Location: London

Hybrid: 3 days per week in London o0ice

 

About the Role

Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting platform for front-office developers (quants and strategists). This is a unique opportunity to remain hands-on in engineering while also leading a focused, high-impact team.

 

You’ll be at the forefront of data and cloud-native engineering, working with modern technologies across AWS, On-premise kubernetes, Python, and data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you.

 

The successful Senior AWS Data Engineer candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake in the heart of a leading global Investment Banks’ front-office. This is a rare greenfield role that offers the opportunity to solve the ultimate data pipeline challenge faced by all banks, working closely with various businesses and gaining an overview of many different sectors.

 

What We’re Looking For

• 10 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools.

• Strong experience engineering in a front-office/capital markets environment.

• Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security.

• Proficiency in data processing and analysis using Python and SQL.

• Experience with data governance, data quality, and data security best practices.

• Strong knowledge of market data and its applications.

• Understanding of Generative AI concepts, along with hands-on experience in developing and deploying AI applications in real-world environments.

 

Leadership Responsibilities

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.

• Lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.

• Demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard.

• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.

• Manage and mitigate risks through assessment, in support of the control and governance agenda.

• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.

 

Nice to Have

• Experience with other data engineering tools and technologies.

• Knowledge of Machine Learning / AI and data science concepts.

 

Accountabilities

• To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.

• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.

• Development of processing and analysis algorithms fit for the intended data complexity and volumes.

• Collaboration with data scientist to build and deploy machine learning models.

Location: London

Hybrid: 3 days per week in London o0ice

 

About the Role

Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting platform for front-office developers (quants and strategists) in a unique hands-on opportunity within a focused, high-impact team.

 

You’ll be at the forefront of data and cloud-native engineering, working with modern technologies across AWS, On-premise kubernetes, Python, and data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you.

 

The successful AWS Data Engineer candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake in the heart of a leading global Investment Banks’ front-office. This is a rare greenfield role that offers the opportunity to solve the ultimate data pipeline challenge faced by all banks, working closely with various businesses and gaining an overview of many different sectors.

 

What We’re Looking For

• 5 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools.

• Strong experience engineering in a front-office/capital markets environment.

• Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security.

• Proficiency in data processing and analysis using Python and SQL.

• Experience with data governance, data quality, and data security best practices.

• Strong knowledge of market data and its applications.

• Understanding of Generative AI concepts, along with hands-on experience in developing and deploying AI applications in real-world environments.

 

Nice to Have

• Experience with other data engineering tools and technologies.

• Knowledge of Machine Learning / AI and data science concepts.

 

Accountabilities

• To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.

• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.

• Development of processing and analysis algorithms fit for the intended data complexity and volumes.

• Collaboration with data scientist to build and deploy machine learning models.

Senior Project Manager, IT – Enterprise Technology

We are seeking a Senior Project Manager to lead complex, cross-functional technology initiatives within a large enterprise environment. The initial focus will be on a major transformation project migrating from Informatica to Databricks, with additional projects spanning Finance, Corporate Legal, and HR domains.

 

Key Responsibilities

 

• Lead the end-to-end delivery of multiple concurrent IT projects, starting with a data platform transformation.
• Collaborate closely with development teams to ensure technical alignment and successful execution.
• Manage projects in a Waterfall environment, while supporting the transition to Agile methodologies.
• Oversee the upgrade of 25+ applications (out of 100+ in scope), focusing on code and application-level changes.
• Prepare and present bi-weekly executive decks to senior stakeholders, including directors and business leaders.
• Identify and mitigate risks, manage timelines and budgets, and ensure stakeholder expectations are met.
• Build strong relationships across business and technology teams to drive project success.

 

 

Required Skills & Experience

 

• 5+ years of project management experience in IT, ideally within enterprise or financial services environments.
• Proven ability to manage technical projects and work effectively with software development teams.
• Strong understanding of SDLC, Agile and Waterfall methodologies.
• Experience with tools such as JIRA, ServiceNow, Planview.
• Excellent presentation and communication skills, with the ability to create impactful executive-level reporting.
• Ability to manage multiple projects and stakeholders in a fast-paced, matrixed environment.
• Background in data platforms, application upgrades, or enterprise systems is highly desirable.

 

 

Work Arrangement

 

• Hybrid work model with a mix of remote and on-site work at a downtown Toronto office.
• Reporting directly to the Director of Enterprise Technology.

Senior Java Engineer – Strategic Trading Platform

Location: Poland / Remote

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About the Platform

Greenfield project, building a next-generation trading platform currently in beta, designed to serve a large and demanding population of market traders. It’s strategic to our business and built for high performance, resilience, and configurability. Intraday Risk platform, built with Event Driven architecture, Kafka.

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Tech Stack:

• Backend: Java, Kafka, Hazelcast

• Frontend: React-based web UI

• Data: ClickHouse, Postgres

• Analytics: Internal quant library

 

Profile requirements:

• Candidate must have Risk Intraday experience

• Proven track record of developing Event-Driven platforms, with Kafka

• 'Engineer' not 'developer' mindset- A curious problem solver

About the Role

We are building a next-generation AI layer on top of a financial data platform—something no other organization has achieved at this scale. This is your chance to join a small, impactful team and work on greenfield projects that will redefine how professionals interact with massive datasets.

You’ll help us:

• Move from traditional keyword search to semantic search and NLP layers.
• Implement knowledge graphs and vector embeddings to handle hundreds of millions of time-series datasets.
• Build AI-driven reporting capabilities and lay the foundation for our long-term vision: an “Economist in a Box” capable of answering complex queries using advanced AI pipelines.

What You’ll Do

• Develop and maintain .NET-based applications for AI-driven financial solutions.
• Collaborate with AI specialists to integrate semantic search, knowledge graphs, and vector database technologies.
• Work on SaaS and desktop products delivering charts, graphs, and reports from massive datasets.
• Optimize performance for large-scale data processing and ensure secure, scalable integration of AI insights.
• Contribute to building models that generate machine-readable XML files for charts and reports.

Broadcast Support Engineer(s)

Locations: Austria | Germany | Spain | France

Join a global leader in live production tools for the media, sports, entertainment, and corporate sectors. This organisation develops and delivers cutting-edge audio, video, IT, and communication solutions that power some of the most innovative productions worldwide.

We’re seeking Broadcast Support Engineers to join a dynamic team supporting intercom and video systems used in broadcast and live events. This is an exciting opportunity to work at the forefront of broadcast technology, collaborating with cross-functional teams and engaging directly with clients across Europe.

Key Responsibilities:

• Provide technical support for intercom and video systems in broadcast and event environments
• Deliver first and second-line support via hotline and remote sessions
• Reproduce and resolve technical issues in lab environments
• Conduct on-site troubleshooting and customer support when required
• Participate in a 24/7 support rota
• Collaborate with Support, Customer Success, Sales, Product Management, and R&D teams

Your Profile:

• Degree or equivalent in IT, Electrical Engineering, or Video Engineering
• Experience in broadcast and entertainment A/V technology
• Strong knowledge of digital audio, IP video (AES3, AES67, SDI, ST 2110, ST 2022-6), and IP networking (TCP, UDP, IGMP, VLAN, PTP V2, multicast)
• Familiarity with IT/networking infrastructure and troubleshooting
• Excellent communication skills in English (German is a plus)
• Proactive, self-organised, and collaborative mindset

What’s on Offer:

• Flexible hybrid working model
• Career development and training opportunities
• Inclusive, international company culture
• Access to wellbeing and family support services

AI Engineer (VP) – Top Investment Bank Location: Glasgow Hybrid: 3 days per week onsite

About the Role

Join a forward-thinking team that’s transforming how AI and cloud-native platforms support front-office trading. We’re hiring a hands-on engineering leader (VP level) to shape the future of our Dart platform, a core infrastructure enabling Quantitative and Strat developers to build next-generation trading solutions.

This is a high-impact role where you’ll work directly with front-office traders and quants to create bespoke Generative AI tools that influence trading performance. If you’re driven by innovation and excited to build something truly original, this is your opportunity to lead from the front.

What You’ll Do

Lead and innovate across hybrid environments, scaling platform capabilities and accelerating AI adoption:

• Architect and develop advanced platform services for AI-powered trading workflows

• Potentially lead a small team of engineers, fostering technical excellence while remaining hands-on

• Collaborate with infrastructure and platform teams to align capabilities and reduce duplication

• Design secure, scalable, and cost-efficient systems using AWS and Kubernetes

• Mentor junior engineers and establish best practices for AI/ML infrastructure

• Influence cross-functional teams and champion modern engineering approaches

• Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling

Tech Stack

• Programming: Python (Java familiarity is a plus)

• Cloud: AWS (S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more)

• On-Prem: Managed Kubernetes Platform, Hadoop ecosystem

Why This Role Stands Out

• Direct Impact: Build AI tools used daily by traders and quants to optimize strategies

• Creative Freedom: Collaborate openly and bring your ideas to life

• Visibility: Play a key role in a small, high-impact team with broad organizational exposure

What We’re Looking For

• 10+ years of experience in software or data engineering, ideally in platform or infrastructure roles

• Strong Python programming skills with a focus on code quality and testing

• Proven experience applying Generative AI in front-office or capital markets environments

• Deep expertise in AWS services including S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, and CloudFormation

• Passion for hands-on engineering and leading small, agile teams

Nice to Have

• Experience with on-prem Hadoop and Kubernetes

• Familiarity with AWS cost optimization tools

• Understanding of front-office developer workflows in financial services

AI Engineer (AVP) – Top Investment Bank Location: Glasgow Hybrid: 3 days per week onsite

About the Role

Join a pioneering team that’s redefining how AI and cloud-native platforms power front-office trading. We’re hiring a hands-on AI Engineer (AVP level) to help shape the future of our Dart platform—a critical infrastructure supporting Quantitative and Strat developers in building next-generation trading solutions.

This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. If you’re passionate about building something unique, ahead of the curve, and never done before, this is your opportunity to make it happen.

What You’ll Do

You’ll design, build, and innovate across both cloud and on-prem environments, scaling platform capabilities and driving AI adoption:

• Architect and develop cutting-edge platform services for AI-driven trading

• Collaborate with internal infrastructure and platform teams to align capabilities and avoid duplication

• Design and implement secure, cost-aware, and scalable systems using AWS services and Kubernetes

• Contribute to best practices for AI/ML infrastructure and mentor junior engineers as needed

• Work across organizational boundaries and champion modern engineering trends

• Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling

Tech Stack

• Programming: Python (Java familiarity is a plus)

• Cloud: AWS (S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more)

• On-Prem: Managed Kubernetes Platform, Hadoop ecosystem

Why This Role is Different

• Direct Impact: Build AI tools that traders and quants use daily to optimize strategies

• Creative Freedom: Collaborate openly and bring your ideas to life

• Visibility: Be a key contributor in a small, high-impact team with broad organizational exposure

What We’re Looking For

• 5–10 years of experience in software or data engineering, ideally in platform or infrastructure roles

• Strong programming skills in Python, with a passion for code quality and testing

• Demonstrable experience applying Generative AI concepts (ideally in a front-office or capital markets environment)

• Hands-on experience with AWS services such as S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, and CloudFormation

• Experience working in fast-paced front-office environments, either in engineering or analytical roles

• A collaborative mindset and enthusiasm for hands-on engineering

Nice to Have

• Experience with on-prem Hadoop and Kubernetes

• Familiarity with AWS cost management and optimization tools

•  

Location: London

Hybrid: 3 days per week in London office

 

About the Role

Join a pioneering team that’s redefining how AI and cloud-native platforms power front-office trading. We’re hiring a hands-on AI Engineer (AVP level) to help shape the future of our Dart platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions.

 

This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. If you’re passionate about building something unique, ahead of the curve, and never done before, this is your chance to make it happen.

 

What You’ll Do

You’ll design, build, and innovate across both cloud and on-prem environments, scaling platform capabilities and driving AI adoption:

• Architect and develop cutting-edge platform services for AI-driven trading.

• Collaborate with internal infra/platform teams to align capabilities and avoid duplication.

• Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes.

• Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed.

• Work across organizational boundaries and champion modern engineering trends.

• Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling.

 

Tech Stack

• Programming: Python (Java familiarity is a plus).

• AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more.

• On-Prem: Managed Kubernetes Platform and Hadoop ecosystem.

 

Why This Role is Dfferent

• Direct Impact: Build AI tools that traders and quants use daily to optimize strategies.

• Creative Freedom: Open collaboration and the chance to bring your ideas to life.

• Visibility: Be a big player in a small, high-impact team with exposure across the organization. What We’re Looking For

• 5 – 10 years of experience in software/data engineering, ideally in platform or infra roles.

• Strong programming skills in Python; passion for code quality and testing.

• Demonstrable experience applying Generative AI concepts (ideally in a front-office/capital market environment)

• Experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation).

• Experience working in a fast-paced front-office environment in either engineering or analytical roles.

• Passion for being hands-on and contributing to a collaborative engineering culture.

 

Nice to Have

• Experience with on-prem Hadoop and Kubernetes.

• Familiarity with AWS cost management and optimization tools.

• Knowledge of front-office developer workflows in financial services.

React Developer – Greater London

We are seeking an experienced React Developer to join a pioneering video streaming technology company that specialises in dynamic ad insertion for live and catch-up content.

This is a fantastic opportunity to work on innovative web-based platform management tools that support a core streaming infrastructure used by major broadcasters globally. You’ll be part of a senior development team building modern, interactive user interfaces and reusable components using React and TypeScript, with exposure to full-stack development using frameworks like Remix.

Key Responsibilities

• Develop and maintain web-based tools for platform configuration and support.
• Build reusable UI components aligned with design systems (e.g. Figma).
• Contribute to the development of a web SDK for connected devices.
• Collaborate across the full software development lifecycle.

Required Skills

• 5+ years of commercial experience in JavaScript and/or TypeScript.
• 2+ years of hands-on experience with React.
• Strong understanding of HTML, CSS, and responsive design.
• Familiarity with modern front-end tools (e.g. Babel, Rollup, Jest).
• Exposure to Node.js and full-stack development frameworks like Remix.
• Experience with Git, issue tracking, and documentation tools.
• STEM degree or equivalent qualification.

Desirable Attributes

• Passion for clean, scalable code and UI/UX best practices.
• Willingness to learn new technologies and adapt to evolving requirements.
• Experience working with connected devices and SDKs.