IT Manager & Cyber Security Specialist

London
1 month ago
Applications closed

Related Jobs

View all jobs

Digital Operations Manager, IT Manager, IT Support Manager

Technical Lead

Operational Technology Engineer

Power BI Specialist

IT Project Manager

PowerApps Developer (Engineering, Construction)

Our Client based in London ( London Branch of a Global Bank) seeking an IT & Cyber Security Specialist / IT Manager to oversee the Bank’s IT infrastructure, cybersecurity compliance, disaster recovery, and IT governance. This role requires both strategic planning and hands-on technical expertise to maintain network security, Windows Server environments, virtualization, cloud infrastructure, and business continuity planning (BCP/DR).

The ideal candidate will have a strong technical background in IT operations, Windows erver administration, VMware ESXi, Azure, firewall security, and IT risk management, ensuring the stability, security, and efficiency of the Banks IT environment.

Key Role and Responsibility

  1. IT Infrastructure & Network Management

  • Windows Server & Virtualization: Manage and maintain Windows Server (2012/2016/2019), Active Directory, Group Policy, DNS, DHCP, and VMware ESXi environments.

  • Network Administration & Security: Oversee firewalls (Cisco, Fortinet), VPNs, VLAN configurations, and network security policies to ensure a secure IT environment.

  • Cloud Services & Microsoft 365: Manage Azure AD, Microsoft 365, Exchange Online, OneDrive, and SharePoint, ensuring smooth cloud operations.

  • IT Asset Management: Oversee procurement, lifecycle management, and documentation of IT hardware and software.

  1. Cybersecurity & IT Governance

  • Security Compliance & Risk Management: Align IT security frameworks with PRA, FCA, GDPR, ISO 27001, and NIST guidelines.

  • Threat & Incident Management: Conduct regular risk assessments, penetration testing, vulnerability scanning, and incident response to mitigate cyber threats.

  • Firewall & Network Security: Configure, monitor, and secure firewalls and intrusion detection systems (IDS/IPS) to prevent security breaches.

  • Third-Party Risk Management: Evaluate and manage outsourced IT services and vendor security compliance.

  1. Business Continuity & Disaster Recovery (BCP/DR)

  • Backup & Recovery Strategy: Implement and maintain BCP & DR plans, ensuring data integrity through Veeam, Commvault, or equivalent backup solutions.

  • Failover Network & Redundancy: Ensure network failover solutions (Leased Line+ FTTP redundancy) are in place to maintain uptime.

  • IT Resilience & Disaster Simulation: Regularly test DR plans and conduct IT continuity drills to minimize downtime risks.

  1. IT Operations & End-User Support

  • Helpdesk & IT Support: Provide 1st, 2nd, and 3rd-line IT support, resolving user issues related to Windows, networking, and applications.

  • Onboarding & Offboarding: Manage system access, permissions, and ID provisioning for new employees.

  • IT Documentation & SOPs: Maintain comprehensive IT policies, security procedures, and compliance documentation.

  1. Vendor & Project Management

  • IT Budget & Procurement: Assist in managing the IT budget, sourcing new technologies, and handling vendor negotiations.

  • IT Infrastructure Projects: Lead server upgrades, security enhancements, cloud migrations, and infrastructure expansion.

    Qualifications & Requirements

    Essential Qualifications:

  • 3+ years of experience in IT infrastructure, cybersecurity, and business continuity.

  • Expertise in Windows Server (2012/2016/2019), Active Directory, Group Policy,DNS, DHCP.

  • Experience with virtualization (VMware ESXi, Hyper-V) and cloud services (Azure, Microsoft 365).

  • Hands-on experience with firewalls (Cisco, Fortinet), VPNs, IDS/IPS security, and network administration.

  • Strong PRA, FCA, GDPR, ISO 27001, and NIST compliance knowledge.

  • Experience in BCP/DR planning, backup strategies (Veeam, Commvault), and IT risk management. ·

  • Strong troubleshooting and problem-solving skills. ·

  • Fluent English communication skills (both written and verbal).

    Desirable Qualifications:

  • Microsoft Certified System Engineer (MCSE), Microsoft Certified Professional (MCP), Cisco Certified Network Administrator (CCNA).

  • Experience implementing Zero Trust security frameworks and SIEM solutions (Splunk, Sentinel, ELK Stack).

  • Financial sector IT security experience is a plus

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.