KPMG New Zealand

KPMG is one of the most trusted and respected global professional services firms. Through depth of expertise, clarity of insight and strength of purpose we help our clients solve complex problems, steer change, strengthen, transition and grow. We are looking for talented people who share our purpose of inspiring confidence and empowering change for our clients, our people and our communities.
 
The consulting environment at KPMG is dynamic and fast-paced, offering diverse opportunities to work on challenging projects with leading organisations across various industries. As a consultant at KPMG, you will be part of a collaborative team that provides strategic insights and innovative solutions to help clients address complex business issues and drive growth. You will work with experienced professionals who are committed to delivering high-quality services and fostering a culture of continuous learning and professional development.
<h3>The Opportunity:</h3>

<ul>
<li>Step into a role designed for an influential, strategic thinker who thrives in highly regulated, rapidly evolving financial environments. As a Manager in our Risk &amp; Regulatory Modelling team, you’ll combine deep technical expertise with the ability to advise senior leadership on large‑scale transformation agendas.</li>
<li>You’ll work directly with Tier‑1 banking clients, acting as a trusted strategic advisor to executive committees, Board‑level stakeholders, and global program owners. This is your opportunity to shape enterprise‑wide regulatory change, elevate risk management capabilities, and lead multidisciplinary teams through complex, ambiguous challenges.</li>
<li>Whether you’re driving enhancements to product governance and trade risk frameworks, designing future‑state operating models, or orchestrating transformation and program governance structures across regions, you will bring clarity, direction, and momentum. This role is perfect for someone who wants impact—real, measurable, enterprise‑level impact.</li>
</ul>

<h3>Day to Day You Will:</h3><ul>
<li>
Lead and deliver engagements across credit risk modelling, regulatory transformation, and enterprise‑scale change programs.
</li>
<li>
Translate complex business and regulatory requirements into pragmatic, commercially‑aligned modelling and operating model solutions.
</li>
<li>
Provide strategic advisory to senior banking stakeholders, shaping governance forums, transformation agendas, and regulatory response strategies.
</li>
<li>
Orchestrate multi‑disciplinary, cross‑regional teams to deliver risk and regulatory transformation initiatives across Global Markets and other business lines.
</li>
<li>
Partner with legal, finance, technology, and risk leaders to design and embed operating model enhancements, product governance improvements, and trade risk frameworks.
</li>
<li>
Direct development and validation of credit risk models, ensuring alignment with regulatory expectations and strategic business priorities.
</li>
<li>
Oversee program governance frameworks, ensuring accountability, clarity, and effective decision‑making across complex transformation programs.
</li>
<li>
Draft scopes of work, reports, and executive‑level deliverables that communicate clear insights and practical recommendations.
</li>
<li>
Mentor junior team members and contribute to business development, proposal writing, and opportunity shaping.
</li>
</ul><h3>About You: </h3><ul>
<li>10+ years of experience delivering large‑scale enterprise transformations, regulatory change programs, and risk management uplift across major financial institutions.</li>
<li>A proven ability to advise C‑suite and Board‑level stakeholders, shaping strategic programs and guiding executive decision‑making.</li>
<li>Demonstrated success leading globally distributed teams and multi‑disciplinary workstreams in both business-as-usual and transformation contexts.</li>
<li>Strong understanding of credit risk modelling, regulatory frameworks, model risk management, and the broader financial services regulatory landscape.</li>
<li>Expertise in designing and embedding program governance structures, operating model enhancements, and cross‑functional regulatory solutions.</li>
<li>Technical familiarity with modelling and regulatory technology platforms (SAS, Python, R, SQL, model lifecycle tools, automation platforms).</li>
<li>Exceptional communication, stakeholder management, and leadership skills, with the ability to navigate ambiguity and drive clarity.</li>
<li>A tertiary qualification in Mathematics, Statistics, Actuarial Science, Finance, Engineering, or another quantitative field (CFA/FRM desirable).</li>
</ul>Recruitment Agencies: The recruitment for this role is being managed directly by the KPMG Talent Acquisition team. We will contact our preferred agency partners if we require agency assistance. Thank you for your understanding.Life at KPMGKPMG values diversity in the workforce and we encourage candidates from diverse backgrounds to apply for roles, including individuals with a disability, additional mental health needs, chronic health conditions or who identify as neurodivergent. For disabled and neurodiverse candidates, if you encounter accessibility barriers or if you have access needs and require support to participate equitably in the recruitment process, please phone Emma Payne on +64 9 363 3656 or email <a href="/cdn-cgi/l/email-protection" rel="noopener noreferrer nofollow ugc" target="_blank">[email protected]</a>We offer rewarding careers to talented individuals and a holistic range of benefits to support your life balance, whatever your circumstance. We want you to do Work That Matters, Thrive and Grow and know that you Belong here with us, at KPMG. As a KPMG employee, we will offer you: —  Access to the firm's annual incentive scheme—  Opportunities for local and international secondments—  Hybrid working across a mix of office, client and home hubs to recognise that people have individual circumstances and preferences when it comes to where and how they work— The ability to work from overseas and extend time connecting with friends and family outside New Zealand—  Flexible leave options, including the ability to purchase additional annual leave—  Gender-neutral support for all stages of the parental journey, including access to 18 weeks of fully paid parental leave for all new parents —   A paid professional association membership of your choice—   Digital accreditations through our partnership with Microsoft, LinkedIn Learning, with bespoke learning pathways for all employees—   A wide-range of special offers and discounts on insurances, banking services, and lifestyle goods and services—   The support, allyship and opportunity to join our many Inclusion, Diversity and Equity Affinity networks, including the Kiwa, Pride, Ethnicity, Accessibility and Wahine groups—  The opportunity to participate in Green Team activities, as we work toward reducing the firm’s environmental footprint and become carbon zero by 2030—  An invitation to join your local Social club and enjoy events aimed at bringing people together for social, sporting, cultural, family and fundraising activities—  Paid time off for volunteering and involvement in citizenship activities—  An array of health and wellness benefits such as free flu vaccinations, subsidised sporting events, free confidential counselling services, additional 5 days of Wellbeing leave to support you and your family's overall health and wellness, access to our Wellbeing portal with an extensive range of advice and resources and much much more! We believe that diversity of background and experience strengthens relationships and delivers meaningful benefits to our people, clients and communities. Our goal is to be recognised as an employer of choice for all, irrespective of gender, ethnicity, generation, flexible work status, family circumstances, sexual orientation or disability. Further info can be found on our website.

Auckland

Associate Director / Director - Risk &amp; Regulatory Transformation (Financial Services)

Rackspace

We are looking for a Software-focused Trainee who treats AI as a powerful tool in their engineering toolkit. Instead of just "prompting," you will help us build the robust software systems that allow AI Agents to execute SQL, manage dbt models, and interact with data pipelines reliably.Key ResponsibilitiesSystem Integration: Assist in building the "connectors" between LLMs and real-world data tools (Airflow, dbt, Microsoft Fabric).Reliable Execution: Help develop validation layers to ensure AI-generated code (SQL/Python) is syntactically correct and follows governance standards.Agentic Workflows: Support the implementation of multi-step reasoning cycles (Plan-Act-Observe) using frameworks like LangGraph or CrewAI.Infrastructure Support: Work with Azure Functions and Container Apps to deploy and scale AI-driven microservices.Evaluations as Code: Build automated test suites to benchmark agent performance and detect regressions in reasoning.Required Skills &amp; QualificationsStrong Software Engineering Foundation: * Proficient in Python (focus on clean code, modularity, and error handling).Solid understanding of Data Structures, Algorithms, and OOP.Comfortable with Git workflows and RESTful API consumption.AI Implementation Skills:Hands-on experience calling LLM APIs (OpenAI, Anthropic, or Azure AI).Practical understanding of Agentic AI concepts: How agents use tools, memory, and self-correction.Knowledge of Structured Outputs (Pydantic/JSON schemas) to make AI outputs machine-readable.Data Literacy: Good command of SQL. You should be able to write and debug complex queries manually before trying to automate them with AI.Education: Final year student or recent graduate in CS, Software Engineering, or related fields.Preferred/Nice-to-haveExperience with Docker or basic Cloud infrastructure (Azure/AWS).Familiarity with Asynchronous Programming in Python (asyncio).Contribution to open-source projects or a strong GitHub portfolio showing clean software design.Traits We Look ForEngineering Rigor: You care about edge cases, latency, and system reliability, not just "cool" AI demos.Problem-First Mindset: You look for the best engineering solution, even if it sometimes means not using AI.High Learnability: You can read a technical API doc or a new AI research paper and translate it into working code quickly.What You Will GainMentorship from Senior Engineers on building production-grade Agentic systems.Exposure to the Azure AI Foundry ecosystem and enterprise-level DataOps.A chance to be at the forefront of the shift from "Chat" to "Autonomous Agents. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

AI Engineer Trainee (Software-approach)

Shift : 6:30 PM – 3:30 AM IST)Job Summary:We are seeking a seasoned and strategic Project Manager IV to lead high-impact, enterprise-level initiatives across private cloud, infrastructure, and hybrid hosting environments. This role demands a visionary leader with deep technical expertise, exceptional stakeholder management, and a proven track record of delivering complex projects &amp; programs that align with organizational goals. The PM4 will mentor junior project managers, drive cross-functional alignment, and influence executive decision-making.Key Responsibilities: Lead strategic, multi-phase programs involving infrastructure modernization, cloud transformation, and enterprise hosting.Oversee program-level planning, execution, and governance across multiple workstreams and stakeholders.Partner with leadership, architecture, engineering, and operations teams to deliver business-critical outcomes.Manage high-complexity projects with broad scope, significant risk exposure, and cross-functional dependencies.Develop and maintain executive-level dashboards, program roadmaps, and risk mitigation strategies.Ensure compliance with enterprise governance, security, and regulatory standards.Facilitate SLT-level communications, steering committee updates, and executive escalations.Champion continuous improvement, agile adoption, and delivery excellence across the project lifecycle.Mentor and coach PM3s and junior project managers, fostering a culture of accountability and growth.Lead enterprise, customer‑facing infrastructure delivery programs with contractual, SLA, and financial accountability.Ensure predictable, on time delivery of complex infrastructure implementations while driving continuous improvement initiatives.  KnowledgeAdvanced understanding of project and program management methodologies (Agile, Waterfall, Hybrid).Expertise in Project &amp; Program management, resource planning, and financial tracking.Proficiency in tools such as MS Office Suite, Smartsheet, JIRA, ServiceNow, Power BI.Strong analytical skills to assess project health, forecast risks, and drive data-informed decisions.Excellent communication, negotiation, and conflict resolution skills.Ability to influence technical and non-technical teams, including C-level stakeholders.Deep understanding of IT infrastructure domains:·       Cloud Computing (Private/Public/Hybrid)·       Networking &amp; Security·       Virtualization &amp; Storage·       Operating Systems (Windows/Linux)·       Databases &amp; Backup SolutionsRequired Qualifications:Bachelor’s degree in computer science, Information Technology, or a related field. Minimum 12 years of project/program management experience, preferably in IT infrastructure or cloud environments. Proven success in leading enterprise-scale programs with global impact. Excellent communication, leadership, and stakeholder management skills. Flexibility to work in any shift as per project requirements.Required Certifications:PMP, PRINCE2 Practitioner, or equivalent certification.About Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Project Manager IV – Implementation (R-22749)

Rackspace Technology is a leading provider of expertise and managed services across all the major public and private cloud technologies. We’ve evolved Fanatical Support to encompass the entire customer journey — providing Fanatical Experience™ from first consultation to daily operations. Our passionate experts combine the power of proactive, always-on service and expertise with best-in-class tools and automation to deliver technology when and how our customers need it.As a Data Modeler, you will design and deliver implementation-ready logical and physical data models within Azure Databricks (Delta Lake) following Medallion Architecture (Bronze, Silver, Gold).The role ensures Data Engineers can immediately begin development with clear schema definitions, SQL structures, and zero ambiguity.Key ResponsibilitiesData Modelling &amp; Design• Develop Conceptual, Logical, and Physical Data Models.• Define schemas, entities, attributes, relationships, keys, constraints, and data types.• Provide DDL-ready SQL definitions for implementation.• Clearly define fact table grain and dimensional structures.Azure Databricks – Medallion Modelling• Design structured models across: o Bronze Layer – Raw ingestion, schema control. o Silver Layer – Cleansed, conformed, standardized data. o Gold Layer – Business-ready dimensional models.• Define transformation logic across layers (Bronze → Silver → Gold).• Incorporate Delta Lake best practices (partitioning, performance, scalability).Advanced Modelling Techniques. Requires strong hands-on expertise in:• 3rd Normal Form (3NF)• Star Schema• Snowflake Schema• Data Vault (Hubs, Links, Satellites)Must clearly define:• Fact grain• Surrogate key strategy• Slowly Changing Dimensions (Type 1 &amp; 2)• Conformed dimensions• Aggregation strategyEngineering &amp; Governance Alignment• Ensure models are build-ready for Data Engineering teams.• Review implementation alignment with design.• Maintain ER diagrams, data dictionary, mapping documents.• Enforce enterprise naming standards and modelling best practices.Required Skills &amp; Experience• 5+ years of hands-on Data Modelling experience.• Strong SQL (DDL, partitioning, performance concepts).• Proven experience in Azure Databricks and Delta Lake environments.• Deep understanding of Medallion Architecture.• Experience in enterprise Data Warehouse or Modern Data Platform projects.• Proficiency with data modelling tools (ERwin, ER Studio, • PowerDesigner, Lucidchart, or similar).#LI-LP2We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Dubai

Data Modeler - Azure Databricks (Medallion Architecture)

Rackspace Technology is a leading provider of expertise and managed services across all the major public and private cloud technologies. We’ve evolved Fanatical Support to encompass the entire customer journey — providing Fanatical Experience™ from first consultation to daily operations. Our passionate experts combine the power of proactive, always-on service and expertise with best-in-class tools and automation to deliver technology when and how our customers need it.We are seeking a highly accomplished Solution Director (Analytics &amp; Al/ML) to lead the design and sales of two critical solution portfolios: Generative AI/LLM solutions and Data modernization/Lakehouse architectures on AWS. This pivotal role requires mastery of both domains - leveraging generative AI capabilities (Amazon Q, Amazon Bedrock, QuickSight) to drive executive conversations and opportunity creation, while delivering enterprise data modernization through Lakehouse architectures using AWS native services (Glue, SageMaker Unified Studio) and leading platforms (Databricks on AWS, Snowflake on AWS). This is a presales role that demands cross-functional experience with proven ability to engage C-level stakeholders, drive top-of-funnel opportunity creation, and maintain comprehensive account ownership across the entire customer lifecycle.The ideal candidate will excel at both selling the vision of generative AI transformation and delivering the reality of enterprise data modernization, combining deep technical expertise with exceptional business acumen and executive presence.ResponsibilitiesStrategic Leadership &amp; Opportunity Development• Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations.• Lead the design and architecture of dual solution portfolios:  1) Generative AI Solutions: Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions.2) Data Modernization: Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS.• Act as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization.• Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios.• Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (Lakehouse patterns, data mesh, unified analytics).• Contribute to Rackspace's intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns.• Mentor and provide leadership to Solution Architects by guiding technical development and fostering skill growth across both generative AI and data modernization solution areas.Customer Engagement &amp; Solution Delivery• Serve as the primary technical lead orchestrating both generative AI discussions and data modernization programs for strategic accounts.• Build strategic relationships using two engagement models:1) Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions.2) Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planning.• Lead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmaps.• Develop proposals that balance innovative AI capabilities with foundational data platform requirements.Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to Lakehouse).• Collaborate with sales teams to position both solution portfolios strategically based on customer maturity and needs.Technical Excellence &amp; Market AwarenessMaintain deep expertise across both solution domains:1) Generative AI: Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases.2) Data Platforms: AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta Lake.• Position AWS solutions effectively against other cloud platforms' offerings in both generative AI (Azure OpenAI, Vertex AI) and data platforms (Azure Synapse, BigQuery)• Guide architectural decisions on build vs. buy for both Al capabilities and data platform components<h3>Required Experience</h3><ul><ul><li>Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations.</li><li>Proven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments</li><li>A bachelor's degree in computer science, Data Science, Engineering, Mathematics, or a related technical field is required. At the manager’s discretion, additional relevant experience may substitute for the degree requirement. </li><li>A minimum of 15 years of enterprise solution architecture experience.</li><li>A minimum of 8 years of public cloud experience.</li><li>A minimum of 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernization.</li><li>Proven Presales/Sales Engineering experience.</li><li>Demonstrated success in engaging C-level executives using generative AI demonstrations while delivering complex data platform transformations.</li><li>Strong understanding across the full spectrum:</li><li>AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuning.</li><li>Data Platforms: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality.</li><li>Proficiency in Python, SQL, and Spark with hands-on experience in:</li><li>Generative AI: LangChain, vector databases, embedding models.</li><li>Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools.</li><li>A proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences.</li></ul></ul><h3>Preferred Qualifications</h3><ul><ul><li>An advanced degree (Master's or PhD) in a relevant field</li><li>Experience with AWS professional services or AWS partner ecosystem across both Al and data domains</li><li>Multiple Lakehouse platforms: Databricks, Snowflake, AWS-native (Glue + Athena + Redshift)</li><li>Multiple Al platforms: AWS Bedrock, Azure OpenAI, Google Vertex Al</li><li>Industry certifications: AWS - Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty. Platform specific - Databricks Certified, Snowflake SnowPro</li><li>Experience with regulated industries requiring governance for both AI and data platforms</li><li>Track record building practices that deliver both generative AI solutions and data modernization programs</li><li>Published thought leadership in generative AI applications and/or modern data architectures</li></ul></ul>#LI-LP2We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

London

Solution Director (Analytics &amp; Al/ML)

Apply to Remote Full Time Cyber Security Jobs in companies remotely and near you. New Remote Full Time Cyber Security Jobs added daily.

Job Position and Company	Location	Tags	Posted
Associate Director / Director - Risk & Regulatory Transformation (Financial Services) at KPMG New Zealand	Full Time Consultant Manager Consulting
AI Engineer Trainee (Software-approach) at Rackspace	Remote
Project Manager IV – Implementation (R-22749) at Rackspace	Remote Full Time Manager Windows
Data Modeler - Azure Databricks (Medallion Architecture) at Rackspace	Full Time
Solution Director (Analytics & Al/ML) at Rackspace	Full Time Manager

Remote Full Time Cyber Security Jobs

3 Remote Full Time Cyber Security Jobs. Page 3 of 1

5 closed remote full time cyber security jobs:

Subscribe to the weekly
Cyber Security Jobs Newsletter

Remote Full Time Cyber Security Jobs

All Cyber Security Jobs

Cyber Security Jobs by Category

Remote Full Time Cyber Security Jobs

3 Remote Full Time Cyber Security Jobs. Page 3 of 1

5 closed remote full time cyber security jobs:

Subscribe to the weekly Cyber Security Jobs Newsletter

Remote Full Time Cyber Security Jobs

All Cyber Security Jobs

Cyber Security Jobs by Category

Subscribe to the weekly
Cyber Security Jobs Newsletter