Python Engineer – Enterprise Trading Platform

BIP US; New York (NY); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Remote/hybrid work environment support

Discretionary performance bonus

Job summary

Business Integration Partners (BIP) is expanding its footprint in the United States, seeking a trading-grade Python engineer to design and build a production-level Python platform for principal trading, pricing, and risk workflows.

You will work with quants and trading technology to deliver robust, scalable systems that integrate with market data and risk services, with a focus on reliability and front-office controls.

Qualifications

• 5+ years of professional Python software engineering experience.
• Experience building production systems in Python, not notebooks or research notebooks.
• Knowledge of Quartz or similar Python trading/risk platforms.
• Experience with microservices, APIs, containers, and internal frameworks.
• Experience with market data, pricing, P&L, and risk services integration.
• Familiarity with Linux production environments and operational support.
• Delivery of reliable systems with uptime, monitoring, and release-management.

Responsibilities

• Design and build a Python-based trading container/framework for quants.
• Develop production-grade Python services with reliability and SLA.
• Integrate platform components with market data, trades, pricing, P&L, and risk.
• Build APIs, service layers, and runtime infrastructure for trading workflows.
• Ensure robustness, observability and operational controls.
• Contribute to Quartz-style platform architecture and tooling.
• Collaborate with quant, trading, risk, and platform teams to translate needs.
• Support deployment and lifecycle management in enterprise trading environments.
• Optimize usability for quant developers while maintaining front-office controls.

Skills

Python

Production systems

Quartz platform

Distributed systems

APIs & microservices

Linux production

Collaboration with quants

Tools

Docker

Kubernetes

CI/CD

Job description

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, pricing, position management, P&L, and risk workflows within a global markets environment.

The role focuses on developing a robust Python container/framework that enables quantitative teams to implement trading, pricing, and risk logic in Python while integrating seamlessly with a Quartz-style enterprise trading platform and internal 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 front-office trading and risk platforms.

The platform will support principal trading use cases that are not latency-sensitive but demand strong robustness, scalability, auditability, and production-grade engineering discipline across trade, position, valuation, and risk data flows.

Engineers will collaborate closely with quants, trading technology, risk, and platform teams across our banking client.

Key Responsibilities:

• Design and build a Python-based trading container/framework enabling quants to implement trading, pricing, and risk logic within a Quartz-style platform (e.g., Quartz, Athena, SecDB, RICE, Xing Xip, Acqa).
• Develop production-grade Python services with full trading-application reliability, controls, and SLA standards.
• Integrate Python platform components with internal market data, trade capture, position management, pricing, P&L, and risk services.
• Build APIs, service layers, and runtime infrastructure supporting principal trading and cross-asset risk workflows.
• Ensure robustness, resiliency, auditability, operational controls, and observability of trading applications.
• Contribute to Quartz-style platform architecture, deployment patterns, runtime environment design, and reusable developer tooling.
• Collaborate with quant, trading, risk, and platform teams to translate strategy and workflow needs into engineered systems.
• Support deployment and lifecycle management within enterprise trading and risk environments.
• Optimize platform usability for quant developers while maintaining production standards and front-office control requirements.

Required Skills and Experience:

• 5+ years of professional Python software engineering experience.
• Proven experience building production systems in Python, not analytics-only scripts, notebooks, or research prototypes.
• Hands-on knowledge of Quartz or comparable Python-based trading/risk platforms, including how quant logic, pricing, risk, and trade data components interact.
• Experience developing distributed or service-based systems, including microservices, APIs, containers, and internal developer frameworks.
• Experience integrating applications with market data, trade/position data, pricing, P&L, risk, or other enterprise trading services.
• Familiarity with Linux-based production environments and operational support requirements.
• Experience delivering reliable systems with uptime, SLA, monitoring, testing, and release-management expectations.
• Strong collaboration with quant, trading, risk, research, or front-office technology users in technical environments.

Preferred Qualifications:

• Experience in electronic trading, global markets, or cross-asset trading/risk platforms.
• Experience building frameworks/platforms used by quant developers, trading technologists, or other technical users.
• Knowledge of front-to-back trading system architecture and data flows, including market data, trade capture, lifecycle, positions, valuation, P&L, and risk.
• Experience with containerized deployments and cloud/on-prem orchestration.
• Exposure to principal trading, systematic strategies, pricing libraries, risk engines, or P&L explain workflows.
• Familiarity with databases, ETL/data pipelines, or data engineering stacks supporting trading and risk platforms.

The base salary range for this role is $140,000 - $200,000, with flexibility for exceptional candidates

• 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.
• Paid parental leave.
• Remote/hybrid work environment support.

For more information about BIP US, visit https://www.bip-group.com/en-us/.

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. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.