Python Engineer, Trading Systems (Principal Trading Platform)
BIP US
Location
🇺🇸 United States
Type
full_time
Salary
$140k–$180k
Posted
1mo ago
Job Description
Company
Overview
: Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US (New York, Charlotte, Chicago, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society. BIP specializes in high-impact consulting services across multiple industries with 6,000 employees worldwide. Our domains include Financial Services business serves Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients. BIP is currently expanding its footprint in the United States, focusing on growing its Capital Markets and Financial Services lines. Our teams operate at the intersection of business strategy, technology, and data to help our clients in driving smarter decisions, reducing risks, and staying ahead in a fast-evolving market environment.
About the Role
: We are seeking a trading-grade Python engineer to design and build a production-level Python platform supporting principal trading workflows within a global markets environment.
The role
focuses on developing a robust Python container/framework that enables quantitative teams to implement trading logic in Python while integrating seamlessly with enterprise trading infrastructure and data services. Unlike analytics-focused Python roles, this position requires engineers capable of delivering mission-critical, highly reliable trading applications with the same operational standards as core trading systems. The platform will support principal trading use cases that are not latency-sensitive but demand strong robustness, scalability, and production-grade engineering discipline. Engineers will collaborate closely with quants, trading technology, and platform teams across New York and London hubs.