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.

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 engineering leader to 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 GenAI 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 lead 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.

• Potentially lead a small team of engineers, driving technical excellence while staying hands-on.

• 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.

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

• Influence across organisational 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 Different

• 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 organisation.

 

What We’re Looking For

• 10 + years of extensive 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 GenAI concepts to front-office/capital market environments.

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

• Passion for being hands-on while enabling and growing a small engineering team.

 

Nice to Have

• Experience with on-prem Hadoop and Kubernetes.

• Familiarity with AWS cost management and optimisation tools.

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

Senior Business Analyst – (Contract)

Location: London (Hybrid – 4 days in office)

Contract: Outside IR35

 

Overview

We are seeking a highly capable and experienced Business Analyst to support a strategic initiative focused on improving middle and back office operations. This role will act as a critical bridge between technology and business teams, helping to define, document, and align operational processes, particularly around cash management, collateral, and manual workflows currently reliant on Excel.

This is a strategic hire, not a delivery-only role. The successful candidate will bring gravitas, ownership, and domain expertise, and will be instrumental in shaping the future operating model.

 

Key Responsibilities

• Act as the liaison between technology and business stakeholders across middle and back office functions.
• Lead workshops and meetings, drive alignment, and document outcomes clearly
• Map current processes and define future-state workflows and operating models
• Identify and document gaps, inefficiencies, and opportunities for improvement
• Support the transition away from Excel-based processes to more structured, scalable solutions
• Produce clear, visual documentation (e.g. process flows, swimlanes, workflows)
• Work closely with stakeholders in London, Bermuda, and Nashville

 

Required Experience

• Proven experience as a Business Analyst within middle and/or back-office functions in financial services
• Strong understanding of cash management, collateral management, cash approvals, and related operational processes
• Experience working with manual, Excel-based workflows and helping teams transition to more robust systems
• Ability to create process maps, target operating models, and workflow diagrams
• Comfortable working in Agile environments with minimal documentation
• Strong stakeholder management and communication skills, with the ability to influence and align across departments

 

Desirable Attributes

• Tenacious, pragmatic, and flexible
• Able to take ownership and drive momentum independently
• Strong interpersonal skills with the ability to work across cultures and time zones
• Experience working in organisations with bespoke or in-house systems