power BI, Kubernetes, Splunk, Grafana and Ansible across AWS, Azure and GCP. MicroStrategy is being replaced.
Yes. Engineering leads BIP US hiring, followed by finance and data. Most roles are senior, hiring is accelerating, and positions are based in the United States and Canada.
Current projects include a full revaluation VaR platform, runtime infrastructure for principal trading, front-office portfolio data products, investment data pipelines and a private-company financial close implementation.
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BIP US's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.