Join a high-performing Cyber Security Engineering team building the backend services, APIs and automation that support a large-scale cyber data platform.

This is an excellent contract opportunity for a Software Engineer with 2-3 years' experience looking to develop their expertise across cloud, DevOps, Terraform and cyber security within a complex enterprise environment.

Key Responsibilities

• Build and support backend services and APIs
• Deliver cloud solutions across AWS and Azure
• Automate infrastructure using Terraform
• Develop and maintain CI/CD pipelines
• Support API integrations and platform services
• Work closely with security, data and platform engineering teams

Essential Skills

• Java, C#/.NET or Python
• AWS or Azure
• Terraform
• CI/CD pipelines
• TDD/BDD
• SOLID principles and engineering best practices
• Secure software development practices

Desirable

• Kong or API Gateway experience
• Go and/or Python
• Databricks, Spark or Data Lakes
• DevOps or Cyber Security experience

Why Apply?

• Work on business-critical cyber platforms
• Gain exposure to large-scale cloud engineering
• Develop skills across APIs, automation and DevOps
• Collaborate with experienced engineers in a highly technical environment

Interested? Apply now or get in touch for a confidential discussion.

We're working with an investment management firm that is growing its internal cloud engineering capability and is looking to hire a Devops Specialist with strong Azure experience.

This is a hands-on position where you'll play a key role in building and developing the firm's Azure platform. Working closely with senior technology stakeholders, you'll help establish cloud standards, improve governance, and provide a secure, scalable platform for engineering, data and AI workloads.

Responsibilities;

• Design, build and support Azure landing zones, management groups and subscription structures.
• Develop and maintain infrastructure as code using Terraform and/or Bicep.
• Build reusable platform services, standards and deployment patterns.
• Manage Azure identity and access management, including Entra ID, RBAC and privileged access controls.
• Design and support secure cloud networking solutions, including hybrid connectivity and private networking.
• Implement governance controls, Azure Policy and compliance automation.
• Monitor and optimise cloud usage and costs.
• Support data and AI platforms, including Azure Databricks environments.
• Collaborate with internal teams and third-party providers to improve platform capability and operational standards.
• Produce documentation, standards and guidance to support wider engineering teams.

Requirements;

• Strong experience designing and operating Azure platforms in enterprise environments.
• Hands-on experience with Azure Landing Zones, governance and security controls.
• Experience building infrastructure using Terraform and/or Bicep.
• Good understanding of Azure networking, identity and access management.
• Experience with Entra ID, RBAC, Conditional Access and privileged access controls.
• Scripting and automation skills using Python, PowerShell and/or Bash.
• Experience implementing governance frameworks, policy controls and security best practices.
• Strong communication skills and the ability to work closely with technical and non-technical stakeholders.

Desirable;

• Azure Databricks experience.
• Experience delivering AWS to Azure migrations.
• Experience within financial services or other regulated environments.
• Knowledge of NIST, CIS or similar security frameworks.
• Exposure to AI governance and security controls.
• Microsoft cloud certifications.

What's on Offer;

• Opportunity to play a key role in shaping a growing Azure platform.
• Direct access to senior technology leadership.
• High level of ownership and technical influence.
• Exposure to cloud, data and AI initiatives within a modern engineering environment.
• Hybrid working from a London office.

From Bethaney Rubin Quesnelle [Updated] 

Senior Business Systems Analyst: Wealth Management

Role Overview
Support design and delivery of AI-enabled applications in wealth management.

Key Responsibilities

• Lead discovery sessions, workshops, and process analysis with business, technology, data, risk, compliance, privacy, and operations.
• Identify where generative AI, agentic AI, automation, analytics, or traditional technology fits; define AI use cases across advisory, operations, client servicing, onboarding, reporting, compliance, and productivity.
• Gather AI-aware requirements: data needs, permissions, human oversight, confidence thresholds, exception handling, explainability, auditability, fallback processes.
• Document current/future state processes, business rules, roles, controls, impacts, and non-functional requirements (security, performance, retention, privacy); validate with SMEs.
• Write epics, user stories, use cases, process flows, and acceptance criteria.
• Profile data (quality, completeness, lineage, accessibility, AI suitability) and produce data mappings.
• Define positive, negative, exception, and misuse scenarios; support UAT, backlog refinement, and delivery planning.
• Define evaluation and success measures (response quality, accuracy, usability, business outcomes); maintain end-to-end traceability.

Required Qualifications

• 7+ years as a BSA, Senior BA, or Product Analyst in a large or regulated organization.
• Led discovery and requirements for complex business and technology initiatives.
• Strong user stories, acceptance criteria, process models, and functional requirements.
• Practical data profiling, quality, mapping, and lineage experience.
• Experience supporting digital, automation, analytics, ML, or generative AI solutions.
• Agile, hybrid, or scaled delivery; strong facilitation and stakeholder management.
• Tools: Jira, Confluence, Azure DevOps, SQL, Visio, or equivalent.

Wealth Domain Knowledge

• Business model: full-service advisory, discretionary/managed, self-directed, private wealth; segments (retail affluent, HNW, UHNW, business owners, family offices); revenue drivers (advisory fees, commissions, asset-based fees, margin/interest spread, distribution fees).
• Products and accounts: equities, fixed income, mutual funds, ETFs, structured notes, GICs, alternatives; cash, margin, registered, non-registered, corporate/trust/estate, joint accounts; Canadian registered plans (RRSP, RRIF, TFSA, RESP, FHSA, LIRA/LIF); managed solutions (SMAs, model portfolios, discretionary mandates).
• Client lifecycle: prospecting, onboarding, KYC, account opening, funding/transfers, advice and trading, review, offboarding; ID, suitability, risk profiling, AML/source of funds, tax residency, beneficial ownership checks; periodic KYC refresh and suitability reassessment.
• Advisor and branch workflow: advisor, associate, branch manager, compliance, operations, trading, and product specialist roles; books of business; account opening, client notes, orders, rebalancing, reviews, transfers, cash movements.
• Operations: trade lifecycle (entry to settlement and confirmation); deposits/withdrawals, journals, security and in-kind transfers, corporate actions, estate processing.
• Compliance and risk: KYC, suitability, best-interest obligations, documentation, record retention, restricted activities, regulatory landscape; market, credit/margin, operational, conduct, reputational, regulatory risk.
• Suitability inputs: objectives, time horizon, risk tolerance/capacity, net worth, liquidity, knowledge.
• Data, reporting, systems: client, household, account, advisor, holdings, transaction, order, fee, risk, compliance data; statements, performance, tax, compliance, advisor productivity, AUM/revenue reports; CRM, account opening, trading, portfolio management, document management, surveillance, data warehouse.
• Fees and documents: commission, asset-based, household pricing, waivers; revenue attribution by advisor, branch, product; account applications, KYC forms, managed account agreements, fee schedules, confirmations, statements, tax documents.
• Vocabulary: AUM, discretionary vs. non-discretionary, margin, cost base, householding, beneficial owner, rebalancing, corporate action, settlement.

AI Knowledge and Experience

• Understands generative AI and LLM concepts (prompts, grounding, RAG, embeddings, hallucinations, evaluation) and can write requirements for AI applications: data needs, human oversight, confidence thresholds, guardrails, and evaluation criteria.
• Hands-on user of Copilot, OpenAI, or Claude to extract requirements from multiple documents and data sources, and to generate analytical tools, requirements artifacts, and presentations through effective prompting.
• Validates AI outputs for accuracy and quality; defines acceptance criteria and test scenarios for AI-enabled applications.

We're currently working on a Cloud Infrastructure & Site Reliability Engineer opportunity within a Cyber Security & Analytics team at a Global Bank that is looking to identify internal and external threats across multi-cloud environments.

Responsibilities:

• Designing and managing Azure infrastructure used to ingest and process security data from sources across Azure, AWS and GCP
• Helping teams understand who is accessing what, identify vulnerabilities, and detect potential threats.

They're looking for experience with:

• Azure (AKS, Function Apps, Storage Accounts)
• Terraform
• Azure DevOps or GitHub CI/CD
• Python
• Databricks (nice to have)

Key Details:

• 3 days per week on-site in either Sheffield or Birmingham
• 6-month contract role (with extensions)
• Inside IR35

About the Role

We are looking for a hands-on UI Developer to design, build, and support modern, AI-powered user experiences within a fast-paced, enterprise-scale data environment for a growing Investment Bank.

You will play a key role in shaping the frontend architecture of a new platform and data control plane, creating intuitive, responsive, and accessible interfaces that enable users to interact seamlessly with complex data and AI-driven workflows. This is a builder's role for someone who enjoys taking concepts from a blank page to polished, production-grade applications.

What You'll Do

• Design and build responsive, accessible, and high-performing user interfaces using React.js, Angular, TypeScript, and modern frontend frameworks.
• Develop reusable UI components, design patterns, and frontend architecture that can scale across multiple applications.
• Integrate frontend applications with backend APIs, AI services, and agent-based workflows.
• Build engaging user experiences for AI-powered applications, including conversational interfaces, data visualisations, dashboards, and workflow tools.
• Ensure applications meet accessibility, usability, and performance standards.
• Implement authentication, authorization, and role-based access controls within frontend applications.
• Write unit, integration, and regression tests to ensure reliability and maintainability.
• Support and maintain production applications, troubleshooting issues and continuously improving the user experience.

Required Qualifications

• Proven hands-on experience building modern web applications and enterprise user interfaces.
• Experience ideally within financial services, capital markets or enterprise scale data environments in a related industry.
• Experience working with AI, building agentic AI workflows or integrating AI agents.
• Exposure to AI-driven products, LLM applications, or agentic AI platforms such as LangGraph, LangSmith, Strands SDK, or Agent Core.
• Strong experience with React.js, Angular and TypeScript.
• Cloud experience with AWS
• Solid understanding of modern frontend architecture, component design, state management, and application structure.
• Experience integrating frontend applications with REST APIs and external services.
• Experience working with modern testing frameworks and writing automated frontend tests.
• Experience building reusable component libraries and design systems.
• Strong focus on usability, user experience, and visual quality.

Nice to Have

• Experience building conversational user interfaces or AI-assisted workflows.
• Experience with data visualisation frameworks and dashboard development.
• Experience supporting production applications and CI/CD pipelines.

What We're Looking For

A self-driven UI Engineer who is passionate about building elegant, intuitive user experiences and enjoys working closely with product, design, and engineering teams. Someone who can translate complex business and AI-driven workflows into simple, scalable, and highly usable interfaces, while maintaining high engineering standards and frontend best practices.

We're currently working with an Investment Bank based in Warsaw for a Site Reliability Engineer position within a global Markets Technology environment, where you’ll have a genuine opportunity to influence the reliability, resilience and performance of critical production platforms rather than simply keeping the lights on.

Key Responsibilities
    • Provide support for critical production applications and services within the Markets Technology environment.
    • Own and manage production incidents through to successful resolution, minimising business impact.
    • Conduct root cause analysis and implement long-term solutions to prevent recurring issues.
    • Drive automation initiatives to reduce manual operational effort and improve service reliability.
    • Improve monitoring, observability and alerting capabilities across the technology estate.
    • Partner with development, infrastructure and platform engineering teams to enhance system stability and performance.
    • Support capacity planning, resilience testing and performance optimisation activities.
    • Contribute to continuous improvement initiatives and the adoption of SRE best practices.
    • Participate in on-call and out-of-hours support for high-priority production incidents when required.

Essential
    • Proven experience as a Site Reliability Engineer, Production Engineer, Platform Engineer or Senior Application Support Engineer.
    • Strong experience supporting large-scale, business-critical applications in complex enterprise environments.
    • Strong Linux/Unix knowledge.
    • Hands-on scripting and automation experience using Python, Shell or similar technologies.
    • Experience with monitoring (Grafana/Prometheus), alerting and observability platforms.
    • Cloud platform experience (AWS, Azure or GCP).
    • Strong troubleshooting, analytical and problem-solving capabilities.
    • Experience managing major incidents and working within highly available environments.
    • Excellent communication skills and the ability to collaborate across global teams.

Desirable
    • Experience within Financial Services, Capital Markets or Investment Banking.
    • Murex support experience.
    • Exposure to DevOps practices, CI/CD pipelines and infrastructure automation.
    • Experience supporting high-volume or low-latency applications.

We are currently working with a leading global hedge fund that is expanding its European operations and opening a brand-new London office as part of a wider growth programme. They're looking for an experienced End User Support Engineer to support traders, senior stakeholders and the wider business.

The role will involve:

• 1st & 2nd line support across trading and business users
• Hardware, software and application troubleshooting
• Trade floor and end-user technology support
• Meeting room and AV support (Teams, Cisco, Logitech, Crestron)
• Managing and escalating critical incidents
• Working closely with infrastructure and global technology teams

Responsibilities:

• Identifying, diagnosing, researching, tracking and resolving complex technical problems 
• Escalating issues and facilitating user assistance from third parties or other IT groups as needed 
• Providing excellent customer service experiences for all end users, traders and senior leadership
• Working effectively in a cooperative and collaborative global team environment
• Escalating, coordinating and managing incident response for critical firm-wide issues
• Troubleshooting technology issues related to hardware, software, user accounts, trading environments, operating systems and mobility
• Engaging in technical collaboration with other Infrastructure groups and business IT teams as appropriate

They're particularly interested in candidates with experience across:

• Windows, MacOS and mobile device support
• M365 / Exchange
• Active Directory, DNS, DHCP and VPN
• MDM / BYOD environments
• Video conferencing and meeting room technologies
• High-touch support for front-office users and senior stakeholders

Key details:

• Brand-new London office
• Monday-Friday onsite (8am-5pm)
• Initial 12-month contract with strong extension potential

An exciting opportunity has arisen for a Senior DevOps Engineer to join a Front Office Financial Markets technology team supporting critical electronic trading and pricing platforms within a global banking environment.

Working at the heart of a low-latency, business critical trading ecosystem, you'll collaborate directly with Quant Developers, Front Office stakeholders, engineering teams and infrastructure specialists to drive platform reliability, automation and continuous improvement.

This position offers exposure to major transformation programmes including platform modernisation, DevOps evolution, new trading capabilities and large-scale data centre migration initiatives.

Key Responsibilities;

DevOps & Platform Engineering

• Support and enhance mission-critical electronic trading platforms.

• Design, build and improve CI/CD pipelines and deployment processes.

• Develop automation solutions for application deployment and operational activities.

• Manage software delivery from source control through to production deployment.

• Partner with development teams to implement DevOps best practices.

Operational Excellence

• Perform advanced troubleshooting and root cause analysis.

• Investigate production, infrastructure and performance-related issues.

• Enhance monitoring, observability and platform stability.

• Drive automation initiatives to improve operational efficiency.

Project Delivery

• Support platform modernisation programmes.

• Contribute to strategic infrastructure transformation initiatives.

• Participate in major data centre migration projects.

• Work on new development and quant-led technology initiatives.

Stakeholder Interaction

• Engage directly with Front Office users, Quant Developers and engineering teams.

• Translate business challenges into practical technical solutions.

• Provide technical recommendations and challenge assumptions where appropriate.

• Build strong relationships across business and technology teams.

Required Skills & Experience

Essential

• Strong DevOps or Platform Engineering experience.

• Linux / Unix administration and troubleshooting expertise.

• CI/CD pipeline design, implementation and support.

• Azure DevOps (ADO).

• YAML pipeline development.

• Scripting experience using Python, Shell or Bash.

• Ansible, Puppet or similar automation/configuration management tools.

• Production support and incident investigation experience.

• Root cause analysis and problem-solving capability.

• Jenkins, Git, Jira and Confluence.

• Release and deployment management experience.

• Strong understanding of on-premise infrastructure environments.

Desirable

• Financial Markets, Investment Banking or Electronic Trading experience.

• Experience working with Quantitative Development teams.

• Low latency systems knowledge.

• Azure and/or AWS exposure.

• Monitoring tools such as Splunk, ELK Stack or Prometheus.

• Data centre migration experience.

• Background in SRE, Production Support or Infrastructure Engineering.