business intelligence analyst

Lloyd's

<div><div>Lloyd&rsquo;s is the world&rsquo;s leading insurance and reinsurance marketplace. We share the collective intelligence and risk sharing expertise of the market&rsquo;s brightest minds, working together for a braver world.</div><div> 
Our role is to inspire courage, so tomorrow&rsquo;s progress isn&rsquo;t limited by today&rsquo;s risks.</div><div> 
Our shared values: we are brave; we are stronger together; we do the right thing; guide what we do and how we act. If you share our values and our passion to build a future that&rsquo;s more sustainable, resilient and inclusive, you&rsquo;ll find a home at Lloyd&rsquo;s &ndash; build a braver future with us.</div>
Lloyd&rsquo;s are recruiting a Data Scientist, Portfolio Analytics. You will deliver analytics, tools and insights to enable effective risk-based oversight and drive continuous improvement in market performance.
Principal Accountabilities
Work with the Senior Manager and colleagues in Portfolio Analytics to develop methodologies, tools
 
and controls that allow Lloyd&rsquo;s to efficiently and effectively oversee the market.
Lead analytical and data related projects that help manage the performance of the Lloyd&rsquo;s market
Develop new methods for understanding performance to enable better forward-looking
 
assessments.
Develop methods of measuring and targeting a sustainable portfolio mix for Lloyd&rsquo;s taking into account risk vs reward and the Market&rsquo;s strategic direction. Drive increased insight of Lloyd&rsquo;s portfolio composition and identify areas for oversight and opportunity through quantification, modelling and original analysis and further development of the Lloyd&rsquo;s Model Portfolio.
Help Portfolio Analytics to become to go to place for data and analytics in Markets.
Act as data subject matter expert for the market data returns used by Underwriting to assess
 
performance. Leads on initiatives to improve data quality, insight, alignment and rationalisation across Underwriting.
Manage and lead the automation of quarterly BAU processes.
Risk Based Oversight &ndash; which analyses performance trends by class of business.
Quarterly Business Review &ndash; which analyses performance by Syndicate.
PIP Triage &ndash; which analyses underperforming classes.
Underwriting Risk Appetite reporting which monitors whole market performance.
MI for Markets Executives
Contribute to cross-functional collaboration, in particular with Finance, Predictive Analytics, Capital
 
and Data.
Skills Knowledge and Experience
Relevant work experience in an analytical role in insurance or regulatory environment.
Engagement with senior stakeholders and managing expectations.
Driving change, building models, introducing controls, improving processes, implementing systems,
 
encouraging adoption and working cross functionally.
Project management.
Data manipulation and analysis in R and or Python.
Building visualisation tools such as Qliksense, Tableau and/or Power BI.
Intermediate to advanced experience in data management tools such as Business Objects, SQL.
Intermediate to advanced knowledge of statistical and data science techniques including modern statistical languages.
Ability to structure and distil technical information concisely and clearly and explain to a variety of
 
stakeholders.
Communication and stakeholder management skills.
Problem solving &amp; decision making.
High attention to detail.<div> 
Diversity and inclusion are a focus for us &ndash; Lloyd&rsquo;s aim is to build a diverse, inclusive environment that reflects the global markets we work in. One where everyone is treated with dignity and respect to achieve their full potential. In practice, this means we are positive and inclusive about making workplace adjustments, we offer regular health and wellbeing programmes, diversity and inclusion training, employee networks, mentoring and volunteering opportunities as well as investment into your professional development. You can read more about diversity and inclusion on our website.</div><div> 
We understand that our work/life balance is important to us all and that a hybrid of working from the office and home can offer a great level of flexibility. Flexible working forms part of a total reward approach which offers a host of other benefits over and above the standard offering (generous pension, healthcare, wellbeing etc). These include financial support for training, education &amp; development, a benefit allowance (to spend on our flexible benefits such as gym membership, dental insurance, extra holiday or to partake in our cycle to work scheme), employee recognition scheme and various employee discount schemes.</div><div>
By choosing Lloyd's, you'll be part of a team that brings together the best minds in the industry, and together with our underwriters and brokers, we create innovative, responsive solutions allowing us to share risk and solve complex problems.</div>
Should you require any additional support with your application, or any adjustments, please click the following link;
https://cleartalents.com/apply/lloyds-msa1645695881<h3 class="jobSectionHeader">
Please note, clicking on this link does not register your application for the vacancy</h3></div>

Data Scientist (Portfolio Analytics)

Accenture

<div>YOU ARE
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps &amp; MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.
THE WORK<ul><li>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</li><li>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</li><li>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</li><li>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</li><li>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</li><li>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</li><li>
Justify the value of model approaches in business problems</li><li>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related field</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Work or coursework experience with machine learning engineering or machine learning science, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</li><li>
Work or coursework experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</li></ul>
PREFERRED QUALIFICATION<ul><li>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..</li><li>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</li><li>
Experience with the following programming languages: Python, C++, Java, R, SQL</li><li>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</li><li>
Strong client-facing skillsets in a consulting environment</li><li>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</li><li>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</li></ul></div>

AI/ML Computational Science Senior Analyst

JaJa Finance Ltd

<div>About Jaja

Our Mission: Empowering our customers to buy, borrow, and build&mdash;driven by tech, fuelled by data, and built for the future.

Our Company Values: Care Deeply, Adapt &amp; Thrive, Challenge everything, Go for it! Own it, Make it Simple 
Jaja is an innovative UK based consumer finance business, leading initially with a digital credit card launched in 2018, and a pipeline of consumer finance solutions in the making. 

We are on a mission to redefine the consumer finance experience and liberate customers from needless complexity, wasted time and frustration. Or as we say it, Make Simple. 

We will delight our customers &ndash; making the customer experience simpler, more enjoyable, more intelligent &ndash; treating customers fairly and giving them more control of their money. 
Why Join Us?

This is a chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever.

We have a collaborative team structure fueled by an exciting mix of people, welcoming experienced people from the industry with both feet on the ground and tech-savvy dreamers who pave way for the new stuff. Come as you are and be yourself! 
About The Role

This role requires a hybrid skillset across data modelling and stakeholder management. The role works closely with tech teams and business teams to deliver and maintain data assets in Snowflake, adhering to best practice and ensuring business continuity. The ideal candidate will bring a proactive and collaborative approach to data operations with an interest in learning new skills to support the team&rsquo;s delivery. 


Key responsibilities
<ul>
<li>Supporting the delivery of new data models in a modern technology stack</li>
<li>Collaborating with stakeholders from different business areas to understand their requirements and provide appropriate solutions</li>
<li>Developing existing data models in line with product and engineering</li>
<li>Upholding the data governance standards</li>
<li>Supporting the BI and Analytics teams with key data sources required for their deliveries</li></ul> 


About You 

Essential
<ul>
<li>SQL knowledge (including CTEs and window functions) with experience of writing performant queries preferably in Snowflake</li>
<li>Using transformation tools, we use Coalesce.io but DBT would also set you up for success</li>
<li>Modelling structured and unstructured data</li>
<li>Ability to work in a fast-paced dynamic environment ideally in a start-up/ scale-up</li>
<li>Strong problem solving and attention to detail</li>
<li>Excellent communication and collaboration skills</li></ul> 


Desired
<ul>
<li>Experience with data quality frameworks</li>
<li>Familiarity with finance, credit and associated reporting</li>
<li>Experience of working with Product and Engineering teams</li>
<li>Knowledge of testing standards and version control</li>
<li>Experience with orchestration</li></ul> 
 
 
What's in it for you?
<ul>
<li>The chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever</li>
<li>Competitive salary</li>
<li>Pension contributions, including Salary Exchange facility</li>
<li>Annual bonus potential</li>
<li>Private medical cover provided by Vitality (optional benefit)</li>
<li>25 days annual leave (FTE) plus UK bank holidays (with an additional day added for each full calendar year worked, up to a maximum of 30 days).</li>
<li>Your birthday off each year as an additional day's holiday</li>
<li>4x life insurance cover</li>
<li>Access to our confidential Employee assistance programme</li></ul></div>

Analytics Engineer

MarketCast

<div>
 
 Junior Data Scientist - Product
 
 
 
 
 London, UK, Reading, UK
 
 
 
 
 Role Impact
 
 
 
 As our Junior Data Scientist - Product, you'll be a pivotal player on our Data Science Product Team, which currently comprises about 15 data scientists with varying levels of seniority.
 
 
 The Junior Data Scientist - Product plays a foundational role in supporting the design, engineering, execution, and delivery of advanced data science projects and market research products at Marketcast. Operating at the intersection of quantitative market research, software engineering, and artificial intelligence, this position focuses on building the backend systems and data pipelines that clean, process, and analyse complex datasets to extract actionable consumer insights. On a daily basis, the Junior Data
 
 
 Scientist assists in writing production-quality code, developing and maintaining data pipelines, implementing machine learning models, and translating analytics into robust, reusable product features under senior guidance. By ensuring high data quality, engineering rigour, and contributing to innovative product features, this individual directly enhances the reliability and scalability of the organisation's media and entertainment analytics.
 
 
 
 We're Looking For
 
 
 
 <ul>
 <li>
 Data Engineering and Pipeline Development &ndash; Design, build, and maintain reliable data pipelines that clean, preprocess, and structure complex quantitative datasets using Python, SQL, pandas, and modern data tooling. This technical processing is performed systematically and reproducibly, with an emphasis on well- structured, version-controlled, and testable code to prepare raw survey and consumer data for downstream statistical models. Ensuring clean inputs and resilient pipelines directly prevents model drift and maintains the reliability of product outputs. Success in this responsibility is defined by the timely delivery of error-free, analytical-ready, and maintainable data pipelines to senior data scientists.
 </li>
 <li>
 Quantitative Analysis &amp; Modelling - Assist in executing statistical analyses, regression modelling, and audience segmentation under the guidance of senior team members, with a strong emphasis on mathematical rigour and a sound understanding of the methods being applied rather than their black-box use.
 </li>
 <li>
 Backend &amp; Software Development - Contribute to the backend services, APIs, and codebases that power our data products, writing clean, tested, and well-documented code under senior guidance. The analyst works within standard software engineering practices - version control, code review, automated testing, and CI/CD - to ship features that are reliable and maintainable rather than one-off scripts. This software-first approach ensures our analytical work translates into durable product infrastructure. Success is measured by code quality, adherence to engineering standards, and the stability of contributions in production.
 </li>
 <li>
 Infrastructure &amp; Deployment - Support the deployment, monitoring, and scaling of data science workloads across our cloud and infrastructure stack (e.g. containers, orchestration, and managed cloud services) under supervision. The analyst helps operationalise models and pipelines so they run reliably and cost-effectively at scale, contributing to the team's MLOps and engineering practices. This focus on robust infrastructure reduces manual intervention and improves the reliability of our products. Performance is evaluated on the stability, reproducibility, and efficiency of deployed workloads.
 </li>
 <li>
 AI &amp; LLM Integration - Support the integration of artificial intelligence APIs, large language models (LLMs), and natural language processing pipelines into existing data products. Under supervision, the analyst helps configure frameworks to streamline analytical workflows, saving dozens of hours of manual coding on client projects. Performance is evaluated on the efficiency, robustness, and classification accuracy of the automated NLP routines.
 </li>
 <li>
 Data Quality &amp; Validation - Execute rigorous quality control protocols across all assigned data products and research databases, including automated tests and validation checks wherever possible. The Junior Data Scientists systematically validate schemas, sample distributions, and statistical weights to verify data integrity, treating data validation as an engineering discipline. This preventative auditing mitigates the risk of reporting flawed conclusions to high-profile entertainment clients. Successful execution is measured by the complete absence of formatting or calculation errors in final delivery files.
 </li>
 <li>
 Client Collaboration &amp; Technical Delivery &ndash; Work closely with product managers, engineers, and senior data scientists in a collaborative, software-development style &ndash; gather requirements, contributing to technical scoping, and participating in agile ceremonies and code reviews.
 </li>
 <li>
 Cross-Functional Initiative Support - Participate actively in company-wide product development initiatives, research-on-research experiments, and technical thought leadership groups. The Junior Data Scientist collaborates across data operations, cloud engineering, product, and engineering departments to support the trial of new analytical and engineering methodologies. This cross-pollination of ideas ensures the product data science team remains at the forefront of marketing science and technical innovations. Engagement in these initiatives is demonstrated by active participation in internal sharing sessions and support for pilot projects.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 We genuinely don&rsquo;t mind what is written on your certificate. While we would love you to have a formal qualification in any discipline that builds strong analytical and problem-solving skills, we primarily care that you're clever, rigorous, and can do the job. Equivalent practical experience - whether self-taught, through bootcamps, open-source contributions, a strong portfolio, or prior industry work - is just as welcome as a formal degree.
 </li>
 <li>
 A successful applicant must demonstrate solid programming ability (Python and ideally SQL) and an interest in writing good, maintainable software - not just scripts.
 </li>
 <li>
 A successful applicant must further demonstrate a genuine appetite for technical depth, mathematical rigour, and continuous learning.
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 MarketCast measures what moves people. Powered by AI, trained on decades of verified consumer response data, and backed by proprietary technology, MarketCast is the marketing effectiveness partner for the world's most ambitious brands, connecting emotional resonance to real-world business outcomes across advertising, sponsorships, content, brand health, and advanced analytics. With category-deep expertise spanning sports, entertainment, travel, automotive, and consumer brands, our team of
 
 
 seasoned industry strategists brings unmatched human intelligence to every engagement, turning complex data into decisive action so brands know exactly what's working, why it's working, and what to do next.
 
 
 At MarketCast, we don't just accept difference - we embrace it, support it, and thrive on it for the benefit of our global culture and success. MarketCast is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. Check us out on LinkedIn and at: www.marketcast.com
 
 
 
 Our Values
 
 
 
 
 Move The Needle
 
 
 
 We turn insight into action and action into impact, acting with urgency and intention at every level, anticipating what's needed, executing with discipline, and driving outcomes that are measured and meaningful.
 
 
 
 Client Success is Our Scoreboard
 
 
 
 We win when our clients win. Delivering scaled, tech-enabled solutions that drive measurable impact and value to build lasting partnerships.
 
 
 
 Grow Every Day
 
 
 
 Expertise is earned continuously by investing in our craft, our colleagues, and our company.
 
 
 
 Own It
 
 
 
 Take responsibility for outcomes, not just outputs.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Free movie tickets!
 </li>
 <li>
 29 days annual leave PLUS Bank Holidays
 </li>
 <li>
 Flextime with core hours between 10am and 3pm
 </li>
 <li>
 2 days&rsquo; work from home per week
 </li>
 <li>
 4% match pension scheme
 </li>
 <li>
 Enhanced maternity pay
 </li>
 <li>
 Regular social events in both UK locations
 </li>
 <li>
 Professional growth and career development including LinkedIn Learning
 
 
 </li>
 </ul>
 In addition to your salary, MarketCast believes in providing a competitive total rewards package for its employees. All benefits are subject to eligibility requirements, and the terms of our official plan may be modified or amended from time to time.
 
 
 GENERAL DATA PROTECTION REGULATION (UK GDPR) NOTICE: The organisation collects and processes personal data relating to its applicants, employees and former employees to manage pre-employment and employment relationships and post-employment obligations. The organisation is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations. For further information on the information we collect, how it&rsquo;s used, and how it's protected, please contact the MarketCast UK HR Team.
</div>

Junior Data Scientist I

<div><h2 class="jobSectionHeader">Description</h2>
<div>
The Principal Microsoft Defender XDR, IRM &amp; Deception Engineer, working within the Global Information and Cyber Security Defence (ICSD) function, is the technical leader for enterprise cyber deception and unified detection and response across the Microsoft security ecosystem. The role focuses on building, operating, and continuously evolving an enterprise-grade Insider Risk Management (IRM) and deception programme - including honeypots, honeytokens, decoy users, decoy devices, deceptive credentials, and breadcrumbs - fully integrated with Microsoft Defender XDR (Defender for Endpoint, Defender for Identity, Defender for Office 365, and Defender for Cloud Apps), Microsoft Sentinel, and Microsoft Security Copilot.

The role exists to detect adversaries earlier in the kill chain by deceiving attackers into engaging with high-fidelity traps, while delivering unified detection, automated investigation, and response across endpoint, identity, email, and cloud workloads. It combines deep deception engineering expertise with hands-on Defender XDR mastery and the use of Agentic AI to drive proactive, intelligence-led, and largely autonomous security operations.

The Role:
<ul>
<li>Deception Engineering Leadership<ul>
<li>Own and lead the enterprise cyber deception programme end-to-end, including strategy, architecture, deployment, operations, and continuous improvement.</li>
<li>Design, deploy, and operate a layered deception fabric across on-premises, hybrid, and multi-cloud environments using honeypots, honeytokens, decoy accounts, decoy devices, deceptive files / shares, and breadcrumbs.</li>
<li>Act as the technical authority for deception engineering and Microsoft Defender XDR across the enterprise.</li>
</ul></li><li>Honeypots, Honeytokens, Decoys &amp; Breadcrumbs<ul>
<li>Design and operate the full deception asset lifecycle, ensuring high-fidelity, low-noise detections that are realistic, attacker-grade, and resilient to evasion.</li>
<li>Deploy and manage Microsoft Defender for Identity deceptive accounts, deceptive devices, and honeytoken accounts across Active Directory and Microsoft Entra ID.</li>
<li>Build and maintain a portfolio of deception assets, including:<ul>
<li>Honeypot systems (low-, medium-, and high-interaction) across on-prem, Azure, AWS, GCP, and OCI</li>
<li>Honeytoken credentials, API keys, OAuth tokens, secrets, and SaaS accounts</li>
</ul></li><li>Decoy users, decoy devices, decoy shares, decoy files, and decoy databases<ul>
<li>Plant attacker-grade breadcrumbs across endpoints, identities, and cloud workloads, including:</li>
<li>Saved credentials, browser cookies, RDP and SSH artefacts</li>
<li>LSASS-resident credentials and cached tokens on selected lures</li>
<li>Fake Kerberos service accounts and SPNs to bait Kerberoasting and AS-REP roasting</li>
</ul></li><li>Continuously evolve deception techniques, lure design, and trap placement aligned to current attacker TTPs, red-team findings, and breach intelligence.</li>
<li>Govern the deception programme with clear standards for asset realism, segmentation, monitoring, and safe operation (no production impact).</li>
<li>Validate deception coverage through red-team, purple-team, and breach-and-attack simulation (BAS) exercises.</li>
</ul></li><li>Microsoft Defender XDR Leadership<ul>
<li>Lead the design, implementation, and optimisation of Microsoft Defender XDR across endpoint, identity, email, and cloud-app workloads.</li>
<li>Integrate all deception signals (honeypot, honeytoken, decoy, breadcrumb) into Defender XDR and Microsoft Sentinel as first-class, high-fidelity detections.</li>
<li>Define and enforce a unified detection and response strategy across the Microsoft security stack.</li>
</ul></li><li>Defender for Identity &amp; Identity Deception<ul>
<li>Lead operation and optimisation of Microsoft Defender for Identity (MDI) to detect identity-based attacks, including:<ul>
<li>Credential theft, Kerberoasting, AS-REP roasting, Pass-the-Hash, and Pass-the-Ticket</li>
<li>Lateral movement, reconnaissance, and privilege escalation</li>
<li>Misuse of deceptive / honeytoken accounts as early-warning tripwires</li>
</ul></li><li>Integrate MDI, deception, and Microsoft Entra ID signals into Defender XDR, Microsoft Sentinel, and SOAR workflows for unified investigation and response.</li>
</ul>
</li><li>Data Protection, DLP &amp; Insider Risk Management
<ul>
<li>Lead the design and implementation of Microsoft Purview Data Loss Prevention (DLP) policies across endpoints, cloud apps, and collaboration platforms</li>
<li>Define and enforce data protection controls to prevent unauthorised data exfiltration and misuse</li>
<li>Leverage Microsoft Insider Risk Management (IRM) to detect risky user behaviour, including data leaks, policy violations, and insider threats</li>
<li>Correlate DLP, IRM, and identity signals with Microsoft Defender XDR to provide unified incident context</li>
<li>Collaborate with Risk, Compliance, and Legal teams to align DLP and insider risk controls with regulatory and business requirements</li>
<li>Continuously optimise detection use cases combining identity, data, and behavioural analytics</li>
</ul></li><li>Endpoint, Email &amp; Cloud App Detection<ul>
<li>Lead detection engineering across the Defender XDR stack, ensuring deception assets are continuously monitored alongside production telemetry:</li>
<li>Microsoft Defender for Endpoint (MDE) - EDR policies, ASR rules, and decoy-device monitoring</li>
<li>Microsoft Defender for Office 365 (MDO) - anti-phishing, Safe Links, Safe Attachments, and honeytoken inboxes</li>
<li>Optimise automatic attack disruption, automated investigation and response (AIR), and self-healing capabilities to:<ul>
<li>Disrupt in-progress attacks at machine speed, including deception-triggered intrusions</li>
<li>Reduce analyst workload through high-confidence automation</li>
<li>Improve coverage for ransomware, BEC, and identity-based attacks</li>
<li>Ensure consistent telemetry ingestion and detection parity across Windows, macOS, Linux, mobile, and deception assets.</li>
</ul></li></ul></li><li>Multi-Cloud Deception &amp; Detection (AWS, GCP, OCI)<ul>
<li>Extend the deception programme and Defender-style detection capabilities consistently across AWS, GCP, and OCI, including:</li>
<li>Cloud honeypots, decoy IAM roles, and honeytoken cloud credentials / API keys</li>
<li>Control-plane, workload, container, and Kubernetes threat detection</li>
<li>Cross-cloud identity and access misuse detection</li>
<li>Ensure consistent detection, deception, and response coverage across hybrid and multi-cloud environments.</li>
</ul></li><li>Automation, Agentic AI &amp; Continuous Improvement<ul>
<li>Drive automation of deception deployment, detection, investigation, and response workflows using Microsoft Sentinel SOAR, Logic Apps, and Microsoft Security Copilot.</li>
<li>Define KPIs and metrics covering deception engagement, detection coverage, and response maturity.</li>
<li>Continuously improve detection, hunting, and deception capabilities to align with emerging threats and adversary tradecraft.</li>
</ul></li><li>Stakeholder Engagement &amp; Technical Leadership<ul>
<li>Lead and grow a team of Defender XDR and Deception Engineers, setting technical direction, standards, and delivery priorities.</li>
<li>Partner with SOC, CTI, Identity, Cloud, and Engineering teams to embed deception and Defender XDR detection into all enterprise platforms.</li>
<li>Provide mentorship and leadership to deception engineers, detection engineers, threat hunters, and SOC analysts.</li>
<li>Communicate deception strategy, detection coverage, residual risk, and security improvements to senior stakeholders.</li></ul></li></ul> 


</div><h2 class="jobSectionHeader">Qualifications</h2>
<div>
What you'll bring:

Required Skills &amp; Experience:
<ul>
<li>Proven experience designing and operating enterprise cyber deception programmes (honeypots, honeytokens, decoy users, decoy devices, breadcrumbs) at scale.</li>
<li>Extensive hands-on experience operating and engineering Microsoft Defender XDR (MDE, MDI, MDO, MDA) in large enterprises.</li>
<li>Deep expertise across the Microsoft security stack, including:<ul>
<li>Microsoft Defender for Identity (MDI) deceptive accounts, deceptive devices, and honeytokens</li>
<li>Microsoft Sentinel (analytics rules, workbooks, hunting, SOAR)</li>
<li>Microsoft Security Copilot, automated investigation &amp; response, and attack disruption</li>
<li>Microsoft Defender for Cloud Apps and Defender for Cloud</li>
</ul></li><li>Hands-on experience with:<ul>
<li>Open-source and commercial deception / honeypot platforms (e.g., Thinkst Canary, T-Pot, Cowrie, OpenCanary, Zscaler Deception)</li>
<li>Advanced KQL for detection engineering and threat hunting at scale</li>
<li>Detection-as-code, CI/CD of detection content, and security content management</li>
</ul></li><li>Strong knowledge of adversary tradecraft and frameworks:<ul>
<li>MITRE ATT&amp;CK, MITRE Engage, MITRE D3FEND, and the cyber kill chain</li>
<li>Experience leveraging Agentic AI, Microsoft Security Copilot, or AI/ML in security operations (detection, hunting, IR, automation).</li>
</ul></li><li>Proven experience leading incident response across identity, endpoint, email, and cloud domains.</li>
<li>Strong scripting / automation experience (PowerShell, Python, or equivalent).</li>
<li>Deep understanding of Zero Trust architecture and identity-centric defence.</li></ul> 


Preferred Qualifications:
<ul>
<li>Experience contributing to red-team / purple-team exercises and breach-and-attack simulation (BAS) programmes.</li>
<li>Microsoft certifications:<ul>
<li>Microsoft Certified: Security Operations Analyst Associate (SC-200)</li>
<li>Microsoft Certified: Azure Security Engineer Associate (AZ-500)</li>
<li>Microsoft Certified: Cybersecurity Architect Expert (SC-100)</li>
<li>Industry certifications (CISSP, GCIA, GCFA, GCIH, OSCP, or equivalent)</li>
<li>Cloud certifications across AWS, GCP, or OCI</li></ul></li> 
</ul>
What we offer:

Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company.

We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.

Equal Opportunity Employer

We&rsquo;re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com</div></div>

Principal Microsoft Defender XDR & Deception Engineer

COMMONWEALTH SECRETARIAT

<div>The Commonwealth Secretariat is seeking to appoint a Software Architect &ndash; QA Analyst within the Debt Management Unit (DMU), part of the Economic Development, Trade and Investment Directorate (EDTI). EDTI works closely with Commonwealth member countries to strengthen economic resilience through trade and investment policy, digital connectivity, investment facilitation, and wider economic and sustainable development priorities. Its work includes technical assistance, advisory support, knowledge exchange and capacity building, delivered through in-house expertise and strategic partnerships.
The DMU delivers the Secretariat&rsquo;s debt management programme, providing member countries with an integrated package of support covering policy advice, capacity building and debt management systems. This includes strengthening institutional and legal frameworks, supporting the development and implementation of debt management strategies, and contributing to market development.
Through the Commonwealth Secretariat Debt Recording and Management System, Commonwealth Meridian, the Secretariat supports client countries to manage public debt effectively at central and state government levels, covering back, middle and front office functions. Commonwealth Meridian is currently deployed in more than 40 countries.
Reporting to the Adviser and Head &ndash; Debt Management Unit through the Adviser &amp; Team Leader (IT Systems) and working closely with business analysts, economists, debt specialists and IT professionals, the Software Architect &ndash; QA Analyst will design, implement and continuously improve quality assurance strategies, testing processes, methodologies and automation frameworks for Commonwealth Meridian. The role will help identify and resolve defects, support the delivery of high-quality software, and may also involve providing technical support to clients and contributing to capacity-building activities.
Key responsibilities include:<ul><li>
Performing API testing using Postman, RestAssured, or similar tools to validate integrations.</li><li>
Designing and implementing test automation frameworks for UI, API, and performance testing.</li><li>
Managing the complete test cycle of software development from requirements testing to user acceptance and release testing.</li><li>
Planning testing across the software development lifecycle, including defining testing objectives and quality criteria, developing testing strategies, recommending appropriate testing approaches, and ensuring effective integration between testing and development activities.</li><li>
Making recommendations on appropriate testing tools to support the improvement and automation of DMU software testing activities.</li><li>
Supporting user queries when required, including helping to prioritise, diagnose and resolve support issues.</li></ul>
To be considered for this role, you will need a Master&rsquo;s and/or Bachelor&rsquo;s degree in Computer Science, software testing or a related discipline, with a substantial component relevant to computing. You will also need at least five years&rsquo; software testing experience, including experience of developing software automation scripts using .NET, NUnit and Selenium WebDriver, as well as quality assurance experience in a structured test environment. Candidates with experience in scripting unit-level test cases using C# in the Microsoft Visual Studio environment and who have an understanding of how AI and machine learning can be applied to public debt management quality assurance functions will have an added advantage.
The Commonwealth is a voluntary association of 56 member governments and provides guidance on policymaking, technical assistance and advisory services to Commonwealth member countries. We support governments to help achieve sustainable, inclusive and equitable development.
Please apply by submitting a CV and cover letter. Covering letters should be structured to address the key criteria required in the person specification, giving clear examples.
To join us, you must be a citizen of a Commonwealth country.
The Commonwealth is a voluntary association of 56 independent and equal countries.
It is home to 2.5 billion people, and includes both advanced economies and developing countries. 33 of our members are small states, including many island nations.
Our member governments have agreed to shared goals like development, democracy and peace. Our values and principles are expressed in the Commonwealth Charter.
The Commonwealth's roots go back to the British Empire. But today any country can join the modern Commonwealth. The last two countries to join the Commonwealth were Gabon and Togo in 2022.</div>

Software Architect – QA Analyst

GSMA

<div>Department: Technology
Team: Security
Location: London with hybrid ways of working
Position type: Permanent
What the hiring manager says
This is a hands on engineering role at the heart of GSMA&rsquo;s TISAC platform transformation. You will be responsible for building, evolving, and maintaining the technical backbone that enables cyber threat intelligence sharing for the global telecoms ecosystem. We&rsquo;re looking for a T-ISAC Platform Software Engineer who thrives on solving complex architectural challenges, automating largescale systems, and bringing engineering excellence to a critical industry capability.
You&rsquo;ll work closely with CTI analysts, architecture teams, and platform vendors to deliver a secure, scalable, and resilient T‑ISAC service. If you are passionate about infrastructure, automation, API integrations, platform reliability, and delivering secure-by-design services to a global community, this role is your opportunity to help shape the future of telecom security.
If you thrive on working with cutting-edge intelligence platforms, enjoy mentoring others and want to help mature a global security community, this is an opportunity to truly influence the future of telecom security.
Agwu Nwoke, Industry Security Programme Director
About the Team
The GSMA Industry Security Team is the mobile industry&rsquo;s focal point for the mobile network security. The team is responsible for co-ordinating GSMA member security working groups, leading industry wide security initiatives and engaging with global regulators to ensure security is an enabler and not a barrier to next generation mobile services.
The team is responsible for a number of industry wide Cybersecurity schemes including:<ul><li>
Telecommunications Information Sharing and Analysis Center (T-ISAC).</li><li>
Mobile Co-ordinated Vulnerability Disclosure (CVD).</li><li>
Network Equipment Assurance Scheme (NESAS).</li></ul>
About the GSMA T-ISAC
The Telecommunication Information Sharing and Analysis Centre (T-ISAC) is the cybersecurity threat intelligence community for the telecommunication industry, dedicated to facilitating collaboration and intelligence sharing among mobile network operators, mobile virtual network operators and industry stakeholders. T-ISAC provides GSMA members with critical cyber threat intelligence, fostering a trusted environment where telecommunication stakeholders can proactively address cybersecurity threats and reduce risks through the development of best practices. By uniting telecommunication MNOs, MVNOs, manufacturers, service providers and industry in a shared mission, T-ISAC enhances the mobile ecosystem&rsquo;s resilience against cyber threats. For more information, visit www.gsma.com/T-ISAC.
About the Role
As the Platform Software Engineer for T‑ISAC, you will be responsible for the engineering, operation and continuous improvement of the platforms, tooling and integrations that power the T‑ISAC service.
Key Responsibilities
Platform Engineering &amp; Development
Design, develop and maintain the T-ISAC platform, delivering secure, scalable data workflows, automation capabilities and collaboration tools that support threat intelligence sharing and enrichment.
Service Reliability &amp; Operations
Lead the operational reliability of the T-ISAC platform through proactive monitoring, incident management, performance optimisation and secure-by-design engineering practices.
Integration &amp; Interoperability
Deliver and support integrations, APIs and data exchange capabilities that enable secure, scalable intelligence sharing across members and third-party security platforms.
Platform Roadmap &amp; Technical Strategy
Shape the evolution of the T-ISAC platform by defining future-state architecture, driving technical improvements and evaluating emerging technologies.
Security &amp; Compliance
Maintain a secure and compliant platform through secure engineering practices, automated controls, vulnerability management and adherence to regulatory and governance standards.
Collaboration &amp; Community
Foster collaboration across members, analysts, security teams and industry partners to improve platform adoption, effectiveness and community engagement.
About You
You will bring enthusiasm and ownership to this specialised senior role in cyber threat intelligence analysis, joining a dynamic and ambitious team. Your drive will be key to transforming bold ideas into impactful programmes and seeing them through to successful delivery.
You will have telecoms experience gained from working at an operator, with an operator or within the wider telecom industry.
You will have proven knowledge and expertise in designing, building and operating the core platforms and infrastructure that enable scalable, reliable, secure and efficient software delivery across operations in Intelligence, Cybersecurity, Data Analytics or a related field (equivalent experience will be considered). You will also have experience working with ISACs or other information sharing organisations.
About Your skills
In addition to technical skills, you will have :
Teamwork &ndash; you will be comfortable when working collaboratively in a virtual, distributed team environment.
Communication &ndash; you will have exceptional verbal and written communication skills, with a track record of presenting to executive audiences.
Leadership &ndash; you will have proven leadership and mentoring skills, ideally within an intelligence team.
Analysis &ndash; you will have strong analytical, critical thinking and problem solving skills, with ability to analyse cybersec intelligence.
Essential<ul><li>
Extensive experience of building and implementing intelligence platforms e.g. OpenCTI, MISP.</li><li>
Experience of using collaborative open source tools as part of your analysis and research processes.</li><li>
Understanding of Nation-State Actors, Cyber Crime, Hacktivism and advanced threat actor tactics, techniques and procedures (TTPs).</li><li>
Experience in cybersecurity intelligence, including collection, analysis and dissemination.</li><li>
Professional experience within the telecom industry, whether gained at an operator, in partnership with an operator, or through work in telecom related organisations, vendors, academia or the wider mobile ecosystem.</li></ul>
Preferable<ul><li>
Understanding of mobile data, protocols and technology such as, but not limited to SS7, MOTIF, HRN, IRSF, URLs, GTs.</li><li>
Knowledge of mobile network architectures and services.</li><li>
Understanding of mobile network and services, threat landscape and the common attacks to which they are exposed.</li><li>
Comprehensive understanding of telecommunication industry operations and challenges.</li><li>
Expertise in using and applying the Mitre ATT&amp;CK&reg; framework, MISP, OpenCTI, Meta, EclecticIQ, Governments, Law Enforcement and other COIs (national and international) for threat analysis and strategy development.</li></ul>
We strive to offer a meaningful and inclusive application experience for all candidates. Should you require any accommodations or adjustments due to a disability or for any other reason during the hiring process, please contact talent@gsma.com with your request.
Contract type
Regular
Worker type
Employee<h2 class="jobSectionHeader">
What We Offer</h2>
Working at the GSMA offers you unparalleled access to the mobile industry. We offer a chance to truly shape the direction of mobile, whatever your role. By joining the GSMA, you will be exposed to a fast-paced rapidly evolving environment, working on global solutions, genuinely fascinating and industry-changing projects and a stimulating and dynamic environment designed to enable you to flourish.
In addition to architect-designed offices and competitive compensation, our benefits include fantastic learning &amp; development opportunities, generous holiday allowances, four additional days off for professional development and many others.
To learn more about the GSMA, visit our career site, our LinkedIn page and our Twitter page.
Being You at the GSMA
We care deeply about diversity, equity and inclusivity and aspire to be the best at it. Your well-being and work/life balance is important, so flexi-time and remote working is available to all staff. We're keen to ensure everyone is equal, represented and connected so we particularly encourage applications from all demographics. The sucess of the GSMA year on year will continue to be contributed by people from all walks of life.
GSMA Values
Our values not only drive our culture &ndash; they shape how we work and interact inside and outside our global organisation.
Passionately driven
We approach everything we do with unparalleled capability, tenacity and commitment, knowing that the challenging scale, pace and complexity of our work is what leads to its world-changing impact.
Insightful leaders
We continually develop and engage our expertise, insight and creativity so that we&rsquo;re always ready to respond to the changing landscape with authority, agility and nuance.
Stronger together
We lean on each other so the industry can lean on us, embracing our diversity by actively seeking out perspectives and skill sets beyond our own, fuelling each other&rsquo;s successes and constantly asking how we can help.
Underpinning our values is our collective mindset to show up purposefully as good human beings every day, in every situation. When we&rsquo;re at our best &ndash; we are collaborative, considerate and compassionate to others, and we create a safe space for one another to thrive, assuming positive intent in our colleagues. And if we aren&rsquo;t at our best and the pressure is on &ndash; we feel free to be ourselves but still remain curious, lean into the tough stuff and we are always respectful to others and accountable for the part we play.</div>

T-ISAC Platform Software Engineer

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