1 to 25 of 142 Use Case Jobs in the City of London

Create & maintain data pipelines using Airflow & Snowflake as primary tools Create SQL Stored procs to perform complex transformation Understand data requirements and design optimal pipelines to fulfil the use-cases Creating logical & physical data models to ensure data integrity is maintained CI CD pipeline creation & automation using GIT & GIT Actions Tuning and optimizing data processes Qualifications Required Qualifications More ❯

of understanding and transforming customer requirements into a best-fit design and architecture. • Demonstrated experience in end-to-end data management, data modelling, and data transformation for analytical use cases. • Proficient in SQL (Spark SQL preferred). • Experience with JavaScript/HTML/CSS a plus. Experience working in a Cloud environment such as Azure or AWS is More ❯

AI systems Translating technical jargon and complex IT risks into business language is a must Support the business and IT stakeholders in completing risk assessments for their AI use case. Conduct in-depth technical assessments of AI solutions to identify security risks. Develop threat models for AI systems to anticipate and account for potential impacts due to misuse More ❯

organizations, and investment banks. Client Engagement: Build and maintain strong client relationships, understanding their compliance needs and delivering tailored solutions using advanced analytics and AI frameworks. Use Case Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and … execution, especially in financial contexts. Experience with compliance governance, ethical considerations, and ensuring adherence to financial regulations. Financial Crime and Compliance Expertise: Skilled at identifying and articulating compliance use cases in banking and insurance (e.g., AML, KYC, fraud detection, and regulatory reporting). Business Impact: Proven ability to build business cases and value models that demonstrate the tangible More ❯

support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops and discussions with clients to explore innovative use cases for Data & AI, fostering collaborative ideation and problem-solving. Drive Practice Development: Lead the development of point of views, thought leadership and intellectual property within the Data & AI … and strategic visions that leverage Data and AI, including GenAI, to drive innovation and transformation. Data & AI Strategy Development: Formulating strategies for AI and GenAI implementation, identifying key use cases, and outlining actionable roadmaps. Operating Models: Designing operating models that integrate Data and AI capabilities, ensuring alignment with organizational objectives and fostering a Data & AI-driven culture. Business More ❯

Architect to design and own the solution architecture for our scalable SaaS and custom products . The ideal candidate will align with the product roadmap, purpose, and feature use cases to define and implement a best-in-class architecture. This role demands a strong focus on Microservices Architecture , ensuring that our solutions are scalable, configurable, and cloud-agnostic More ❯

Zone to Bronze Bronze to Silver – Data Quality, Metadata Enrichment, Tagging, Radar Registration, Reformatting Silver to Gold – Curation Registration in Unity Catalogue/Purview Macrobond PCX use case tests Scripts PCX use case tests Output Dataset labelling algorithm tests Vintaging labelling algorithm tests Key Core-Testing Responsibilities: Plan, Schedule, Coordinate, prep, run and report More ❯

and reference data ingestion Data Ingress – Source to Landing Zone Landing Zone to Bronze Silver to Gold – Curation Registration in Unity Catalogue/Purview Macrobond PCX use case tests Scripts PCX use case tests Output Dataset labelling algorithm tests Vintaging labelling algorithm tests Key Core-Testing Responsibilities: Plan, Schedule, Coordinate, prep, run and report More ❯

Snowflake experience and exposure to AI/ML pipelines. This is a great opportunity to work in a modern data environment, contributing to advanced analytics and machine learning use cases. You’ll build robust data pipelines, enable AI/ML capabilities, and support the development of scalable data solutions on Snowflake. What you’ll be doing: Build and … optimise data pipelines in Snowflake Design data models to support analytics and ML use cases Work across Azure and/or AWS cloud environments Support data migration and modernisation initiatives Collaborate with analysts, scientists, and engineers What we’re looking for: 5–8 years in data engineering Strong Snowflake expertise Solid SQL and Python skills Experience supporting AI More ❯

architecture sessions, and customer pilots. Be a public-facing voice in the developer community — through blogs, meetups, events, and webinars — with a focus on the real-world enterprise use cases of AI tooling. 🧩 What We’re Looking For Strong engineering background — ideally in Python, backend systems, APIs, and cloud platforms (AWS, GCP, Azure). Deep understanding of enterprise More ❯

such as Ping Identity, Okta, or Auth0, with support for OAuth2, OIDC, and JWT. • Collaborate with mobile app teams to ensure backend services are optimized for mobile-specific use cases such as performance, caching, and offline access. • Own end-to-end technical delivery, including code quality, performance optimization, security best practices, and CI/CD integration. • Perform code More ❯

technical work and cross-functional collaboration—driving forward innovation while ensuring reliability, performance, and business value Responsibilities Architect and implement state-of-the-art machine learning solutions across use cases including intelligent document processing, risk modelling, and asset behaviour analytics Conduct advanced experimentation and model development, applying deep learning, LLMs, or probabilistic methods as appropriate Build high-performance More ❯

an investigative mindset to identify security threats. Experience with malware analysis, including static and dynamic analysis techniques. Ability to develop and refine threat-hunting methodologies and define SIEM use cases. Familiarity with global cybersecurity regulations and compliance frameworks (GDPR, NIST, ISO 27001, etc.). Ability to work under pressure in a fast-paced, dynamic security environment. Experience in More ❯

functional, and non-functional requirements with a focus on mobile banking applications and digital experiences. • Documentation: Prepare clear and detailed Business Requirement Documents (BRDs), Functional Specification Documents (FSDs), Use Cases, and Mobile App User Stories. • Mobile & Banking Expertise: Understand and bridge both core banking systems and mobile platforms, covering features such as onboarding, authentication, transactions, payments, alerts, KYC More ❯

requirements accurately. You will analyse gathered requirements and identify gaps, inconsistencies, and potential issues. You will create documentation such as business requirements documents (BRDs), user stories, functional specifications, use cases, and process flow diagrams. You will facilitate communication, manage expectations and act as a bridge between business stakeholders, project managers, and development teams. You will identify areas of More ❯

scikit-learn) Familiarity with RESTful APIs and event-driven architectures Strong debugging, system design, and testing skills (e.g., JUnit) Passion for building scalable, reliable platforms supporting real-world use cases Domain experience in financial markets, trade surveillance, or regulatory technology (RegTech) is a plus Knowledge of machine learning frameworks (e.g., H2O.ai) is a bonus More ❯

scikit-learn) Familiarity with RESTful APIs and event-driven architectures Strong debugging, system design, and testing skills (e.g., JUnit) Passion for building scalable, reliable platforms supporting real-world use cases Domain experience in financial markets, trade surveillance, or regulatory technology (RegTech) is a plus Knowledge of machine learning frameworks (e.g., H2O.ai) is a bonus Seniority level Seniority level More ❯

current with the latest security trends and technologies. Assist in developing strategies to handle security incidents and coordinate responses to insider threats. Support the development and implementation of use cases, detection rules, and playbooks. Perform threat hunting activities to proactively identify threats within the environment. Continuously review and refine insider risk policies to ensure they are effective and More ❯

Familiarity with trade lifecycle processes: d eal entry, confirmation, scheduling, pricing, risk reporting, P&L, settlement. Strong analytical and documentation skills: B RD, FRD, process mapping, data dictionaries, use cases. Excellent stakeholder management skills with the ability to engage t raders, risk managers, IT, and operations. Ability to work in f ast fast-paced agile environment a nd More ❯

Product, Data, and Engineering stakeholders to align platform capabilities with business strategy. Define and execute the technical roadmap for the modern data platform, supporting analytics and machine learning use cases. Promote engineering best practices with a focus on maintainability, scalability, privacy, and performance. Champion data governance and observability practices, integrating privacy-by-design principles. Play an active role More ❯

in scaling applied AI products. With strong financial backing and a highly ambitious roadmap, they are combining cutting-edge machine learning with practical, scalable deployment across high-value use cases. As a Founding Forward Deployment Engineer, you'll be right in the middle of that effort - helping customers realise value from day one, while influencing both product and More ❯

technologies such as Snowflake, BigQuery, Redshift, or Athena/Glue. Essential: Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases. Strong understanding of data modeling concepts, including star/snowflake schemas and designing models optimized for reporting and dashboarding. Proficient in analytics tools such as Power BI, Plotly More ❯

teams to identify , shape, and close opportunities. Defining scope, validating feasibility, and aligning offerings with client needs for a compelling value proposition. Initiation and activation of new joint use cases for offering development: Capturing key learnings, refining and standardizing successful offerings, aligning with market trends, shaping new opportunities, and creating high-impact materials to enhance Microsoft -BCG joint … pursue exciting, innovative BCG Vantage careers. Additional info BCG Vantage is a powerhouse of expertise, seamlessly embedded within Practice Areas and markets to drive extraordinary impact. It equips BCG case teams and clients with cutting-edge expertise, proprietary assets, actionable data, and transformative insights that empower our case teams and enable our clients to achieve their aspirations. With … geographic markets, BCG Vantage delivers unparalleled depth and breadth of insight & expertise. BCG Vantage consists of three career paths, each playing a crucial role in delivering value to clients, case teams and practice teams. Client Focus (Embedded Expertise) Integrates into client-facing teams to deliver direct client impact through expertise, know-how, and proprietary tools and assets Topic Activation More ❯

Singapore, Dubai, Poland, and the United States. The Role We’re looking for an AI Product Owner to lead the development of our AI strategy that includes the use of GenAI and agentic, data-driven experiences across Nomia’s platform. You will sit at the intersection of product, engineering, procurement strategy and the customer — building AI solutions that … guide the development team. Partner with internal and external customers to gather and prioritise feedback against Nomia IP, customer value, etc. Own the roadmap for AI development—prioritising use cases like supplier recommendation, compliance validation, and RFP automation, etc. Track progress against the product roadmap , identify and mitigate risks, and adjust plans as necessary to ensure successful delivery. … helping structure how our AI consumes structured/unstructured data Measure success of AI products via performance metrics (automation rate, time-to-solve, user satisfaction, etc.) and ensure business case is measured Skills/Qualifications Direct experience dealing with SaaS platforms in the procurement industry focusing on scalable, AI-driven solutions Familiarity with LLMs, prompt engineering, and inference workflows More ❯

and product management, solutions architecture, strong business acumen, and the ability to bridge the gap between our AI platform and customer needs. Key Responsibilities & Contributions: Business Use Case Identification: Guide customers in identifying and defining business use cases where our visual generative AI solutions can drive business opportunities and efficiency. Solution Design and Architecture: Collaborate More ❯