Job Title: Service Desk Analyst

Ready to take your career to the next level?

We’re one of the UK’s most forward-thinking law firms, built on a foundation of innovation, collaboration, and ambition. Join us, and let’s shape the future together.

* We are in a period of exclusive direct sourcing for this role and are not currently accepting applications from recruitment agencies.

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The role in 60 seconds

• Role: Service Desk Analyst
• Team: IT Service Desk – Foot Anstey McKees
• Location: Belfast (office based)
• Working Pattern: Full time
• Why this role matters: You will play a key role in delivering consistent, high-quality IT support aligned with service expectations and business needs across the firm.

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What you’ll do

In this role, you’ll:

• Provide high‑quality technical support and guidance to more than 700 colleagues across Foot Anstey and Foot Anstey McKees.
• Log, manage, and resolve incidents and service requests within agreed SLAs, escalating to internal or external specialists where required—while remaining the primary point of contact throughout the process.
• Support the smooth day‑to‑day operation of the firm’s technology estate, including laptops, software, printers, and mobile devices.
• Work collaboratively with 3rd‑line infrastructure and application support teams to maintain, improve, and support all core infrastructure services, contributing to maintenance and service improvement activities.
• Operate within the ITIL framework across incident, problem, change, knowledge, and asset management processes.
• Take ownership of the incident lifecycle from initial logging through to full resolution and communication.

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What we’re looking for

We’re seeking someone who thrives in a fast-paced, client-focused environment and brings:

• A high level of customer service skills, working collaboratively as part of a busy, close-knit team. Equally, you need to be happy to work with autonomy, taking responsibility for your own workload and seeing things through to conclusion.
• Proven technical knowledge and a track record of providing high quality 1st and 2nd line support via an IT Service Desk.
• A solid understanding of modern technical infrastructure and the technologies commonly used within businesses, including Azure, Microsoft 365, Intune, and core Cyber and Information Security principles and controls.
• Experience of working with and providing support for the full range of Microsoft 365 business productivity tools.
• Strong organisational and prioritisation skills with the ability to take responsibility for multiple jobs simultaneously.
• Self-motivated individual who gains satisfaction from providing excellent customer service.
• The ability to use initiative and thinking in everyday problem solving.
• The capability to work well to deadlines and keep calm under pressure.
• *Willingness to travel on occasion to our Bristol office (funded by the firm) for initial training, and team days when required.

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Join a seriously ambitious firm

At Foot Anstey McKees we’re committed to making a difference for our people, our clients, and society. Here’s what makes us stand out:

• An ambitious growth strategy that opens up opportunities for our people to make their mark.
• A client base that spans household names, thriving startups, and ambitious enterprises.
• A culture built on our values of being refreshingly human, entrepreneurial, inclusive and collaborative.
• A strong focus on being a responsible business with a commitment to sustainability and giving back to our communities.
• Comprehensive professional development and training – whatever your role and level we have training that will support you to achieve your goals.
• In June 2025 McKees joined forces with Foot Anstey enabling us to better support our clients and create more opportunities for our employees.

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Progressive benefits tailored to you

• We believe our people are our greatest asset. That’s why we offer a comprehensive benefits package designed to support your professional growth and personal wellbeing.

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Ready to apply?

• Hit the "Apply Now" button.
  • Send us your CV and a quick note on why this role is perfect for you.
  • Our team will review your application and be in touch, whatever the outcome.
• Invited for interview?
  • With a straightforward process typically involving two interviews, our talent acquisition team will guide you through every step, ensuring you feel confident and prepared to show us what you can do.
  • We’re here to support your individual needs. If you require any adaptations or adjustments, we’re more than happy to accommodate these. Before your interview, we’ll contact you to discuss the themes we’ll cover and answer any questions you might have.
  • If you’d like to visit our offices prior to your interview or would like help testing your kit for your virtual interview, just let us know.

Let’s make your next career move the start of something extraordinary.

The Vulnerability Analyst is responsible for performing security analysis of open source projects, facilitating the delivery of accurate and actionable security information. The successful candidate would be expected to engage with senior team members, assist with security research efforts and report to the Security Research Team Leads. This position will be based out of our Belfast, Northern Ireland office. Additionally, other duties may need to be carried out including, but is not limited to, quality review of vulnerability reports, development of internal tools and in-depth security research. These are dependent on performance and skills.

As a Vulnerability Analyst, your primary responsibilities are:
• Performing vulnerability analysis and documentation
• Engaging with senior security researchers
• Performing security research activities on both public and undisclosed vulnerabilities

Job Requirements:
• Degree in Computer Science / related field or proven willingness to learn
• Excellent written and oral communications skills
• Versatile and capable of working in a fast-paced agile environment
• Demonstrates initiative
• Excellent team collaboration
• Strong commitment to customers
• Understands the importance of strong processes and structured documentation

Skills & Experience:
• Awareness of Open Source, OWASP, networking concepts
• Understanding of existing threats & mitigation / remediation strategies
• Understanding of various operating systems and common applications
• Familiarity with security tools
• Understanding of detection & protection technologies (IDS/IPS/WAF)
• Demonstrates strong problem-solving abilities and can work independently

Desired Skills & Experience:
• Scripting experience (Various: Python /Perl/Java/Ruby etc)
• Understanding of various testing techniques including static & dynamic analysis, fuzzing
• Understanding of the Secure Development Lifecycle (security requirements, threat modelling, attack surface analysis)

Chief Information Security Officer (CISO), Belfast

The Role
We are seeking a strategic and hands-on Chief Information Security Officer (CISO) to lead and evolve the security function at TRG Screen, a global provider of market data and technology cost management solutions serving leading financial institutions including banks, asset managers, and hedge funds. The role spans both internal security — corporate IT policies, controls, and a remote workforce across the US, EU, UK, and India — and external security, protecting the products and solutions we deliver to clients. Reporting to the CTO and working closely with the Head of IT/Operations, the CISO will operate across a complex infrastructure encompassing AWS, Azure, and on-premises data centres.

This is a high-impact role with genuine ownership — you will set the security agenda for a growing global business, with the mandate and senior leadership backing to build the function on your own terms. The timing is significant: we are actively embedding AI into our products and operations, making this an opportunity to define how we approach AI security from the ground up, in a sector where data protection and client trust are paramount.

Key Responsibilities

• Security Strategy & Governance

• Define and execute the company’s information security strategy, roadmap, policies, and standards
• Define and enforce internal IT security policies, covering endpoint security, access management, and controls suited to a remote, globally distributed workforce
• Maintain and build upon our existing certifications (ISO 27001, SOC 2 Type II), and drive expansion of SOC 2 coverage across our full product portfolio
• Ensure compliance with GDPR and applicable data protection regulations across our EU and global client base, and support the organisation’s future pathway toward ISO 42001 for AI governance

• Application & Product Security

• Partner with Engineering to embed security into the software development lifecycle (SDLC)
• Provide guidance on secure architecture and development planning
• Oversee vulnerability management and remediation efforts
• Own the external security posture of our client-facing products and solutions, ensuring security is embedded from design through to deployment

• AI Security

• Define and implement a framework for securing AI-powered features and capabilities embedded within our products, including the security of AI agents, models, and associated infrastructure
• Govern the safe and compliant use of AI tools internally, including copilots and AI agents used by our workforce

• Client & Operational Security

• Oversee security aspects of client support operations, ensuring strong controls and responsiveness
• Act as a key escalation point for security-related client matters
• Support customer audits, security questionnaires, and due diligence processes

• Risk Management & Incident Response

• Identify, assess, and manage security risks across the business
• Lead incident response planning and execution
• Continuously improve detection and response capabilities

• Leadership & Collaboration

• Act as a trusted advisor to the CTO and broader executive leadership on security risks, strategy, and emerging threats
• Work in close partnership with the Head of IT/Operations, and collaborate across Product, Engineering, and Client teams globally to align security priorities with business objectives
• Build and scale security awareness across the organisation, including a remote and globally distributed workforce
• Grow and shape the security function over time, with the opportunity to build out direct reports as the function matures

What We’re Looking For

• 7–12 years of experience in information security, with demonstrated senior leadership (e.g., CISO, Director, or Head of Security) within a SaaS or technology environment
• Strong understanding of application security and secure software development
• Strong working knowledge of compliance frameworks including ISO 27001 and SOC 2, with hands-on experience managing or achieving these certifications; solid understanding of GDPR compliance across multiple jurisdictions
• Strong communication skills with the ability to engage both technical and non-technical stakeholders
• Experience securing complex, multi-cloud environments (AWS and Azure) alongside on-premises data centre infrastructure
• Awareness of AI security practices and risks, including securing AI-powered product features and governing internal AI tool usage
• Based in or with easy access to the US East Coast or UK/Ireland, comfortable leading remote teams across the US, EU, UK, and India, and willing to travel periodically to our offices in New York, London, or Belfast

What you’ll do

• Lead the design and build-out of cross-product data services for multiple product lines from one governed data plane.
• Define the “customer data plane” model: canonical customer identifiers, shared dimensions, and consistent facts used across products.
• Build and operationalize ingestion patterns for batch, streaming, and event data, with repeatable onboarding for new sources.
• Own the operational playbook for data reliability: data contracts, quality checks, lineage, monitoring, and incident response.
• Implement and run access methods that make data usable: curated datasets, secure query interfaces, and product-ready data APIs where needed.
• Productize customer-facing data products (datasets, metrics, exports, and feeds) with versioning, documentation, and clear ownership.
• Design data models that fit both operational systems (RDS) and analytics stores (columnar/OLAP), including performance and cost tuning.
• Ensure data products also power ML workflows: trusted training datasets, feature-ready outputs, and consistent definitions for decision-making.
• Enable AI automation by delivering reliable, low-latency, governed data products that can be used safely in automated workflows.
• Partner closely with product, engineering, and security stakeholders to align data products to roadmap priorities and customer outcomes.
• Raise the technical bar through architecture reviews, standards, and mentoring—while staying hands-on in key systems.

Required

• Significant experience building and operating production data platforms at scale, including on-call and operational ownership.
• Strong SQL skills and strong Python skills, used to build pipelines, services, and automation.
• Hands-on experience running cloud systems on AWS and Google Cloud (IaaS level: compute, storage, networking, IAM).
• Practical experience with both operational databases (RDS-style) and analytics stores (columnar/OLAP), including performance tuning.
• Strong data modeling ability, including schema evolution, conformed dimensions, and “one source of truth” metric definitions.
• Track record of delivering data products that other teams or customers depend on, with clear contracts and reliability expectations.
• Ability to make sound engineering tradeoffs across latency, accuracy, cost, and security without creating brittle complexity.
• Experience with lakehouse patterns and open table formats (or similar), including governance and table maintenance.
• Experience with orchestration and streaming systems used in production (batch + real-time), and managing backfills safely.
• Familiarity with ML data needs (training/serving splits, feature-ready datasets, evaluation datasets) and AI-adjacent workflows.

Preferred

• Experience building self-service data platforms (catalog, discoverability, access controls) used by multiple teams.
• Experience in regulated or security-sensitive environments, including retention, auditing, and data access controls.

Work model, location & travel

• Location: Belfast, UK
• Reports to: VP of Data Engineering
• Work model: Hybrid (details TBD)
• Collaboration hours: Flexible; overlap with UK and US time zones
• Travel: Minimal

What you’ll do 

• Design and build data pipelines and datasets supporting one or more product areas within an established, governed data platform.
• Implement ingestion patterns for batch, streaming, and event data, onboarding new data sources using existing frameworks and standards.
• Build and maintain reliable data pipelines with appropriate data quality checks, basic lineage, monitoring, and alerting.
• Develop curated datasets and views that are secure, discoverable, and ready for analytics, reporting, and downstream consumption.
• Contribute to customerfacing data products such as datasets, metrics, exports, or feeds, ensuring accuracy and clear documentation.
• Implement data models for both operational databases and analytics stores, following agreed modelling conventions and best practices.
• Support ML and analytics use cases by producing trusted training datasets and featureready outputs with consistent definitions.
• Optimize pipeline performance, cost, and reliability within defined architectural patterns.
• Collaborate with product managers, engineers, analysts, and security partners to deliver data solutions aligned to roadmap needs.
• Participate in oncall rotations and operational support for data services owned by the team.
• Contribute to technical discussions, code reviews, and continuous improvement of data engineering practices. 

Required 

• Solid experience building and operating production data pipelines and datasets in a cloud environment.
• Strong SQL skills and working Python experience for building data pipelines, transformations, and automation.
• Handson experience with cloud platforms (AWS or Google Cloud), including core services such as compute, storage, IAM, and networking.
• Experience working with both operational databases (e.g., RDSstyle systems) and analytics or columnar data stores. 

The Data Science group serves under the Black Duck Data Engineering organization as a center of excellence in data analysis, statistical interpretation, machine learning engineering, attribution analysis and operational metric review.

Our core purview is the application of historical data to drive future decision making, and to develop and maintain machine learning and analytical tools to improve service delivery and advise operational processes.

We also serve as mediators of meaning across Black Duck, and as custodians of a shared data ecosystem.

This ecosystem serves to empower data consumers to explore client-operational and service-ops data in more intuitive ways, and supports their ability to share and collaborate on best practices for using this data in truthful, responsible, ethical and efficient ways.

Our Values

• Trust: Our work has no value if it is not trusted by our colleagues/customers, or if our work is not respectable. We will always rather be late than incorrect.
• Collaboration: We have a “very specific set of skills”, however we should humbly respect the subject matter experts we work with in their fields of expertise; we’re experts shuffling bits around faster/better/smarter, but they do the real work.
• Results: For our work to have value, it must speed up, augment, or replace, a current decision making process, or to demonstrate a new product/operational opportunity. While the “value” of a result may not be known for a long time, we are still outcome-driven.
• Curiosity: Exploration and Experimentation is at the heart of what we do, and we empower each other with the freedom to explore, and possibly get lost in, longer term research projects than other groups. However, even those dead ends have value when they’re written up. (It’s not science unless you write it down)
• Fun: We’re in this business because we enjoy the strange and often incongruous world of data, and what that data can tell us about ourselves. Revel in the comedy of your mistakes and discoveries, and share them with abandon.

About the Role

As a Data Engineer/Scientist, you will be a custodian of our cross-functional data regime, and a driver of innovative uses of Data across our cybersecurity platforms, ranging from predictive analytics and customer behavioural analysis, through to training customised machine learning

models on continuously evolving feedback streams from data and decisions that really matter to our thousands of customers that rely on our security assessments for safety, stability, and often, sleep.

The ideal candidate is a self-starter who is enthusiastic about exploring new technologies. They also enjoy helping their peers and their organization remain at the forefront of our industry by identifying and helping implement the latest industry best-practices that boost our organization’s productivity and team members’ experience.

The role is primarily based around our Belfast R&D Site, but UK/EMEA remote or hybrid applicants will be considered. At least Quarterly travel to the Belfast R&D Site is expected, and additional travel / conference opportunities may be available depending on your impact and collaboration.

Key Responsibilities:

• Developing and maintaining analytical data pipelines from a range of sources, internal and external
• Participate in system design discussions and contribute to architectural decisions.
• Evaluating new analytical / technological opportunities for leveraging those data for security/business impact
• Leading projects from research through to production deployment and operational handover to appropriate teams
• Partnering with R&D and Engineering teams to develop and share best practices for data tooling, from pipelines and dashboards to ML and LLM integration

Key Qualifications:

• 5+ years of experience working in Data Science, AI/Data Engineering, Data Operations, DevOps, Business Analytics, or a related field
• BSc Or MSc in Computer Science, Data Science, Artificial Intelligence, Math, Physics, Engineering or related field/degree
• Experience in a relevant analytical programming language the point where you can build / deliver a project/module from scratch that can be used by others (Python is our main daily-driver, expert-level experience in Julia or Rlang could be accepted
•  Experience in Jupyter Notebook / equivalents
• Experience in Airflow, DBT, Databricks, or equivalent stacks
• Experience in the PyData / Spark or equivalent analytical stacks
• Familiarity with Cybersecurity Governance, Application Security Testing, Quality Assurance or similar
• Experience in data modelling and working with RDBMS (PostgreSQL, Oracle or MySQL) and knowledge of NoSQL databases (e.g. MongoDB)
• Experience with Machine Learning and AI systems
• Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
• Independent project operation and cross-functional collaboration
• Strong or Developing communication skills (in-person and remote)

Nice to have:

• Familiarity with Data Mesh/Data Product concepts
• Experience in operating in Linux Command line environments
• Experience in Langchain or equivalent Agentic development stack
• Experience in training custom Machine Learning models, including familiarity with evaluation criteria and metric design
• Experience in integrating AI capabilities into software systems, including prompt engineering, API integration, and leveraging LLM-based services for automation and productivity
• Experience in Enterprise Data Visualisation such as Power BI, Tableau, Grafana, DataBricks, Snowflake etc.
• Experience deploying ML/AI models in production environments/workloads
• Experience in developing/working within large enterprise applications using microservices architecture, and container orchestration technologies, running on Kubernetes and/or cloud technologies (AWS, Azure or GCP)
• Experience in software architecture, systems design, interaction design (to the point where you can have constructive conversations with security / architecture leaders)

Technical Program Manager – Software Engineering and Development

Black Duck Software is looking for a highly motivated Intermediate Technical Program Manager (aka: Software Engineering Project Manager) to join our Product Operations Team. In this role, you are responsible for managing the end-to-end delivery of product releases and projects that support our strategic goals. Essentially acting as a bridge between product development teams (developers, engineers) and business stakeholders.

You will work cross-functionally with teams including Engineering, Cybersecurity, Product, Marketing, Customer Success , and Field Operations You’ll own project planning and delivery from discovery through release, enabling teams to ship high-quality features on time and within scope. This role blends classic project management with Agile delivery and stakeholder leadership to ensure seamless planning, execution, and value delivery. The successful candidate is collaborative, detail-oriented, execution-focused, and thrives in a fast-paced, hybrid environment.

Key Responsibilities: 

• Define project scope, goals, deliverables, and KPIs in alignment with organizational objectives and stakeholder expectations.
• Create and manage integrated project plans, resource allocations, budgets, timelines, and risk mitigation strategies using modern tools (e.g., Jira, Confluence, and Smartsheet).
• Managing software development lifecycle (SDLC) or Agile/Scrum processes eglead Agile and hybrid project teams through iterative planning, sprint execution, backlog grooming, and continuous delivery cycles. [might these be more specific - Coordinating feature releases, sprints, and technical dependencies].
• Drive stakeholder engagement by facilitating effective communication, alignment, and transparency through regular reporting, status updates, and project reviews.
• Has deeper understanding of software architecture, APIs, cloud platforms, and DevOps practices. Eg can identify, escalate, and resolve risks, issues, and blockers that may impact scope, schedule, or quality.
• Communicates technical requirements and constraints effectively.
• Ensure compliance with organizational security, governance, and data privacy requirements across all IT components.
• Promote a culture of continuous improvement by implementing process enhancements, incorporating lessons learned, and introducing best practices in IT program delivery.0
• Provide mentorship and leadership to project team members, fostering professional development and knowledge sharing.

Key Requirements:  

• Bachelor's degree in Computer Science, Information Systems, Business, or a related field (or equivalent practical experience).

• 5+ years of progressive experience managing IT projects in mid-to-large-sized technology-driven environments. Or 5+ years managing software product projects in Agile environments (Scrum/Kanban); comfortable with hybrid Agile/Waterfall where needed.
• Proven ability to manage cross-functional technical projects involving infrastructure, SaaS/PaaS implementations, cybersecurity, and cloud platforms (e.g., AWS, Azure, Google Cloud). [and/or - Proven delivery across microservices/API, cloud platforms (e.g., Azure/AWS/GCP), and modern CI/CD workflows].
• Strong knowledge of Agile methodologies (Scrum, SAFe, Kanban) and experience leading Agile ceremonies; Scrum Master or Agile certification is a plus.
• Experience with change management and digital transformation initiatives.
• Excellent verbal and written communication skills, with the ability to interact effectively with both technical teams and executive leadership.
• Strong organizational and prioritization skills with attention to detail and a proactive approach to problem-solving.

Additional Requirements:

• Project Management certification (PMP, PMI-ACP, PRINCE2, or equivalent) is preferred. [and/or - Certifications: Agile/Scrum (PSM/CSM), Prince2/PMI, SAFe, ITIL, Azure/AWS Cloud, or Security (e.g., ISO27001 awareness)].
• Familiarity with modern cybersecurity frameworks and compliance standards (e.g., NIST, SOC 2, ISO 27001) and/or - Exposure to regulatory environments (e.g., GDPR, PCI-DSS) and secure-by-design delivery.

Business Insider is hiring a Cloud Engineer III to join our Cloud Engineering team dedicated to building and supporting scalable, secure and resilient infrastructure in AWS and other cloud providers.

Business Insider is for people who are driven, optimistic and always looking forward. Our mission is to inspire action through thought-provoking stories. We tell our audience what they want and need to know to improve their lives and the world with storytelling that is accessible, smart, sometimes unexpected, and always helpful. Our team members embody and uphold Business Insider’s three core values: we are all one team, we are effective, and we get better every day.

Our Cloud Engineering team is one of collaboration, innovation, and continuous improvement.

The Role & Team:

As a Cloud Engineer, you will contribute to the design, implementation, and optimisation of our cloud infrastructure, playing a pivotal role in the ongoing success of our tech teams, our writers and editors and the readership of the largest business news site in the world.

You will collaborate with cross-functional teams to ensure the effectiveness of our DevOps culture, troubleshoot application and system issues and add minimal complexity to monitor, deploy and scale our continuously growing environment.

This role reports directly to the Director of Cloud Engineering and sits on the Cloud Engineering Team. This role will be based in Belfast and offers an in office or work from home / hybrid opportunity. 

Key Responsibilities:

• Collaborate on the design and implementation of scalable and secure cloud infrastructure solutions on AWS.
• Managing and enhancing our global AWS services and infrastructure, adhering to security best practices.
• Working closely with cross-functional teams to foster an effective DevOps culture.
• Troubleshooting application and system issues in collaboration with feature team engineers, communicating status to the broader team.
• Implementing minimal complexity to monitor, deploy, and scale a continuously growing environment.

The Ideal Candidate Has:

• Demonstrable knowledge of building and supporting cloud applications at scale.
• A positive attitude and ability to contribute effectively to discussions.
• Professional experience with AWS and Elastic Kubernetes Service.
• A high degree of comfort in deploying cloud native applications using Terraform and Kubernetes and the ability to evaluate emerging technologies.
• Proficiency in coding in a modern programming language.
• Familiarity with DevOps practices and tools.

Salary & Benefits:

• Market leading salary (dependent on skills, experience, and competencies)
• Hybrid flexible working - our amazing City Centre office or your home, the choice is yours.
• 25 days annual leave + Bank Holidays
• Unrivalled culture and working environment with regular socials and company events
• Private Medical Insurance
• Health cash plan 
• Life assurance 
• Employee assistance programme
• Highly competitive family leave policies and access to our family benefits platform, Maven, offering support for employee preconception, pregnancy & postpartum.

Business Insider is committed to providing equal employment opportunities and, when making employment  decisions, does not discriminate based on race, ethnicity, gender, gender identity or expression, sex, sexual orientation, age, nationality or national origin, religion, disability, familial status, and military or veteran status. We encourage members of traditionally underrepresented groups to apply.

Business Insider is a subsidiary of Axel Springer SE, a family-owned transatlantic media company headquartered in Berlin and New York. Axel Springer is dedicated to shaping the future of journalism in the free world, believing that a free and informed society is essential to democracy. The company’s guiding principles – first articulated as The Essentials by founder Axel Springer in the aftermath of World War II – remain a cornerstone of the company’s foundation today. Learn more about Axel Springer.