The Enterprise Trading Architect is a key strategic and technical leader responsible for designing, integrating, and optimizing the organization's trading technology landscape across all asset classes and geographies. This role ensures that the technology ecosystem supporting trading operations is scalable, resilient, secure, and aligned with business goals. This role encompasses the full lifecycle of trading systems, from deal capture and risk management to settlement, analytics, and regulatory compliance. By leveraging cutting-edge technologies and best practices, the Enterprise Trading Architect facilitates efficient trading workflows, enables data-driven decision-making, and ensures the organization remains competitive in dynamic markets.
The role is open to candidates in US & London.
Roles & Responsibilities
* Develop and maintain an enterprise-wide architecture strategy for trading operations, aligned with organizational goals and market requirements.
* Define a future-ready architectural blueprint that incorporates trading platforms, risk management systems, data analytics, and reporting.
* Lead the adoption of standardized frameworks, tools, and best practices across all trading systems.
* Architect solutions that enable seamless execution across the full trade lifecycle, including deal capture, risk assessment, settlement, and reporting.
* Ensure tight integration between trading systems and operational functions such as risk, compliance, finance, and logistics.
* Design for real-time trade execution and risk visibility to meet dynamic market demands.
* Lead the integration of trading platforms with enterprise systems, market data providers, and external exchanges.
* Oversee the migration of legacy systems to modern, cloud-native, and microservices-based architectures.
* Design scalable and modular architectures to support growth in trading volumes and the addition of new asset classes.
* Establish a unified data architecture to manage and analyze large volumes of structured and unstructured trading data.
* Enable advanced analytics capabilities, including machine learning models for predictive insights and algorithmic trading.
* Ensure data consistency, governance, and security across the trading ecosystem.
* Evaluate and implement emerging technologies such as blockchain, IoT, and AI/ML to enhance trading operations.
* Lead proof-of-concept projects to assess and integrate innovative tools and platforms.
* Drive the adoption of cloud computing, containerization, and serverless architectures for flexibility and cost-efficiency.
* Expertise in AWS, Azure Cloud for hosting trading applications and data platforms.
* Proficiency in data integration, ETL/ELT pipelines, and master data management (MDM).
* Act as a key advisor to business and IT leaders, aligning technology decisions with strategic goals.
* Collaborate with trading, operations, and compliance teams to understand requirements and deliver fit-for-purpose solutions.
Min. Qualifications
This individual must demonstrate strong technical SAP security expertise and knowledge in each of the following technology disciplines:
* Bachelor’s Degree in Computer Science, Business, or Engineering with a minimum of fifteen (15) years of relevant experience.
* 10+ years of experience in enterprise architecture, software engineering, or trading technology roles.
* Deep understanding of financial markets and commodity trading, including market dynamics and regulatory environments.
* Proven experience in designing and implementing trading systems across asset classes (e.g., commodities, equities, fixed income, FX, or energy).
* Hands-on experience with CTRM/ETRM platforms (e.g., OpenLink, Allegro, Endur) and trading platforms (e.g., Bloomberg, ICE, Reuters).
* Deep understanding of the trade lifecycle and its integration with risk, finance, logistics, and compliance systems.
* Experience in large-scale system integration, digital transformation, and cloud migrations.
* Extensive knowledge of pricing models, volatility modeling, and quantitative analysis tools for trading.
* Experience with tools like Snowflake, Databricks, and Hadoop ecosystems for large-scale data processing and analytics.
Skills
* Excellent collaboration, proven ability to cultivate innovation, drive results, and install trust and integrity.
* Ability to work independently, be self-driven, and also deliver through others when necessary.
* Effectively work as part of a team in large Enterprise systems and possess strong interpersonal/communication skills.
* Document and present complex technical subjects; can present to project leadership and business stakeholders.
* Strong technical breadth and depth, consistently researches new technologies and industry trends.
* Leads complex root cause analysis activities and problem-solving teams; demonstrates proactive problem management capabilities.
* Develop relationships across the organization and build trusted relationships to deliver great results together with key stakeholders.
Must be at least 18 years of age and must be legally authorized to work in the United States (US) on a permanent basis without visa sponsorship.
LyondellBasell does not accept or retain unsolicited resumes or phone calls and/or respond to them or to any third party representing job seekers.
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