Group Overview The TP ICAP Group is a world leading provider of market infrastructure.   Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.    Through our people and technology, we connect clients to superior liquidity and data solutions.   The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy &amp; Commodities broker in the world, the world’s leading provider of OTC data, and an award winning all-to-all trading platform.   Founded in London in 1866, the Group operates from more than 60 offices in 27 countries.  We are 5,200 people strong.  We work as one to achieve our vision of being the world’s most trusted, innovative, liquidity and data solutions specialist.About Liquidnet Liquidnet is a next-generation agency execution specialist. Powered by technology that helps drive institutional alpha, our trading and liquidity network intelligently and securely connects the world’s investors with the world’s investments.Established in 1999 on the belief that there was a better way to trade, Liquidnet' journey began with a vision to create a platform that goes beyond traditional transactional models.  We wanted to build a community where traders could connect, collaborate, and execute trades with confidence. Over the years, we've grown from a vision into a thriving ecosystem that empowers the buy side in ways never before imagined.We are committed to making trading more efficient, intelligent, and accessible. Our purpose guides every decision we make, from the tools we develop to the relationships we nurture with our Members.Role Overview This role sits within Liquidnet’s Data Services team and plays a pivotal part in the evolution of Liquidnet’s trading and analytics platforms.The successful candidate will split their time between two critical domains: (1) building and maintaining high-performance, latency-sensitive trading systems &amp; market data platform (2) designing and implementing AI-driven solutions using cutting-edge technologies such as LLMs, Agentic AI frameworks, and MCP server architectures.This hybrid role is ideal for a technologist who thrives at the intersection of finance and AI innovation.Role Responsibilities<ul><li>Design and develop scalable, high-performance software components for global equity trading systems using KDB/Q, Python and Java</li><li>Collaborate with data scientists and product teams to integrate AI capabilities into trading workflows and reference data systems</li><li>Contribute to the full software development lifecycle: planning, design, development, testing, deployment, and support</li><li>Contribute to continuous improvement of processes, product development, product quality and technology</li><li>Provide technical oversight and guidance to junior developers on KDB/Q programming best practices</li><li>Conduct code reviews and ensure adherence to high-quality coding standards</li><li>Support production systems and troubleshoot complex issues in real-time environments</li><li>Drive continuous improvement in system architecture, performance, and reliability</li><li>Architect and implement AI-based solutions leveraging LLMs, Agentic AI frameworks, and distributed AI infrastructure</li><li>Lead the development of intelligent agents for data enrichment, anomaly detection, and decision support in trading environments</li><li>Stay current with emerging AI technologies and assess their applicability to financial systems</li></ul>Experience / CompetenciesEssential<ul><li>Proven expertise in KDB/Q and Java/Python in latency-sensitive, high-throughput environments</li><li>Deep knowledge of equity markets, electronic trading, and data exchange protocols (e.g. FIX)</li><li>Strong expertise in market data protocols, normalization, and real-time data processing</li><li>Expert-level Proficiency in Linux, messaging systems, and multi-threaded programming</li><li>Background in quantitative analytics or data science in a financial context</li><li>Working experience designing and deploying AI/ML solutions, particularly with LLMs and agent-based architectures</li><li>Working knowledge of AI infrastructure, including distributed systems, containerization, and orchestration (e.g., MCP servers)</li><li>Understanding of vector databases and RAG architectures</li><li>Strong system design and architectural skills</li><li>Excellent communication and collaboration abilities across technical and non-technical teams</li></ul>Desired<ul><li>Experience integrating AI into financial systems or trading platforms (real-time, latency sensitive systems)</li><li>Exposure to cloud-native AI platforms or hybrid on-prem/cloud AI deployments</li><li>Experience mentoring junior developers or leading cross-functional initiatives</li><li>Exposure to hybrid cloud/on-prem AI infrastructure</li><li>Familiarity with AI governance, model explainability, and ethical AI practices</li></ul>Level 7$160,000-$195,000#LI-Hybrid #LI-MIDNot The Perfect Fit?Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us.Company StatementWe know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. LocationUSA - 200 Vesey Street - New York, NY

We are the world&rsquo;s largest inter-dealer broker, the world&rsquo;s largest energy &amp; commodities broker, and the world&rsquo;s leading provider of over-the-counter (OTC) pricing data.
Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity and distribution of data, through responsible and innovative solutions.
We operate in 28 countries and employ 5,200 people, including 2,600 brokers. Our clients include top tier investment banks and financial institutions.
Through our people and technology, we connect clients to superior liquidity and data solutions across every major asset class, including Rates, FX, Credit Equities, Energy, Renewables and Digital Assets.
We are home to a line up of premium brands. Each has a distinct, client-focused offering, underpinned by the financial security, operational strength and robust governance of the TP ICAP Group.

Principal Software Engineer

Group Overview The TP ICAP Group is a world leading provider of market infrastructure. &nbsp; Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.&nbsp; &nbsp; Through our people and technology, we connect clients to superior liquidity and data solutions. &nbsp; The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy &amp; Commodities broker in the world, the world’s leading provider of OTC data, and an award winning all-to-all trading platform. &nbsp; Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. &nbsp;We are 5,200 people strong. &nbsp;We work as one to achieve our vision of being the world’s most trusted, innovative, liquidity and data solutions specialist.About Liquidnet Liquidnet is a next-generation agency execution specialist. Powered by technology that helps drive institutional alpha, our trading and liquidity network intelligently and securely connects the world’s investors with the world’s investments.Established in 1999 on the belief that there was a better way to trade, Liquidnet' journey began with a vision to create a platform that goes beyond traditional transactional models.&nbsp; We wanted to build a community where traders could connect, collaborate, and execute trades with confidence. Over the years, we've grown from a vision into a thriving ecosystem that empowers the buy side in ways never before imagined.We are committed to making trading more efficient, intelligent, and accessible. Our purpose guides every decision we make, from the tools we develop to the relationships we nurture with our Members.Role Overview This role sits within Liquidnet’s Data Services team and plays a pivotal part in the evolution of Liquidnet’s trading and analytics platforms.The successful candidate will split their time between two critical domains: (1) building and maintaining high-performance, latency-sensitive trading systems &amp; market data platform (2) designing and implementing AI-driven solutions using cutting-edge technologies such as LLMs, Agentic AI frameworks, and MCP server architectures.This hybrid role is ideal for a technologist who thrives at the intersection of finance and AI innovation.Role Responsibilities<ul><li>Design and develop scalable, high-performance software components for global equity trading systems using KDB/Q, Python and Java</li><li>Collaborate with data scientists and product teams to integrate AI capabilities into trading workflows and reference data systems</li><li>Contribute to the full software development lifecycle: planning, design, development, testing, deployment, and support</li><li>Contribute to continuous improvement of processes, product development, product quality and technology</li><li>Provide technical oversight and guidance to junior developers on KDB/Q programming best practices</li><li>Conduct code reviews and ensure adherence to high-quality coding standards</li><li>Support production systems and troubleshoot complex issues in real-time environments</li><li>Drive continuous improvement in system architecture, performance, and reliability</li><li>Architect and implement AI-based solutions leveraging LLMs, Agentic AI frameworks, and distributed AI infrastructure</li><li>Lead the development of intelligent agents for data enrichment, anomaly detection, and decision support in trading environments</li><li>Stay current with emerging AI technologies and assess their applicability to financial systems</li></ul>Experience / CompetenciesEssential<ul><li>Proven expertise in KDB/Q and Java/Python in latency-sensitive, high-throughput environments</li><li>Deep knowledge of equity markets, electronic trading, and data exchange protocols (e.g. FIX)</li><li>Strong expertise in market data protocols, normalization, and real-time data processing</li><li>Expert-level Proficiency in Linux, messaging systems, and multi-threaded programming</li><li>Background in quantitative analytics or data science in a financial context</li><li>Working experience designing and deploying AI/ML solutions, particularly with LLMs and agent-based architectures</li><li>Working knowledge of AI infrastructure, including distributed systems, containerization, and orchestration (e.g., MCP servers)</li><li>Understanding of vector databases and RAG architectures</li><li>Strong system design and architectural skills</li><li>Excellent communication and collaboration abilities across technical and non-technical teams</li></ul>Desired<ul><li>Experience integrating AI into financial systems or trading platforms (real-time, latency sensitive systems)</li><li>Exposure to cloud-native AI platforms or hybrid on-prem/cloud AI deployments</li><li>Experience mentoring junior developers or leading cross-functional initiatives</li><li>Exposure to hybrid cloud/on-prem AI infrastructure</li><li>Familiarity with AI governance, model explainability, and ethical AI practices</li></ul>Level 7$160,000-$195,000#LI-Hybrid #LI-MIDNot The Perfect Fit?Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us.Company StatementWe know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement.&nbsp;LocationUSA - 200 Vesey Street - New York, NY

Principal Software Engineer

About the Job

About the Company

ICAP Energy AS

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