Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Product Designer to join our team. This is a Hybrid role, reporting to the Senior Manager, Product Design in the Product Management department. The AI-Native Staff Product Designer is a hybrid of world-class design craft, systems thinking, and the ability to build what they design with the help of AI. This role designs and delivers end-to-end product experiences across Zscaler’s portfolio, using tools like Figma alongside AI-powered design and prototyping tools - from discovery through execution. Working closely with Product, Engineering, Data, and AI teams, they create intuitive, cohesive experiences that drive adoption and retention while continuously evolving our UX practice as AI capabilities mature. What you’ll do (Role Expectations) Lead end-to-end product design for complex, data-dense enterprise cybersecurity workflows across multiple Zscaler products, from discovery through implement
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Standorte: Frankfurt | Berlin | München (Hybrid) | Practice Area: Finance, Risk, Regulatory & Financial Crime | Art: Festanstellung Du möchtest die regulatorische Transformation führender Finanzinstitute aktiv mitgestalten? Dann werde Teil unseres Teams und bringe Deine Expertise im transaktionsbasierten Meldewesen in anspruchsvolle Beratungs- und Transformationsprojekte ein. Gemeinsam entwickeln wir nachhaltige Lösungen für die regulatorischen Herausforderungen von heute und morgen Die Rolle Als (Senior) Consultant* - Meldewesen / Regulatory Reporting berätst Du unsere Kunden bei der Analyse, Konzeption und Optimierung regulatorischer Meldeprozesse. Du übernimmst eine zentrale Rolle bei der Umsetzung regulatorischer Anforderungen und arbeitest eng mit Fachbereichen, Operations, IT sowie dem Management zusammen. Deine Aufgaben Beratung unserer Kunden bei der Analyse, Konzeption und Optimierung transaktionsbasierter regulatorischer Meldeprozesse (EMIR REFIT, MiFIR/MiFID II und SFTR) Fachliche Bewertung regulatorischer Änderungen und Ableitung nachhaltiger Umsetzungsmaßnahmen für Prozesse, Datenhaushalte und Systemlandschaften Erstellung und Abstimmung von Fachkonzepten, Anforderungen sowie Zielprozessen in enger Zusammenarbeit mit Fachbereichen, Operations und IT Unterstützung bei Transformations-, Implementierungs- und Optimierungsprojekten sowie Begleitung der Einführung und Weiterentwicklung von Meldewesenlösungen Sicherstellung hoher Datenqualität durch Definition und Weiterentwicklung von Governance-, Kontroll- und Validierungsprozessen Dein Profil Mehrjährige Berufserfahrung im transaktionsbasierten regulatorischen Meldewesen im Banken- oder Kapitalmarktumfeld mit fundierten Kenntnissen in EMIR REFIT, MiFIR/MiFID II und SFTR Tiefes Verständnis des End-to-End-Meldeprozesses einschließlich Datenerfassung, Anreicherung, Validierung, Meldung, Fehlerbearbeitung und Abstimmung Praktische Erfahrung mit Nasdaq AxiomSL sowie Regnology Abacus Tra
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for an AI Engineer to join our team. This is a Hybrid role, reporting to the Engineering Manager in the Product Operations department. We are seeking a hands-on AI Engineer to help scale the agentic layer of our AI Native - Product Operations Platform. In this role, you will design and build production-grade AI systems, reusable platform capabilities, and the engineering harnesses required to safely develop, evaluate, debug, and operate AI workflows at scale. As a pragmatic builder who understands modern AI systems in practice, you will translate ambiguous business needs into scalable technical solutions in a high-velocity environment. What you’ll do (Role Expectations) Build and scale the agentic layer of the AI Native - Product Operations Platform by designing production-grade AI systems, reusable platform capabilities, and reliable execution patterns Develop Agentic AI capabilities by applying p
AI Business Consultant / Senior Consultant Location: London (Hybrid) | Practice Area: Business Consulting | Type: Permanent Help financial services organisations turn AI ambition into practical business transformation The Role Join Capco’s Business Consulting practice, supporting leading financial services organisations as they adopt and scale AI capabilities across their businesses. This role sits at the intersection of business transformation, AI enablement, and delivery consulting, helping clients identify practical opportunities to embed tools such as GPT, Copilot, and broader AI/ML solutions into day-to-day operations. You will work closely with stakeholders across business, operations, technology, risk, and compliance teams to support the delivery of AI-enabled transformation initiatives. The role combines elements of business consulting, change management, project delivery, and AI commercialisation, with a strong focus on helping organisations confidently and responsibly adopt emerging technologies through practical, human-led delivery. What You’ll Do Support financial services clients in identifying and delivering AI-enabled opportunities that improve operational efficiency, employee productivity, and business innovation using approved AI tools and practical automation where they add value. Partner with stakeholders to translate business challenges into practical AI use cases, supporting workshops, requirements gathering, delivery coordination, and implementation activities. Contribute to AI transformation initiatives across Banking & Payments, Capital Markets, Wealth & Asset Management , or Insurance, helping clients embed AI into workflows, operating models, and business processes. Work alongside cross-functional teams including product owners, engineers, data specialists, risk, and compliance teams to support the testing, validation, and rollout of AI-enabled solutions with human-in-the-loop review and appropriate controls. Deliver stakeholder eng
Avaloq Consultant / Management Consultant Location: London (Hybrid) | Practice Area: Wealth & Asset Management | Type: Permanent Drive transformation across core banking and wealth management platforms using Avaloq The Role We are expanding our Wealth & Asset Management capability and are seeking experienced Avaloq professionals to support growing client demand across core banking and wealth platform transformation. You will play a key role in delivering complex change programmes, working across business and technology teams to maximise the value of the Avaloq platform and deliver scalable solutions for leading financial institutions. As AI continues to reshape financial services, you'll be expected to embrace AI-enabled ways of working, using approved AI and automation tools to enhance productivity, accelerate analysis, improve delivery quality, and support better client outcomes, while always applying human judgement and responsible AI practices. You'll also help clients identify opportunities to embed AI-enabled capabilities into future operating models where appropriate, supporting innovation while maintaining robust governance and oversight. What You’ll Do Support the delivery of Avaloq implementation, upgrade, enhancement and integration programmes, using approved AI-enabled tools where appropriate to accelerate delivery and improve quality. Configure and optimise Avaloq functionality across core banking, wealth management, payments, securities and reporting processes. Collaborate with business, operations and technology stakeholders to define functional and technical requirements, using AI to accelerate analysis, documentation and insight generation while maintaining appropriate human review. Support data migration, system integration and platform modernisation initiatives, leveraging AI-enabled automation where appropriate to improve efficiency, consistency and delivery outcomes. Act as a bridge between business and technology teams to ensure success
Principal Data Engineer – AWS Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer future-ready data platforms that power financial transformation. The Role We’re looking for a Principal Data Engineer with AWS to join our growing team of engineering experts driving next -generation transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines that enable trusted, scalable data platforms. Working across greenfield initiatives and enterprise-scale programmes, your work will directly influence how data is ingested, transformed, and consumed across the financial services industry. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to enhance productivity, improve delivery quality, and accelerate engineering outcomes while applying sound engineering judgement and responsible AI practices. What You’ll Do Design and build end-to-end data pipelines using AWS -native services and modern cloud data architectures, ensuring scalable, secure, and resilient solutions. Partner with clients and cross-functional teams to understand business requirements, define technical solutions, and deliver production-grade data platforms. Apply AWS Well-Architected Principles, engineering best practices, CI/CD, and AI-enabled development approaches to improve quality, efficiency, and operational excellence. Lead the development of robust, tested, fault-tolerant data engineering solutions while promoting responsible engineering standards and governance. Mentor engineers, share technical expertise, and encourage the effective and responsible use of approved AI tools and automation to enhance collaboration and delivery. What We’re Looking For Strong proficiency in Python , Scala , or Java , with hands-on experience of Big Data technologies including Spark , Hadoop , or similar distributed processing frameworks. Experi
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Principal Software Development Engineer to join our team. This is a Hybrid role, reporting to the Director, Software Development Engineering ZIdentity team in the Identity and Access Management department. Identity is the new security perimeter. Come help manage digital risk by applying security through identity integration and controls. You will be responsible for the design and development of enterprise-grade Identity Management Products for Zscaler, leveraging your deep expertise in IAM and public cloud environments to drive hands-on development and provide technical leadership. What you’ll do (Role Expectations) Practice technical leadership in the design, development, and optimization of the Identity platform, focusing on strategy for cost-effective product growth and expansion Spearhead the technical roadmap for the Kubernetes platform, architecting centralized identity and access management
Location: Doha, Qatar | Practice Area: Data & Analytics | Type: Permanent The Role Capco is a global technology and business consultancy, focused on the financial services and energy sectors. We combine innovative thinking with deep industry expertise to help our clients solve complex business and technology challenges. We are looking for an experienced Data Architect to lead the design and evolution of enterprise data architectures across complex transformation programmes. The role combines strategic architecture, modern data platform expertise, and technical governance to deliver scalable, secure, and future-ready data solutions. You will work closely with business and technology stakeholders to translate requirements into practical architectural solutions, establish common standards, and guide engineering teams through implementation. What You'll Do Define target-state architectures, data models, domain structures, and integration patterns, ensuring alignment with business objectives, enterprise standards, and non-functional requirements. Design scalable data platforms and solutions leveraging technologies (including but not limited to Snowflake, dbt, and cloud-native services), with a focus on performance, security, resilience, and cost efficiency. Architect modular, microservices-based solutions incorporating REST APIs, API gateways, and modern data ingestion and integration patterns. Establish and promote consistent data modelling, naming conventions, semantic definitions, and data management standards to support interoperability, discoverability, and reuse. Collaborate with stakeholders and engineering teams to translate business and technical requirements into architecture designs, assess source-system integration feasibility, and validate proposed solutions. Lead technical design reviews, assess architectural decisions, dependencies, and risks, and provide practical recommendations to maintain consistency and minimise implementation rework. Facilitate a
Next Generation Fellowship Programme (PhD) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Start Date: 1st February 2027 - you must be available to join on this date in order to participate in the induction and follow-on training provided. Fast-track your career in technology consulting through one of Capco's flagship early careers programmes. The Role Our Next Generation Fellowship Programme is designed for exceptional recent or upcoming doctoral graduates who want to apply their research expertise to solving complex business and technology challenges. Running for over ten years, the programme accelerates technically gifted individuals into consulting careers, providing opportunities to work alongside experienced consultants, former fellows, and industry experts on some of the most innovative transformation programmes in financial services. As a Fellow, you will bridge the gap between business strategy and technology implementation, helping clients solve complex challenges through research, analysis, innovation, and technology. You’ll also explore how approved AI tools, automation, and AI-enabled ways of working can improve the speed, quality, and insight of your work, while applying human judgement and responsible AI practices. The variety of work means no two projects are the same, allowing you to develop expertise across multiple domains while shaping your own career path. What You’ll Do Contribute to technology strategy, digital transformation, cloud adoption and modernisation programmes for financial services clients. Apply research, analysis and structured problem-solving to market analysis, proposition design and complex business and technology challenges. Support projects involving artificial intelligence, emerging technologies, cybersecurity, resilience, sustainability and large-scale transformation. Use approved AI tools and AI-enabled workflows where appropriate to accelerate research, analysis, prototyping and d
At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes. You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline. You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales. You have an interest in and a curiosity about data platforms and the latest advances in data technology. What you will be doing Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles. Architect and implement
At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. This is a senior-level position with the opportunity to work remotely in Peru. Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes. You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline. You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales. You have an interest in and a curiosity about data platforms and the latest advances in data technology. What you will be doing Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations,
About the Company: Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions by building modern data architecture using cloud and open-source technologies. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Offices: New York | Dallas | San Francisco | Lima | Bengaluru. The role below is for our Bengaluru office. Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle complex business problems and convert them into straightforward data solutions. You will work in a fast-paced, high-impact environment and help shape data, analytics, and AI-led transformation for leading global insurance enterprises. About the Role: Sigmoid is looking to board a Leader for our Insurance Consulting Practice who can bridge the gap between high-level strategy and granular operational reality. A true expert in the insurance space must understand the interconnectedness of insurance products, claims ecosystems, underwriting dynamics, customer journeys, regulatory requirements, and operational processes. In this role, you will drive strategic initiatives, foster innovation, and provide visionary direction to our insurance practice with a strong focus on insurance analytics and AI-led transformation. The role requires a strong portfolio leader responsible for managing strategic accounts across new business development and account growth, while partnering with senior client stakeholders to define analytics use cases across Data Engineering, Data Science, Product Engineering, and Consulting. Roles and Responsibilities: Strong understanding of Insurance sub sectors operating model, value drivers and underlying mechanics Insurance Operations - Ability to
Operational Excellence Lead – Wealth Operations Location: London | Practice Area: Wealth & Asset Management | Type: Permanent Transform wealth operations through Lean thinking, Agile delivery, and AI-enabled efficiency. The Role We are seeking an Operational Excellence Lead to drive optimisation and transformation across Wealth Management operations, spanning front, middle and back-office environments. This role focuses on Lean-led operational improvement, value stream redesign and AI-enabled process transformation. You will partner with client stakeholders to identify inefficiencies, deliver measurable performance improvements and embed sustainable operating model change across onboarding, servicing and core operational processes. As AI continues to reshape financial services, you'll be expected to embrace AI-enabled ways of working, using approved AI and automation tools to enhance productivity, accelerate analysis, improve delivery quality and support better client outcomes, while always applying human judgement and responsible AI practices. You'll also help clients identify opportunities to embed AI-enabled capabilities into future operating models where appropriate, balancing innovation with effective governance and oversight. What You’ll Do Lead wealth operations optimisation initiatives across onboarding, servicing and core operational processes, using approved AI-enabled tools where appropriate to accelerate delivery and improve operational performance. Apply Lean Six Sigma methodologies and value stream mapping to identify cost, efficiency and quality improvement opportunities, leveraging AI-supported analysis to generate deeper operational insights. Design and deliver Agile-led operational transformation programmes that embed sustainable change and responsible AI-enabled ways of working. Identify, assess and implement AI-enabled automation and process redesign opportunities that improve productivity, service quality and operational resilience. Track an
Data Analytics – Senior Consultant Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Unlock insights. Empower decisions. Shape the future of financial services. The Role We're expanding our UK Data Practice and looking for talented Data Analytics Consultants to join our award-winning team. You'll lead cutting-edge data transformation programmes for top-tier Financial Services institutions, helping clients unlock value, improve operational efficiency and gain a competitive advantage through data-driven decision-making. You'll also embrace AI-enabled ways of working, using approved AI tools where appropriate to enhance analysis, accelerate delivery and improve the quality of client outcomes while applying sound judgement and responsible AI practices. What You'll Do Lead and deliver complex data analytics initiatives across major Financial Services clients, translating data into meaningful business insights and measurable outcomes. Apply predictive modelling, segmentation and risk analytics to solve client challenges, leveraging AI-enabled analytical techniques where appropriate to accelerate insight generation and support better decision-making. Design and develop dashboards using Power BI, Qlik or Tableau, delivering intuitive visualisations that enable business stakeholders to act with confidence. Interpret large, complex datasets and provide actionable recommendations through advanced analytical techniques, combining technical expertise with critical thinking and human judgement. Support the growth of Capco's UK and Global Data Practice by contributing to innovation across analytics, AI and machine learning, sharing knowledge and encouraging modern, AI-enabled delivery approaches. What We're Looking For Strong ability to acquire, manipulate, analyse and interpret large volumes of complex data to solve business problems. Experience delivering predictive and diagnostic analytics across areas such as customer lifetime value, risk scorin
Lead Data Analytics Consultant – Principal Consultant Location : London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Champion innovation. Grow capabilities. Deliver real-world outcomes. The Role As a Data Analytics Principal Consultant, you'll take a central role in supporting the continued growth of Capco's UK Data Practice. You'll lead complex data and analytics programmes across the Financial Services sector while mentoring talent, guiding clients and driving innovation across Cloud, AI and Machine Learning. You'll champion AI-enabled ways of working, helping clients and teams adopt modern approaches that improve productivity, accelerate insight and deliver measurable business outcomes, while ensuring responsible AI practices and appropriate human oversight. What You'll Do Lead the delivery of complex data transformation and analytics programmes across leading Financial Services organisations, helping clients unlock value through modern data and AI capabilities. Provide leadership and mentoring to data consultants, fostering technical excellence, continuous learning and the effective adoption of AI-enabled tools and modern delivery practices. Build trusted client relationships, shape data and AI propositions, and contribute to business development activities by identifying opportunities to deliver measurable business value. Engage with technical and non-technical stakeholders to promote data literacy, AI adoption and data-driven decision-making, translating complex concepts into clear business outcomes. Represent Capco's Data Practice externally through industry engagement, partnerships and thought leadership, contributing to the evolution of Capco's data and AI offerings. What We're Looking For Minimum five years' experience in consulting or a senior leadership role delivering complex data and analytics initiatives within Financial Services. Strong expertise across data and analytics dis ciplines, including data quality, governance, business
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