Python Engineer, Trading Systems (Principal Trading Platform)

Company Overview:

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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.

Key Responsibilities:

• Design and build a Python-based trading container/framework enabling quants to implement trading logic.
• Develop production-grade Python services with full trading-application reliability and SLA standards.
• Integrate Python platform components with internal market data and trading data services.
• Build APIs, service layers, and runtime infrastructure supporting principal trading workflows.
• Ensure robustness, resiliency, and operational observability of trading applications.
• Contribute to platform architecture, deployment patterns, and runtime environment design.
• Collaborate with quant and trading teams to translate strategy needs into engineered systems.
• Support deployment and lifecycle management within enterprise trading environments.
• Optimize platform usability for quant developers while maintaining production standards.

Required Skills and Experience:

• 7+ years of professional Python software engineering experience.
• Proven experience building production systems in Python (not analytics or scripting).
• Experience developing distributed or service-based systems (microservices, APIs, containers).
• Strong software engineering fundamentals (architecture, testing, deployment, observability).
• Experience integrating applications with data platforms or enterprise services.
• Familiarity with Linux-based production environments.
• Experience delivering reliable systems with uptime/SLA expectations.
• Strong collaboration with quant or research users in technical environments.

Preferred Qualifications:

• Experience in electronic trading or capital markets platforms.
• Experience building frameworks/platforms used by other developers.
• Knowledge of trading system architecture or data flows.
• Experience with containerized deployments and cloud/on-prem orchestration.
• Exposure to principal trading or systematic strategies.
• Familiarity with databases, ETL pipelines, or data engineering stacks.

The base salary range for this role is $140,000 - $180,000

Benefits:

• Choice of medical, dental, vision insurance.
• Voluntary benefits.
• Short- and long-term disability.
• HSA and FSAs.
• Matching 401k.
• Discretionary performance bonus.
• Employee referral bonus.
• Employee assistance program.
• 11 public holidays.
• 20 days PTO.
• 7 Sick Days.
• PTO buy and sell program.
• Volunteer days.
• Paid parental leave.
• Remote/hybrid work environment support.

For more information about BIP US, visit Employment Opportunity:

It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

BIP US provides a reasonable range of compensation for our roles. xihmbke Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.