Sql jobs in United Kingdom - Page 10

A leading systematic hedge fund, is seeking a Vice President to join its Trading Operations team. This is an opportunity to work in a technology-driven trading environment spanning global markets and multiple asset classes, including equities, fixed income, FX, commodities, and digital assets. Sitting at the heart of the trade lifecycle, this position offers direct exposure to front office activity and close collaboration with teams across finance, technology, and operations. You will play a key role in ensuring operational integrity while contributing to ongoing process and technology enhancements. Key Responsibilities • Act as the primary point of contact for trading desk queries (T0 support), • Perform daily reconciliations and oversee next-day controls, • Investigate and resolve trade breaks with internal and external stakeholders, • Manage inventory and oversee global securities settlements, • Support new product launches and market expansion initiatives, • Assist with trade capture across multiple asset classes, • Manage trade lifecycle events, including corporate actions, transfers, and FX conversions, • Drive adoption of new technologies and improve operational processes Candidate background: • 5+ years’ experience within middle office, operations, or risk., • Broad product knowledge (derivatives, equities, FX and fixed income.), • Advanced Excel skills; experience with Python, SQL, or VBA is advantageous, • Degree in a quantitative discipline such as finance, economics, or computer science

Working for a major energy trader (Oil, Power, Gas, Renewables) we are recruiting a Senior C# / React Developer with a background in financial services / trading systems / trading tools. The Role As a member of a skilled global team of software engineers, you will play a role in developing new trading tool / solutions. The customers are Traders, Analysts, Researchers and Data Scientists. Essential Skills: • 3 -5 years of experience working with C# and related .NET technologies, • Experience with RDBMS and SQL (Oracle, SQL Server, PostgreSQL), • 2 - 3 years commercial experience with React, • Experience working in an agile scrum development model, • University degree (Bachelor or Master) in Computer Science or Maths Desirable Skills: • Experience in GraphQL or gRPC, • Experience in Reactive Extensions (RX), • Previous experience in the commodities or finance industry (hedge fund, investment banking, private banking, fintech)

Job Description: Front Office Risk Manager – First Line Risk Overview A leading global financial markets infrastructure business is seeking a Front Office Risk Manager to join its first line risk function. This is a high-impact role sitting close to senior management and the business, responsible for overseeing day-to-day risk management across a broad range of derivatives products and asset classes. The ideal candidate will bring a rare combination of trading experience and market risk management expertise. They will be commercially minded, technically strong, and able to balance robust risk governance with the needs of a complex, fast-moving markets business. This role would suit someone who has operated in a front office, market risk, clearing, exchange, hedge fund, or investment banking environment and is comfortable working with senior stakeholders on complex risk issues, model enhancement, risk infrastructure, and new product initiatives. Key Responsibilities • Oversee and enhance the day-to-day risk management framework for a complex derivatives-focused business., • Identify opportunities to improve risk models, risk processes, controls, and infrastructure., • Lead projects to design and implement enhancements to risk methodologies, systems, tools, and processes., • Work closely with senior management, business stakeholders, risk committees, and external counterparties., • Ensure the risk management framework and associated policies remain aligned with regulatory expectations, internal standards, and market best practice., • Balance regulatory compliance, prudent risk management, and commercial business requirements., • Monitor risk model performance, including backtesting, stress testing, and other model validation or performance assessment processes., • Conduct quantitative analysis to support the calibration, refinement, and enhancement of risk models., • Contribute to the development of risk policies, methodologies, and governance materials., • Prepare clear documentation and presentations on risk models, policies, and frameworks for senior stakeholders, committees, regulators, and external participants., • Conduct thematic research and ad hoc analysis on market risk topics, market events, emerging risks, and new products., • Support the development of new risk initiatives that enhance business capability while maintaining strong risk controls. The successful candidate will ideally have experience in both trading and market risk management, with a strong understanding of derivatives, risk models, and front office decision-making. They will be comfortable engaging with senior stakeholders, challenging existing approaches, and driving practical improvements to risk frameworks, models, and infrastructure. Required Experience • Previous experience in a front office risk, market risk, trading, or risk management role within an investment bank, hedge fund, clearing house, exchange, commodities business, or similar financial markets environment., • Strong understanding of derivatives products across one or more asset classes, • Proven experience applying market risk models and techniques, including some or all of:, • Value at Risk, Stress testing, Backtesting, Liquidity risk modelling, Margin methodologies, Model performance monitoring., • Demonstrable ability to analyse complex risk problems and develop practical, well-structured solutions., • Experience contributing to model, methodology, infrastructure, or process enhancement projects., • Strong written and verbal communication skills, with the ability to explain technical risk issues clearly to senior management and non-technical stakeholders., • Ability to work independently while contributing effectively to a collaborative team environment., • Strong attention to detail, commercial judgement, and problem-solving ability. Preferred Background • Prior experience as a trader, structurer, or front office risk taker before moving into market risk or first line risk., • Experience within clearing, exchanges, commodities, futures and options, or centrally cleared markets., • Master’s degree or equivalent qualification in Mathematical Finance, Financial Engineering, Quantitative Finance, Mathematics, Physics, Engineering, Economics, or a related discipline., • Experience with SQL and Python., • Familiarity with regulatory expectations for market infrastructure, clearing, margin models, or financial risk governance. Personal Attributes • Commercially aware and risk-focused., • Confident engaging with senior stakeholders., • Able to challenge constructively and influence decision-making., • Strong analytical and quantitative mindset., • Pragmatic, delivery-focused, and comfortable leading projects., • Able to operate effectively in a fast-paced, technically demanding environment., • Committed to maintaining a strong risk culture.

About company PrismFP Analytics builds quantitative analytics products for institutional investors from offices in London, New York, Copenhagen and Tallinn. We combine deep practitioner knowledge of financial markets with cloud-scale data infrastructure to power proprietary derivatives analytics, portfolio construction, and risk tooling for some of the largest names in finance. The role This is a balanced role - roughly 50% people leadership, 50% hands-on engineering. You will own our data strategy and roadmap while staying close enough to implementation to unblock your team, make architecture decisions with conviction, and ship code yourself when it matters. Team You will manage a team of 3 data professionals today, with a hire planned this year. Reporting line This is a high-profile role that reports directly to the CEO and includes hiring, performance review and team development responsibilities. What you’ll do • Set and evolve the data strategy and roadmap in line with company priorities, balancing quick wins with scalable foundations., • Lead the data team (currently 3 people), including hiring (with a plan to add 1 more this year), performance reviews, coaching, and day-to-day delivery management., • Stay hands-on: design, build, and maintain data pipelines, datasets, and internal tooling that support quantitative research and product development., • Establish and own data quality, availability, and coverage metrics (KPIs), along with monitoring and alerting to keep data reliable., • Partner closely with quantitative researchers, software engineers, product owners, and the business to deliver end-to-end data capabilities., • Improve data engineering standards and practices (testing, code quality, documentation, and operational excellence) to help the team scale sustainably. What success looks like (first 6 months) • Clear quality/availability/coverage KPIs are defined, visible, and used to guide priorities., • A clean taxonomy and stable interfaces/contracts exist for core datasets (definitions, naming, ownership, consumption patterns)., • Incidents and manual fixes drop through better validation, monitoring/alerts, and clear ownership., • Strong data engineering practices are the default: testing, code review, documentation, and operational ownership., • A sustainable team cadence is in place: prioritisation, planning, and support expectations are clear., • Cost and performance are managed intentionally, with visibility into drivers and explicit trade-offs—without hurting reliability. Who you are and what you have • You have 5–10+ years of experience in data engineering, with at least 2 years leading or managing a team—guiding, motivating, and developing colleagues to deliver shared outcomes., • You have experience working with financial datasets, ideally including market data feeds, derivatives reference data, and time-series pricing or similar domains., • You can align data initiatives with overarching business strategy, translating business priorities into a clear data roadmap your team can execute., • You have deep experience designing, building, and operating production data pipelines, including owning reliability, monitoring, and failure recovery for orchestration systems such as Apache Airflow (or equivalent)., • You are fluent in modern data and cloud ecosystems, with hands-on experience (or the ability to ramp quickly) in technologies such as Iceberg, Spark, PostgreSQL, and cloud-native infrastructure on AWS (or equivalent)., • You write clean, readable, and testable Python code, applying sound abstractions, naming, and review discipline to build systems that scale beyond the first version., • You bring strong analytical and problem-solving skills and can communicate ideas clearly—both in writing (e.g. concise design documents) and in discussion with engineers, product owners, and business stakeholders., • You exercise pragmatic judgment: knowing when to build robust foundations and when a well-scoped, pragmatic solution is the right trade-off, and you can converge when many possible solutions exist., • You work well within a team and believe in open discussion, inclusion, and diversity., • You like to explore new approaches and technologies to solve problems but can move decisively from exploration to execution., • A high university degree in Computer Science, Mathematics, Engineering, Physics, or similar Our approach and technology stack • Part hybrid work policy - min 4 days a week in office, • Lean principles and Agile development practices, • Continuous deployment across all microservices, • Big Data ecosystem and SQL Databases (Apache Airflow, Iceberg, Spark/Thrift, PostgreSQL, Azure Hyperscale), • Python as a primary backend language, • High-level frameworks (Flask, SQLAlchemy, Alembic, Pytest, Socket.IO), • Amazon Web Services and ecosystem (AWS core services, Lambda, RDS, EKS, S3, etc.), • Cloud-native technologies (Kubernetes, Helm, Docker), • Observability technologies (Prometheus, Jaeger, Loki, Grafana, Sentry), • Infrastructure automation and containerized CI/CD (GitLab, Terraform, Atlantis), • Any technologies you feel would help us move forward Benefits • Competitive salary / discretionary bonus / ESOP, • Work closely with financial market practitioners, • Private medical insurance, • Pension salary sacrifice and contribution match, • 25 days annual leave plus bank holidays, • Regular team events - joint dinners, drinks, • Travel opportunities to Estonia

About the Company We’re working with a well-established UK consulting firm with a strong presence in the mid-market, delivering high-quality advisory, transformation and data-led solutions. With a clear growth trajectory and ongoing investment in its consulting capability, it offers a great platform for individuals looking to build a long-term career in a client-facing, delivery-focused environment. About the Role As a Senior Consultant within the Business Transformation team, you’ll design and deliver modern, cloud-based data solutions and advise clients on their current data landscape and maturity — shaping data strategies and future roadmaps. Responsibilities • Facilitating requirements gathering workshops across business areas to agree objectives, use cases, and data needs, • Supporting the development of data solutions aligned to business objectives, balancing best practice with client requirements, • Providing guidance on data governance and strategy, including frameworks and policies to improve data maturity, • Managing delivery across multiple workstreams / engagements, supporting junior team members and structured engineering practices, • Designing, building and optimising end-to-end data pipelines (ingestion, transformation, orchestration) using SQL and Python, • Embedding strong engineering disciplines: Git, CI/CD, release management via Azure DevOps, • Contributing to pre-sales through proposal support, solution shaping and client-facing materials Qualifications • Strong academic record (ideally a relevant degree: computer science, software engineering, data engineering/analytics, information systems), • 4+ years’ experience delivering data engineering / data platform engagements (ideally in professional services / consulting) Required Skills • Hands-on experience with modern cloud data platforms, including Microsoft Fabric and Azure Databricks, • Strong understanding of Azure data services and integration systems (e.g. Azure Data Factory, Azure Data Lake) and how they complement Fabric/Databricks, • Practical experience with Spark / PySpark (desirable but strong Spark experience counts), • Experience implementing platform security practices (secure connectivity, secrets management, RBAC concepts) aligned to client policies, • Experience implementing data quality controls and validation checks, plus producing clear documentation for traceability and handover, • Confident leading workshops and engaging stakeholders at all levels — able to explain complex ideas to non-technical audiences, • London-based or willing to travel to London fortnightly Preferred Skills • Proposal writing / business development experience (bids and client presentations), • Certifications: Azure Data Engineer / Fabric Data Engineer / Analytics Engineer / Databricks fundamentals Pay range and compensation package Fortnightly travel to London required. .

IXICO plc (AIM: IXI), is a global leader in neuroscience imaging and biomarker analytics, using its proprietary AI-driven platform to help advance the treatment of neurological disorders and reduce the uncertainties associated with drug discovery, development and monitoring. As a key part of the global neurological disease research community, the Company has built a global reputation and 20-year track record as an end-to-end Imaging Contract Research Organisation (iCRO) working with leading pharma companies, innovative biotech's, disease consortia and non-profit organisations. IXICO has supported hundreds of neurological clinical trials, analysed hundreds of thousands scans and built an expansive network of expert imaging centres around the world. The IXICO Platform is tailor-made for neurological disease, reliably processing data from global trials, precisely measuring key imaging biomarkers associated with the identification, progression and treatment of diseases such as Alzheimer's, Huntington's and Parkinson's. Image data is interrogated by the Platform and IXICO's expert scientists translating complex data into clinically meaningful while minimizing data variability and increasing reproducibility. Our people are empowered to enable us to achieve our company goals and their own personal development through the “4A” values at the heart of our culture: Aspiration, Ability, Agility and Accountability. To help us deliver our medical image analysis solutions to large clinical trials we are hiring a dedicated Imaging Applications Engineer on a permanent full-time capacity. Purpose of the Role: This role is focused on supporting our pharma clients’ clinical trial projects by implementing and deploying production-grade medical imaging data processing and analysis solutions within our proprietary IXICO data management platform. The job holder is experienced in the medical image domain and is responsible for executing the configuration of IXICO platform(s) in accordance with project requirement specifications, and for the design, development, validation and deployment of bespoke image analysis workflow features that are required for an allocated portfolio of projects. The job holder works hand-in-hand with Analysis Product, Image Analyst, Biomarker Science and Technology teams to ensure that requirement specifications are fully and clearly documented, implemented, and tested at project start-up, meeting project start-up timelines agreed with IXICO’s Project Managers. The role further supports Project Managers with defining and implementing features to fulfil workflow change requests arising during a clinical trial project. As part of the Technology team, the role holder is responsible for supporting internal users with data processing and analysis issue resolution and contributes to continuous process improvement. Essential Duties and Responsibilities: The duties and responsibilities listed below are representative, but not exhaustive of the role. There may be some variation and/or development of these duties and responsibilities without changing the general nature of the role: • Responsible for the configuration and deployments of clinical trials on the IXICO platform, including change controls and corrections to existing studies., • Receive handover of processing and analysis pipelines from Science and Technology and manage these to completion in operational deployments., • Design and develop, validate and deploy allocated image processing and analysis features and workflows to the IXICO platform., • Support Project Managers in defining solutions for projects within an allocated portfolio, creating clear and complete requirements specifications., • Provide second line support for processing and analysis pipelines, maintaining ticketing for IXICO platform support., • Work closely with Research, Technology and Development teams on best practices and process improvements., • Participate in Agile Scrum team and promote continuous improvement., • Create and maintain necessary documentation, compliant with IXICO procedures and quality framework. Qualifications and skills required for the role: Essential • Masters/Postgraduate degree from an accredited educational institution in a technical discipline e.g., Computer Science/Compute Vision/Medical Imaging., • Experience in at least one medical imaging modality (e.g. MRI, PET) and relevant image analysis., • Strong academic background., • Proven experience in programming using scripting languages (Bash/Python)., • Proven experience of Linux/Unix command line., • Understanding and working knowledge of Database concepts and technologies (RDBMS/SQL/PostgreSQL)., • Understanding of Object-Orientated development., • Excellent written and spoken communication skills across all levels of the business – fluent in the English language., • Strong organisational skills and great attention for detail., • Ability to prioritise effectively., • Strong team-player, who is acting in a professional and personable manner., • Highly motivated and driven to improve and develop processes. Desirable • Commercial or Academic experience in the neuroscience domain., • Knowledge of GCP, ISO13485, ISO27001 and/or other similar quality systems., • Understanding of Design Patterns., • Understanding of Agile concepts., • Knowledge of Git and DevOps., • Knowledge of Docker and Kubernetes. Benefits • Competitive remuneration package including benchmarked salaries., • Staff Annual Bonus Plans and Annual Salary Review., • Generous employer pension contribution of 6%., • 25 days annual leave, increasing up to 28 days with every year at IXICO., • BUPA private medical insurance scheme., • Life Assurance of 4x annual salary., • Employee Benefits Portal, offering various discounts in retail, food & drink, and entertainment., • Engaging and social environment, with fundraising and sporting activities and seasonal events such as Summer and Christmas parties., • Wellbeing initiatives such as eye tests, flu jabs, and Mental Health Awareness Training., • Employee Assistance Programme offering advice and support on a wide range of topics., • Hybrid working model pattern split between working in the City of London and remotely., • Reimbursement allowance to purchase equipment to support working from home., • Generous employee referral scheme offering £2,000 for referring a successful candidate to the company., • Financial assistance for professional qualifications., • Opportunity to contribute to an industry where your work has an impact every single day. How to Apply IXICO is working hard to create a representative, inclusive and empowered team, because we believe different experiences, perspectives and backgrounds make a better workplace, and ultimately better services. IXICO doesn’t discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class. This is a great opportunity for a dedicated Imaging Applications Engineer to thrive in an engaging and fast-paced environment, to make a difference on an everyday basis. If you think IXICO should meet you, please send us your CV and covering letter by email to or apply directly via LinkedIn. We are looking forward to your application. Please note that our entire business is operating under a Hybrid-Working Model, where UK-based employees are required to attend our London office 2 days a week. If you have got any questions, please reach out to our careers team. Please note that IXICO will process the data provided by you only in order to perform the outlined recruitment exercise. For more details on what data we process and on what legal basis this happens please view our Recruitment Privacy Policy or contact .

Role: Salesforce Marketing Cloud Manager Location: London - Hybrid Paying up to £53,000 A recognised UK based organisation who promote and work to support those in need are undergoing a significant technology transformation, with huge investment into their Salesforce org. They have a super layered tech stack with some niche applications, and Salesforce Marketing Cloud is a centralised and important function within their business. They are looking for a SFMC Lead to be the expert and ensure the platform is robust, compliant and ready to deliver efficiently. This isn't just a BAU role, the environment is evolving and has teeth-sinking work required to ensure stabilisation. Some of your tasks (not limited to) will be platform administration, campaign execution, creative execution, data integrity, ticketing management, engaging with business stakeholders and licensing management. The desired specialist will be technically hands-on across functional piece e.g automation studio, journey builder alongside ideally having some skills across HTML, SQL, AMPscript. We're not expecting you to be an out and out SFMC developer however some coding expertise would be valuable. Requirements: • More than 3 years SFMC experience - hands on, • Exposure with other clouds - Ideal, • Strong stakeholder engagement expertise, not afraid to push back if needed, • Hands-on with SQL, AMPscript, • Proficiency with data management and integration with SFMC, • Salesforce MC Email Specialist Cert - Other certs are desired, • Full right to work in the UK This role required 1 day per week travel into the office in central London. Sponsorship cannot be provided. This is an urgent requirement, interviews will commence from next week so don't wait to apply as we don't expect this opening to be up for long.

Holland Mountain ATLAS BI Developer Build insights. Drive impact. Thrive in pace. Workplace: Hybrid (3 days in the office) Location: London Bridge Are you a BI Developer who loves turning data into meaningful insight and thrives in environments where no two days are the same? At Holland Mountain - Atlas, we’re looking for developers who go beyond technical delivery. This is a role for people who enjoy working at speed, partnering with clients, and navigating complexity with confidence. What makes this role different? This isn’t a traditional, slow-moving BI position. You’ll be working in a dynamic, client-facing environment where: • Priorities shift, • Requirements evolve What you’ll bring We’re looking for BI Developers who combine strong technical skills with adaptability and ownership. You’ll: • Work across multiple projects and stakeholders simultaneously, • Translate unclear or evolving requirements into effective solutions, • Balance delivery across competing priorities — without compromising quality, • Communicate confidently with both technical and non-technical audiences, • Take real ownership of outcomes, not just tasks The kind of experience that stands out You’ll likely have experience in: • Consulting or client delivery environments, • Fast-paced teams with shifting priorities, • Managed conflicting deadlines, • Delivered in ambiguous or rapidly changing environments, • Worked directly with clients or senior stakeholders Core Technical Expertise • Strong SQL Server development skills, including writing and optimising T-SQL queries and stored procedures., • Experience developing and maintaining SSAS multidimensional and Tabular models, including DAX calculations., • Working knowledge of BI and data warehousing methodologies, with the ability to implement solutions in line with agreed approaches and standards., • Familiarity with Azure data services and modern data platform components., • Experience applying data validation and testing techniques to ensure data accuracy, reliability, and quality., • Ability to work within established architectural patterns, data models, and development standards., • Programming or scripting experience is desirable., • Experience working within Data Vault and Kimball modelling approaches. A quick reality check This role isn’t suited to those who have only worked in highly structured, single-project environments. Success here requires flexibility, resilience, and a proactive mindset. And while many candidates say they enjoy fast-paced work, we’re looking for those who can prove it with real examples. Ready to build, adapt, and deliver at pace? Join Atlas and make your impact count.

Lead Data Engineer (Contract) Location: London (2 days onsite per week) Day Rate: £550 Per day (Outside IR35) Duration: min. 6-month contract Start: ASAP Contact: Overview We are looking for a Lead Data Engineer to join a high-performing team delivering advanced data platforms that support financial institutions in tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + lakehouse architecture, enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable, and governed data solutions using modern cloud technologies. The Role • Own the end-to-end design, build, optimisation, and support of scalable Spark / PySpark data pipelines (batch and streaming), • Define and implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls, • Design and manage secure data ingestion frameworks (e.g. Apache NiFi, APIs, SFTP/FTPS) for internal and external data sources, • Architect and maintain secure AWS-based data infrastructure (S3, IAM, KMS, Glue, Lake Formation, Lambda, Step Functions, CloudWatch, etc.), • Implement orchestration using tools such as Airflow, Databricks Workflows, and Step Functions, • Champion data quality, observability, and reliability (SLAs, monitoring, alerting, reconciliation), • Drive CI/CD best practices for data platforms (infrastructure as code, automated testing, versioning, environment promotion), • Mentor engineers on distributed data processing, performance optimisation, and cost efficiency, • Collaborate with data science, product, and compliance teams to translate requirements into scalable data solutions Required Skills & Experience • Strong experience as a Senior or Lead Data Engineer with ownership of end-to-end data solutions, • Expertise in Databricks, PySpark / Spark, SQL, and Python, • Proven experience building and optimising large-scale data pipelines in production environments, • Strong knowledge of cloud data architectures, particularly within AWS, • Experience designing scalable data models and reusable frameworks, • Hands-on experience with orchestration tools such as Airflow or similar, • Solid understanding of data governance, lineage, and compliance requirements, • Experience with CI/CD pipelines and infrastructure as code (e.g. Terraform, CloudFormation), • Strong communication skills with the ability to collaborate across technical and non-technical teams What We’re Looking For • A hands-on technical leader who can design, build, and deliver solutions independently, • Someone comfortable working with high-volume, high-throughput data systems, • Strong problem-solving skills and a pragmatic, delivery-focused mindset, • Experience mentoring engineers and setting engineering standards and best practices, • Ability to balance technical excellence with delivery timelines

Python AI Engineer with Databricks exposure Overview We are looking for a Python AI Engineer (with Databricks exposure) with hands-on experience in Generative AI, backend development, and database-driven applications. The role involves designing and building AI-enabled applications, developing APIs and services to deploy AI models, and integrating them with enterprise databases and cloud platforms. The candidate should be comfortable working across AI solution design, backend development, and data engineering. Key Responsibilities • Design and develop AI and Generative AI applications using Python., • Build backend services and APIs using Flask or Django for AI-powered systems., • Work with enterprise databases (SQL-based systems) to ingest, transform, and manage large datasets., • Develop and integrate GenAI capabilities such as LLM-powered workflows, AI assistants, or automation tools., • Design scalable architectures for AI solutions including model deployment and data pipelines., • Build REST APIs and microservices to integrate AI models with enterprise applications., • Work with cloud platforms (Azure preferred) to deploy and scale AI applications., • Collaborate with data engineers, product teams, and domain experts to build production-grade AI solutions. Required Technical Skills • 7+ years of experience as a Python developer which atleast the last 3+ years have been on AI / GenAI solutions, • GenAI / AI development experience: LLM applications, AI workflows, or AI-enabled automation, • Python development: Strong coding and data processing experience, • SQL and database experience: Querying, data modeling, and data integration, • Backend frameworks: Django or Flask, • API development: RESTful services and microservice architecture, • AI system architecture / solution design: Designing scalable AI applications, • Cloud platforms: Azure AI services preferred, • Data platforms: Experience with Databricks or similar ML platforms is a plus Soft Skills • Strong problem solving and analytical thinking, • Ability to work in cross-functional teams, • Good communication and collaboration skills

Data Analyst London Up to £55,000 This is a great opportunity to join a finance team that is investing heavily in data, systems, and reporting transformation. You will step into a visible role where your work directly supports senior decision-making and shapes how finance reporting evolves across the business. The Company: They are a large, UK-listed organisation operating across the UK and Europe, with a strong focus on long-term asset performance and operational efficiency. The business is undergoing significant finance transformation, modernising its systems, data infrastructure, and reporting capabilities. Data-driven insight sits at the heart of their strategy, with growing investment in analytics and automation. The Role: • Lead the design, development, and ownership of Power BI dashboards for key finance KPIs, • Build and maintain robust data models using DAX and Power Query, • Extract, transform, and consolidate data from multiple finance and operational systems, • Own core reporting processes, including monthly, ad hoc, and bi-annual reporting cycles, • Translate complex financial data into clear, actionable insights for senior stakeholders, • Act as the Power BI subject matter expert within the Group Finance function, • Support ongoing finance transformation initiatives, including new systems and data platforms Your Skills and Experience: • Strong commercial experience using Power BI for financial reporting and analytics, • Advanced capability in DAX and Power Query, • Working knowledge of SQL and relational data sources, • Solid understanding of core financial statements and metrics, • Ability to communicate insights clearly to non-technical senior stakeholders, • Comfortable working in a changing environment with evolving systems and processes

Company Overview A globally recognised reinsurance business, headquartered in the US, is looking to strengthen its International Reserving function with the addition of a Senior Actuarial Analyst. The organisation operates across multiple European hubs, with reserving teams embedded in key locations. Key Responsibilities • Take ownership of reserving analyses across a global facultative portfolio, assessing reserve adequacy and performance, • Support quarterly reserving processes, including monitoring results and investigating key movements, • Contribute to year-end reserving reviews and more detailed portfolio analyses, • Partner with underwriting, claims, pricing, and finance teams to gain a deeper understanding of business performance, • Provide input and peer review within the wider international reserving team, • Play a role in refining reserving methodologies and enhancing existing tools Key Requirements • Nearly or newly qualified actuary (or equivalent), • Around 3 - 5 years of experience in general insurance actuarial roles, ideally with a focus on reserving, • Exposure to reinsurance or a consulting environment would be beneficial, • Strong analytical mindset with the ability to interpret and communicate complex data, • Comfortable working across teams and engaging with stakeholders in different regions, • Self-starter who is confident taking ownership within a lean team structure Technical Skills: • Advanced Excel skills are essential, • Experience with tools such as VBA, SQL, or Python is advantageous, • Familiarity with reserving software (e.g. ResQ) would be beneficial Please note: this role does not offer visa sponsorship.

Tagetik Consultant – London – Permanent An experienced Tagetik Consultant is required by a global Private Markets Investment business to lead the development, optimisation, and day-to-day management of their Tagetik platform. This is a great role for an experience Tagetik professional with strong experience across Analytical Workspace, stored procedures, data manipulation, reporting, and data integration, who enjoys being hands-on. Responsibilities You will act as the technical owner and lead developer of the Tagetik platform, primarily focused on data modelling, advanced system logic, and Analytical Workspace design. This is a hands-on role – requiring regular build, testing, troubleshooting and optimisation. Stakeholder management is important and you will work closely with Finance and IT to ensure data flows, analytics and reporting are accurate. Requirements • Tagetik expert, • Advanced SQL, • ETL, • Excel Add-in reporting, • Analytical Workspace Models This is an excellent opportunity to join an exciting, and ambitious business and to join a professional team improving and maintaining essential systems. Sound like a bit of you? Then send your CV and get involved!

Senior Analytics Engineer - 12 month FTC £78,000 London (hybrid) This is a rare opportunity to take a lead role in a growing Analytics Engineering function at a pivotal moment in its evolution. You will play a central part in a major Lakehouse programme, combining deep technical ownership with the chance to influence how data is modelled, governed and consumed across the organisation. The Company They are a large, complex organisation making continued investment in their enterprise data platform. Analytics sits at the heart of decision-making, with a clear mandate to expand engineering capability and mature the Lakehouse environment. The team is collaborative, technically ambitious and growing, with strong links across Engineering, BI and the wider business. This role sits within a well-established analytics function that is scaling its engineering remit. The Role • Take ownership of the curated or Gold layer within a Lakehouse architecture, • Design and deliver high-quality, analytics-ready data models that support trusted reporting, • Translate complex business requirements into robust SQL and PySpark transformation pipelines, • Shape how data is structured, modelled and served across multiple domains, • Embed data quality, testing, reliability and performance standards into pipelines, • Contribute to CI/CD and modern engineering best practices within the data platform, • Act as a technical mentor, supporting and guiding other Analytics Engineers, • Work closely with Data Engineers, BI teams and business stakeholders to deliver impact Your Skills & Experience • Strong commercial experience as an Analytics Engineer operating in a modern data platform, • Advanced data modelling capability, including dimensional and semantic modelling, • Strong PySpark development experience within a Lakehouse environment, • Advanced SQL skills for complex transformations, • Hands-on experience with Databricks, including pipelines and governance tooling, • A strong engineering mindset, with a focus on reliability, testing and maintainability, • Proven ability to mentor others and provide technical leadership, • Comfortable operating at the intersection of business and engineering

Research Analyst - Crypto / Digital Assets London - hybrid Up to £85,000 Most research roles talk about output. This one is about influence. We’re working with a high-growth, globally recognised digital asset business building a commercial research function that’s already generating serious traction with institutional clients. Since launching commercially, they’ve scaled to a multi-million revenue run-rate - and the ambition is a lot bigger. This isn’t a “sit in the background and write reports” role. You’ll be: • Owning end-to-end research projects, • Building investment-grade theses on major crypto narratives, • Working directly with top-tier clients (think funds, protocols, institutional players), • Using real data to shape opinions - not recycling what’s already out there If you’ve been looking for a role where your work actually gets read, challenged, and used - this is it. What you’ll be doing: • Producing deep-dive research across key areas: L1s, DeFi, infrastructure, stablecoins, exchanges, • Building clear, defensible investment theses (value accrual, token mechanics, market positioning), • Pulling and analysing data using APIs, SQL, Python, • Turning complex data into clear, commercial narratives, • Engaging with clients and internal stakeholders on findings What they’re looking for • Strong background in crypto / digital assets research, • Ability to form original opinions (not just summarise the market), • Hands-on experience with Python and SQL (non-negotiable), • Experience working with on-chain / market data (Dune, DeFiLlama, APIs etc.), • Commercial mindset - understanding how research ties to revenue and clients Why this role stands out • Direct exposure to institutional clients and decision-makers, • Real ownership - not buried in a large team, • Opportunity to build a public profile in the space, • Fast-growing function with clear progression, • Work that actually influences how capital is deployed If interested, please click "APPLY"

Graduate Data Consultant. London (Hybrid) Graduate Scheme Data & AI Salary: £24,500 during training, increasing to £32,250 within your first 6 months on client projects, and up to £45,000 within 24 months. Translate your degree into a high-growth career in Data, Analytics & AI. We’re partnering with an award-winning data consultancy that hires graduates and transforms them into world-class consultants working with leading UK brands. No prior coding background required.No Computer Science degree needed. Why join: You’ll start with a fully salaried 15-week training programme delivered by industry experts, followed by deployment onto real client projects.From day one, you’re building real skills, real experience, and a real career. What you’ll get: Paid 15-week Data & AI training (hybrid, London-based)Hands-on client projects after training. Ongoing coaching, mentorship & performance supportFast-track progression with salary reviews every 6 months. Earn £60k+ within two years if hitting targets. Opportunity to work in the US after two yearsOption to join your client permanently. Free industry certificationsInclusive benefits (mental health support, online GP, free therapy sessions, discounts, social clubs, and more) What you’ll be doing: Depending on project, you’ll work across:Data AnalyticsBusiness IntelligenceData EngineeringAI & Machine Learning. You’ll help businesses: Analyse large datasetsBuild dashboards and reportsAutomate processesCreate insight that drives decisions Tech you’ll be exposed to includes: Python | SQL | Power BI | Tableau | Excel | Cloud Platforms (No experience required all training provided.)

The Role We’re looking for a hands-on Data Engineer to join a growing data team working across AdTech / MarTech. This role is focused on building and optimising data pipelines and models within Snowflake, working with large-scale marketing and media datasets across multiple platforms. You’ll play a key role in shaping how data is ingested, transformed, and structured for analytics and activation, working with complex, often messy datasets from across the media ecosystem. What You’ll Be Doing • Build and maintain data pipelines into Snowflake using modern ELT practices, • Develop scalable data models and views using dbt, • Ingest and integrate data from multiple marketing platforms (APIs, batch, streaming), • Work with datasets from DSPs, paid social, and search platforms, • Blend and transform data across multiple sources into unified datasets, • Ensure data quality, integrity, and reliability across pipelines, • Troubleshoot and optimise existing pipelines and workflows, • Support downstream use cases including BI dashboards and analytics Must-Have Skills • Strong hands-on experience with Snowflake (building views, tables, data models), • Proven experience using dbt in production environments, • Advanced SQL skills, • Experience with Python for data processing, • Working knowledge of AWS (S3, Glue, Lambda or similar) Domain Experience (Critical) • Background in Media, AdTech, or MarTech environments, • Experience working with data from:, • DSPs (e.g. DV360, The Trade Desk), • Paid Social (Meta, TikTok, LinkedIn Ads), • Google Ads, • Strong understanding of how marketing data flows end-to-end What We’re Looking For • Experience building end-to-end data pipelines, • Strong exposure to API-based data ingestion, • Experience handling large, messy, and fragmented datasets, • Ability to create clean, structured datasets for reporting and analytics, • Comfortable working in a fast-paced, evolving data environment Nice to Have • Experience with Airflow or Dagster, • Working with JSON / semi-structured data, • Familiarity with CI/CD pipelines and Git Why Join • Work with high-volume, real-world marketing data across multiple platforms, • Opportunity to own and shape data models and pipelines, • Exposure to modern data stack (Snowflake + dbt + cloud), • Fast-paced environment with strong growth and learning opportunities

Company Overview Hartree Partners is a leading global merchant commodities firm specialising in energy, commodities and associated industries. Jointly owned by senior management and funds managed by Oaktree Capital Management, LP, Hartree has over 28 years of experience in proprietary trading and principal investments. The firm employs over 4,600 individuals worldwide. Find out more about us by visiting our website at: ___ Job Summary The Senior Derivatives Analyst sits at the heart of our Commodities & Equities Operations team, supporting derivative margining across exchange-cleared and OTC products. The successful candidate works on the daily processes that keep our trading activity funded, reconciled, and risk-controlled, while also contributing to the automation roadmap that is reshaping how Operations runs Key Responsibilities & Duties • Cash Management & Cash Reconciliation – Monitor daily cash movements across broker and clearing accounts, ensuring funding is in place to meet margin calls. Reconcile internal cash ledgers against external statements, investigate breaks, and escalate funding shortfalls to Treasury., • Daily Margin Excess / Deficit Reconciliation – Calculate and reconcile margin requirements against posted collateral on a T+1 basis. Identify excesses that can be released and deficits that require funding and coordinate same-day movements with FCMs and clearing counterparties., • Relationship Management with Internal & External Counterparties – Act as a daily point of contact for FCMs, clearing brokers, exchanges and other counterparties. Build constructive working relationships, manage queries professionally, and ensure issues are resolved within tight market deadlines., • Position Reconciliation (T-1 & T-0) – Reconcile firm positions against broker and exchange records on both a previous-day and intraday basis. Investigate and resolve trade breaks by liaising with Middle Office, Front Office, Risk, Brokers and FCMs, ensuring books and records are accurate before margin and P&L cycles run., • Process Automation (Python / SQL) – Run, monitor and improve existing operational processes. Identify manual, repetitive workflows and rebuild them using Python – reducing risk, freeing up capacity, and embedding controls into the new tooling., • Collateral Management & Initial Margin Optimisation – Analyse initial margin drivers across FCMs, exchanges, products and entities, supporting margin optimisation initiatives, collateral strategy, funding efficiency and senior management reporting., • Balance Sheet Optimisation – Partner with Treasury, Finance and the desks to identify opportunities to optimise the firm’s use of balance sheet – for example, through compression, collateral substitution, and more efficient allocation of cash and securities., • Trader Onboardings – Coordinate the operational onboarding of new traders and trading entities, including account setup with FCMs and exchanges, system configuration, trading platforms and ensuring all margining and reconciliation flows are in place from day one., • Position Limit Management – Monitor exchange and internal position limits across products and accounts. Support requests for limit changes and maintain accurate records for regulatory and internal reporting. Requirements: education, competencies & skills • 3–5 years’ experience in Derivatives Operations, Middle Office, Clearing, Treasury, FCM, Commodities Operations or a similar control-focused environment., • Strong understanding of exchange-cleared derivatives, including futures, options, margining, settlement, broker statements, position reconciliation and cash/collateral flows., • Coding ability: hands-on experience with Python, ideally including Pandas and Openpyxl. The candidate should be comfortable reading, writing and debugging code, and motivated to automate real operational workflows., • Strong Excel skills and confidence working with large datasets, reconciliations and exception-based reporting., • Counterparty-facing communication: confidence dealing with FCMs, clearing brokers, exchanges, Middle Office, Front Office, Risk, Treasury and Technology., • Strong analytical and problem-solving skills, with the ability to explain margin movements, cash requirements, breaks and process issues clearly., • Genuine interest in building a long-term career within Operations, with a focus on controls, scalability, automation and operational excellence. Preferred Requirements • Understanding of exchange-cleared and OTC trades – Familiarity with the lifecycle differences between listed and bilateral trades, including clearing, margining and settlement mechanics., • Understanding of derivatives – Working knowledge of futures, options and swaps – their economics, payoffs, and the operational considerations associated with each., • Product knowledge – Exposure to commodities markets including Crude, Ags, Gas, Power and Metals, and an awareness of the contract specifications and conventions that drive day-to-day operations., • Prior experience in an Operations, Middle Office, Treasury, Clearing, FCM or Commodities environment What’s on offer (optional) Direct exposure to a fast-paced derivatives trading environment, hands-on experience with the full margining lifecycle, and the opportunity to deliver tangible automation projects in Python and SQL. You will work alongside experienced Operations, Risk and Trading professionals, and build a network across the front-to-back chain.

Title: Deal Analytics Associate / Assistant Manager / Manager Location: London (Hybrid) Salary: DOE on level. We are working with a growing Deals Analytics team looking to hire an Associate or Assistant Manager to support transaction activity through data driven analysis. This role sits alongside Transaction Services and focuses on using analytics to interrogate large financial datasets during live deal processes. Key requirements (please read carefully): To be considered, you must have: • Experience working within a Deals, Transaction Services, Financial Due Diligence or Deal Advisory environment, • Hands on experience applying analytics within live deals or due diligence processes, • Strong experience using tools such as Alteryx, Power Query, Power BI, SQL or Python, • Experience working with large financial datasets (transaction level, revenue, general ledger or similar) Applications from candidates without direct deal or deal analytics experience will not be considered for this role. Responsibilities: • Analyse large financial datasets to support buy side and sell side transactions, • Build and maintain analytics workflows to support due diligence processes, • Identify trends, risks and anomalies within financial data, • Work closely with deal teams to provide insight and support decision making This is a strong opportunity to join a growing analytics team within a deals environment, working on high profile transactions and developing your capability further.

Interim Data Consultant = £550-650 Per Day We’re partnering with a high-growth fintech scale-up that is redefining how data drives financial decision-making. combining a modern data stack with AI-powered workflows (including Claude Code) to radically speed up how analytics and dashboards are built and iterated. They’re now looking for an Interim Data Consultant who uses AI as part of their day-to-day toolkit to build better dashboards faster, improve data models, and shorten the path from question to insight. This is not a traditional Data Analyst role or a pure Data Engineering role. It’s a hands-on position sitting between BI, Analytics, AI and Engineering where you’ll own the full journey from pipeline and data model through to high-impact dashboards and decision-ready outputs for commercial, finance and portfolio analytics teams. The Role You will: • Own end-to-end delivery: from data pipelines and transformations through to modelling and dashboards, • Build scalable data models in Snowflake + dbt, working closely with a central data engineering team where needed, • Develop high-impact dashboards in tools like Sigma, Power BI, Tableau or Looker, focused on usability for commercial, finance and portfolio analytics teams, • Use AI tools such as Claude Code to accelerate coding, refactoring, documentation, and analytical exploration, • Translate commercial and financial questions into clear, practical reporting and analytics outputs, • Iterate quickly based on feedback, continuously improving structure, performance and usability You’ll be embedded in a commercial, delivery-focused environment where your work is directly tied to how fast the business can understand portfolio and financial performance and make decisions. What They’re Looking For They want a rounded interim data consultant, with strong visualisation experience but not someone who lives only in the dashboards or in backend pipelines. • Strong BI / analytics and dashboard development experience, • Solid data modelling and data pipeline experience (data warehousing concepts are essential), • Experience with Snowflake and dbt or a very similar modern stack, • Strong SQL; Python beneficial, • Day-to-day comfort using AI tools (e.g. Claude Code, LLM-based assistants) as part of your workflow, • Experience working end-to-end rather than relying entirely on separate data engineering teams, • Financial services / investment / Private equity / asset management / fintech exposure highly preferred If you’re the person who likes to shape the data model, tune the pipeline, and craft the dashboard so it all hangs together, this is the role for you. It can also be temp-to-perm for the right candidate. The Stack • Snowflake (must have), • dbt (must have), • Power BI or Tableau or other dashboard (Must have) (existing reporting estate), • Sigma BI (Sigma experience is a bonus, but any strong modern BI background is transferable) - opportunity to work with a new tool!!, • Claude Code and broader AI-enabled analytics tooling Interested? Apply directly or send your CV to

💻 Technical Business Analyst 📍 London (3 days on-site) 💸 Up to £85,000 🏢 Insurtech data platform I'm looking for a Technical BA to join a fast-growing InsurTech platform operating in the London insurance market. This is a hands-on, delivery-focused role sitting on a pricing benchmark product, a genuinely complex, data-intensive environment with multiple third-party integrations and competing stakeholder demands. You'll need to hit the ground running. Key focus areas 🔍 Map and analyse data flows across multiple third-party integrations, understanding where information comes from, where it breaks down, and what's missing 📉 Identify gaps and friction points in requirements before they become delivery problems 📊 Monitor backlog health, traceability and data quality to stay ahead of issues, not react to them 💡 Spot where processes or requirements aren't working effectively and find practical ways to fix them 🚨 Proactively surface risks and blockers, not wait for them to land on someone else's desk Why join? ⭐ You'll be working on a technically meaty product with real complexity, this isn't a tick-box BA role, it's one where your ability to create clarity from chaos will be visible and valued. ⭐ The team operates a POD model with a strong collaborative culture across engineering, QA and product ownership. ⭐ AI tooling is embedded in the workflow (Microsoft Copilot), the business is serious about using it to move faster, not just talking about it. You'll need… ⭐ 5+ years as a Business Analyst in data-heavy or integration-heavy environments ⭐ Proven experience managing requirements across multiple third-party systems with competing stakeholder demands ⭐ Strong Agile delivery experience, user stories, acceptance criteria, backlog health, 3 amigos, the lot ⭐ Data analysis skills and comfort working with SQL and data dictionaries ⭐ Proficiency in Azure DevOps, Jira or Confluence ⭐ The ability to self-direct, you create structure, you don't wait for it Insurance experience is a plus, but financial services, data platforms or complex third-party data environments are all relevant backgrounds. Sound like you? Send your CV and a brief note on why your experience is a match to

Power BI Developer – AVP Job Title: Power BI Developer Pay Rate: £416, £450, and £490 Umbrella Location: London, Harbour Exchange Any specifics re Location/ Hybrid model: 3 days a week in the office Length of Contract: 6 Months About the Role We are hiring an experienced Power BI Developer at AVP level to deliver high quality, scalable business intelligence solutions. This role focuses on designing and developing end to end reporting solutions that support data driven decision making across the organisation. You will work closely with both business and technology stakeholders to transform complex data into clear, actionable insights. What You Will Be Doing • Design, build, and maintain Power BI dashboards and reports end to end, • Develop robust data models to support efficient analytics and reporting, • Create and manage ETL processes to integrate data from multiple sources, • Work with stakeholders to gather requirements and translate them into technical solutions, • Implement data governance, security including RLS, and best practices, • Optimise report performance through efficient queries and data modelling, • Integrate Power BI with cloud and on premise data platforms such as Azure Databricks Fabric, • Enable self service analytics through well structured datasets, • Provide guidance and mentoring to junior developers What We Are Looking For • Strong hands-on experience with Power BI including DAX and Power Query, • Solid understanding of data modelling ETL processes and relational databases, • Proficiency in SQL and working with large datasets, • Experience with Power BI Gateways and deployment pipelines, • Knowledge of data security governance and RLS, • Exposure to Azure Databricks Microsoft Fabric or similar technologies, • Strong analytical thinking and stakeholder communication skills Nice to Have • Experience in Finance Risk or Regulatory reporting environments, • Exposure to broader Power Platform or BI tools Why Join • Work on enterprise scale BI solutions with real business impact, • Opportunity to influence data strategy and reporting standards, • Collaborative and supportive team environment, • Exposure to modern data platforms and evolving technologies Apply Now If you are a Power BI specialist ready to take on a strategic hand on AVP level role apply today. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon/Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

Lead Data Analyst London, Hybrid (3 days per week) £80,000 to £90,000 This is a standout opportunity to lead analytics for one of the most dynamic digital content environments in the UK. You will shape how data informs decisions across podcasts, video, social platforms, and a flagship consumer app, while growing and developing a high‑performing team. If you want hands‑on analytics, genuine leadership responsibility, and real strategic influence, this role offers all three. The Company They are a major player in the UK’s digital media and entertainment landscape, operating across audio, video, social, and emerging digital products. Their data function is well‑established, with modern tooling, cross‑functional squads, and a strong focus on innovation. As the business continues to expand its digital footprint, analytics sits at the heart of product, content, and audience strategy. You will join a culture that values collaboration, curiosity, and continuous improvement. The Role You will lead analytics within a domain focused on consumer behaviour, content performance, and digital product experience. Your work will span team leadership, hands‑on analytics, and shaping the future direction of data within this space. Key responsibilities include: • Managing and developing a small analytics team, providing coaching, feedback, and long‑term growth support., • Leading the analytics roadmap for your squad, prioritising workloads and identifying new opportunities for impact., • Building and maintaining reporting products to support decision‑making across digital content and platform teams., • Conducting deep‑dive analysis into behaviour, trends, and performance across podcast, video, app, and social data., • Working closely with Data Engineers, Data Scientists, Product Managers, and content stakeholders., • Ensuring data quality through structured testing and analytical rigour., • Supporting strategic projects related to digital content expansion, new brand launches, and consumer engagement. Your Skills and Experience You will succeed in this role if you bring: • Strong commercial experience in SQL and data visualisation tools., • Confident hands‑on analytical capability, including experience exploring and shaping large datasets., • Experience mentoring or managing analysts, with a coaching‑led approach to development., • The ability to balance strategic thinking with hands‑on delivery., • Experience working with digital products, content platforms, or media environments., • Clear communication skills and the ability to translate insights for technical and non‑technical stakeholders., • An appreciation for effective dashboard and product design, ideally with some awareness of UX and UI best practice., • Experience with Python for analysis or modelling is beneficial. What They Offer • £80,000 to £90,000 base salary., • Hybrid working (three days per week in London)., • The chance to lead a growing analytics function in a digital‑first environment., • Exposure to cutting‑edge projects across podcasts, video, social, and app‑based products., • Strong opportunities for progression as the digital business continues to scale. How to Apply If this sounds like the right next step for you, please apply with your CV for immediate consideration.

GenAI Full Stack Engineer - Managing Consultant Salary: £80,000 - £88,500 pa + £8,000 Bonus plus benefits, perks and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Newcastle, Glasgow Overview: We’re looking for a GenAI Full Stack Engineer who is passionate about solving real-world challenges through technology. You’ll work closely with senior stakeholders both internally and within key clients to create GenAI strategies that translate business issues into relevant technical solutions and competitive propositions that are scalable, secure, and sustainable. Your Role: • Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents., • Scale existing POCs to production-ready solutions for customer use., • Design and develop Full Stack applications for both GenAI and non-GenAI projects., • Support the development of infrastructure to enable robust end-to-end solutions., • Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: • Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent, • Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite., • GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript)., • LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama., • Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment., • Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose., • Infrastructure as Code (IaC): Exposure to tools like Terraform., • Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar., • CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins., • Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc., • NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred)., • SQL: Experience working with SQL databases like PostgreSQL., • Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you’re ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV to

Databricks Data Engineer (Contract) | London (Hybrid) | £500–£650 per day (Inside IR35) Peaple Talent are working with a data consultancy who partner with a range of enterprise clients to deliver modern cloud data platforms. They’re currently looking for a Databricks Data Engineer to support multiple client engagements across large-scale data transformation programmes. 💻 The Role This is a hands-on Databricks Data Engineering contract where you’ll be working across different client environments, helping design, build and optimise scalable data platforms. You’ll be focused on delivering robust data pipelines and analytics-ready datasets using Databricks, working across cloud environments such as Amazon Web Services or Microsoft Azure depending on the client. The work will range from greenfield builds through to modernisation of existing data estates. 🔧 Key Responsibilities • Design and build scalable data pipelines using Databricks, • Develop and optimise ETL/ELT workflows using Spark (PySpark/SQL), • Support migration and modernisation of legacy data platforms into Databricks, • Improve performance, reliability and cost efficiency across data workloads, • Work closely with Data Engineers, Analysts and Architects across client teams, • Implement data quality, governance and best practices across delivery ✅ What We’re Looking For • Strong hands-on experience with Databricks in a Data Engineering capacity, • Solid experience with Spark (PySpark / Spark SQL), • Proven track record building and optimising data pipelines (ETL/ELT), • Experience working within cloud environments (AWS or Azure), • Strong SQL skills and experience working with large-scale datasets, • Familiarity with orchestration tools such as Airflow or similar, • Good understanding of data modelling and distributed data processing concepts, • Comfortable working across multiple client environments and stakeholders 🎁 What’s on Offer • Day Rate: £500–£650 (Outside IR35), • Location: London, • Remote working: 3 days a week onsite, • Initial 6-month contract (strong likelihood of extension), • Exposure to multiple enterprise data transformation programmes, • Opportunity to work across a variety of Databricks implementations within a consultancy environment Databricks Data Engineer (Contract) | London (Hybrid) | £500–£650 per day (Inside IR35)

Senior Consulting Engineer - Forward Deployed London | Hybrid / client-site as needed | Active SC clearance required I’m supporting a fast-growing data and AI consultancy, founded by ex-Palantir engineers, as they build out a team of SC-cleared Consulting Engineers across data, software and client-facing delivery. This is not a traditional data engineering role. It sits across data engineering, software engineering and technical consulting, working directly with clients across public sector, defence and national security. You’ll be helping organisations make sense of complex data, build practical workflows and applications, and turn technical ideas into tools that genuinely get used. What you’ll be doing: • Working across Python, SQL, PySpark and modern data tooling, • Building data pipelines, workflows and user-facing applications, • Working directly with clients to understand problems and shape solutions, • Translating complex technical work into clear demos and stakeholder updates, • Using Palantir Foundry/AIP where relevant, although previous Palantir experience is not essential, • Contributing to internal product ideas and reusable engineering assets What they’re looking for: • Strong experience in data engineering, software engineering or technical consulting, • Good hands-on ability with Python, SQL and data workflows, • Exposure to PySpark, Spark, ETL, data platforms or application development, • Comfortable working with clients, users and non-technical stakeholders, • SC clearance, active., • Experience in defence, national security, public sector or other complex environments would be highly relevant, • Palantir Foundry, Gotham or AIP experience would be a strong advantage, but is not required This would suit someone who enjoys solving messy problems, working close to the user and building things quickly rather than sitting far away from the outcome. For more information, apply here or message me directly.

Credit Risk Analyst – Python & SQL – London I'm seeking a Credit Risk Analyst to join our dynamic team in London. You will leverage Python and SQL to analyse credit data, build risk models, and deliver actionable insights while ensuring compliance with relevant regulations. Key Responsibilities: • Analyse credit portfolios and assess risk exposure., • Develop and maintain risk models using Python and SQL., • Generate reports and dashboards to communicate findings to stakeholders., • Ensure credit risk activities comply with regulatory requirements., • Collaborate with business teams to support data-driven decision-making.Requirements:, • Strong experience with Python and SQL., • Solid understanding of credit risk frameworks and regulatory requirements., • Previous experience working with financial regulations (e.g., Basel III, IFRS 9)., • Excellent analytical and problem-solving skills.

Join Our Team as an Automation Application Developer! Located: London (2-3 days a week) Rate: £415-£490 Umbrella Duration: 6 months but known for long term! Interviews: ASAP (Please note first stage will be face to face in London) Are you ready to make a splash in the exciting world of Investment Banking? We're on the lookout for a talented Automation Application Developer to join our dynamic team at a leading financial institution. If you’re passionate about technology and eager to drive efficiency through innovation, this is the perfect opportunity for you! Key Responsibilities: As an Automation Application Developer, you will: • Design, develop, and implement automation solutions that streamline processes and improve efficiency., • Collaborate with cross-functional teams to identify automation opportunities and gather requirements., • Maintain and enhance existing automation applications, ensuring optimal performance and reliability., • Troubleshoot and resolve issues related to automation tools and processes., • Document your work meticulously and contribute to knowledge sharing within the team. What We’re Looking For: To thrive in this role, you should possess: • Proven experience in C# .NET & SQL development., • Good experience of Windows application development., • Extensive experience with UiPath RPA technologies. Must have used this to create at least 20 processes of varying degrees of complexity, • Leading experience in RPA Solution Design, • Strong Experience in Unattended robot development, • Experience in RPA using Citrix Platforms, • Experience in Uipath using Standalone as well as Cloud setup., • Experience in using Orchestrator (e.g., publishing, creating assets, triggers, queues etc), • Develop Proof-Of-Concept for new applications or technology Ready to Take the Leap? If you’re excited to be part of a forward-thinking team and make a real difference in the financial sector, we want to hear from you! Join us in shaping the future of finance and insurance through automation! Let’s create something amazing together! We can’t wait to meet you! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Power BI Engineer London Up to £55,000 This is an opportunity to play a key role in a growing data and analytics function, designing high‑impact reporting solutions that shape how the business makes decisions. If you enjoy building elegant dashboards, creating robust semantic models, and working closely with stakeholders to turn data into insight, this role provides both ownership and strong career development. The Company They are an established organisation investing in modern data capabilities to improve reporting, analytics and business performance. Their data and analytics team partners closely with commercial and operational functions, enabling better visibility into sales, inventory and customer behaviour. With a growing data estate and a clear focus on insight adoption, they are strengthening their reporting foundations and looking for someone who can elevate their Power BI environment. The Role • Design, develop and maintain Power BI dashboards, datasets and reporting solutions that meet business requirements., • Translate stakeholder needs into actionable visual analytics that highlight trends and performance drivers., • Build and manage semantic models, including measures, KPIs and optimised relationships., • Write clear and efficient DAX to support calculations and time‑intelligence logic., • Work with data engineers to source, shape and transform data using Power Query and SQL., • Connect to a range of data sources such as SQL databases, Azure services, Excel and APIs., • Apply governance best practices, including row‑level security, workspace management and performance optimisation., • Communicate insights clearly to non‑technical teams and support the adoption of reporting outputs. Your Skills and Experience • Strong commercial experience developing dashboards and datasets in Power BI Desktop and Service., • Confident writing DAX and applying semantic modelling principles., • Strong SQL capability and experience working with structured data., • Skilled in Power Query for transformation and shaping., • Able to collaborate effectively with technical and non‑technical stakeholders., • Clear communicator who can present insights in an accessible way., • Awareness of the wider Microsoft data ecosystem, including tools such as Microsoft Fabric, is beneficial., • Experience within a retail environment is advantageous but not essential.

London | Hybrid, 3 days per week in the office Salary: up to £50,000 We’re hiring for a fast-growing London marketing and media agency of 85+ people, working with major global brands and competing successfully against much larger networks. What we’re looking for: • Strong hands-on BI, data analysis or data engineering experience, • Advanced SQL and Google BigQuery skills, including query optimisation, • Experience building dashboards and reporting solutions in Data Studio and/or Tableau, • Good knowledge of marketing and advertising data, including paid search, paid social, programmatic, web analytics or CRM, • Someone who can understand what teams need to know and build the reporting, insight and recommendations to support better decisions, • Confidence working with non-technical stakeholders across account, media and strategy teams This is a hands-on role owning and improving an established marketing data stack, with a focus on BigQuery and Data Studio. What you’ll be doing: • Building, improving and monitoring SQL-based data pipelines in BigQuery, • Bringing together data from platforms such as Google Ads, Meta, DV360, Siebel, GA4 and other marketing sources, • Creating practical data models that make reporting easier, faster and more consistent, • Building dashboards and reports for campaign performance, client reporting and internal KPIs, • Creating reusable reporting templates, standardised views and data products, • Producing insight around attribution, funnels, cohorts, budget pacing and forecasting, • Helping account, media and strategy teams spot trends, risks and opportunities, • Working with Data and Ad Ops teams to support accurate data collection, tagging and integration, • Improving data quality, documentation, reporting standards and governance Experience with Python, APIs, Supermetrics, custom scripts, connectors or ETL tools would be a bonus, but isn’t essential. Why join? • Real ownership of an established data infrastructure, • Visible impact on campaign performance and client decision-making, • A growing agency that has doubled in size over the past three years, • A high-performing, streamlined culture with direct communication and strong leadership

Data Engineer - Insurance £80,000 1 Year FTC London Based - 2/3 days in Office We’re looking for a Mid Data Engineer to help design, build, and operate scalable, reliable, and high-quality data infrastructure across a modern Microsoft-based data platform. This role sits at the intersection of software engineering and data management, ensuring that data flows seamlessly from source systems into analytics-ready structures that power insight, reporting, and decision-making across the organisation. You’ll play a key role in shaping how data is built, trusted, and consumed—working closely with business domains, analysts, data scientists, and platform engineers. Data Engineering & Pipelines • Build and maintain robust ETL/ELT pipelines using Microsoft Fabric (Data Factory, Lakehouse, etc.), • Design reliable ingestion processes from APIs, databases, and file-based sources, • Apply best-practice pipeline design patterns for resilience and re-runnability Data Modelling & Analytics Enablement • Design analytical data models that are performant, maintainable, and business-friendly, • Apply dimensional modelling techniques for BI and reporting use cases, • Build and optimise Power BI semantic models and datasets Microsoft Data Platform • Contribute to the evolution of a modern Azure/Microsoft data platform, • Optimise pipelines for performance, scalability, and cost efficiency, • Work confidently across cloud data storage and compute services Data Mesh & Domain Ownership • Support domain-oriented data product development in partnership with business teams, • Promote standards for naming, metadata, documentation, and discoverability, • Enable decentralised data ownership while maintaining consistency Experience • Proven experience as a Data Engineer in a modern cloud data environment, • Strong SQL skills (complex queries, joins, optimisation), • Hands-on Python for data processing and pipeline development, • Experience with Microsoft Fabric and Power BI (datasets, semantic models), • Understanding of data modelling for analytics and reporting, • Familiarity with CI/CD, testing, version control, and data quality practices, • Exposure to data mesh / domain-oriented data ownership (desirable)

Analytics Engineer London £65,000 to £70,000 This is a high impact Analytics Engineer role where you will help rebuild and shape a central data capability at a pivotal point. You will join a lean core team with strong executive backing, giving you real ownership over data models, transformation logic and analytics foundations that support multiple product areas across the business. The Company They are a well established, consumer focused digital business operating at scale, with a strong emphasis on data driven decision making. Data plays a central role in how products are built, measured and improved, and the organisation is continuing to invest in its modern data platform. With a collaborative culture and clear appetite to improve analytics maturity, this is an environment where hands on engineers can make a visible difference. The Role • Act as a core member of the central analytics function supporting multiple product verticals, • Design, build and maintain robust data models for analytics and reporting, • Develop transformations using dbt on a Snowflake data platform, • Work closely with data infrastructure, product and analytics stakeholders to deliver scalable data solutions, • Contribute to rebuilding core analytics capability following a period of underinvestment, • Take a practical, delivery focused approach with limited reliance on heavy stakeholder management Your Skills and Experience • Strong commercial experience using SQL for analytics and data transformation, • Proven capability in dimensional data modelling, with Kimball style approaches preferred, • Hands on experience with dbt for transformation and modelling, • Experience working with cloud data warehouses, ideally Snowflake, • Comfortable using Python or similar languages for data tasks and logical problem solving, • Able to work autonomously in a small team and take ownership of end to end analytics solutions

Position: Data Analyst / £70k + 10% bonus Industry: London insurance market Workplace: 2 days a week in the office - Central London Our client are a leading insurance broker in the city of London. If you're a Data Analyst with experience in the London Insurance Market, please apply. You can 📧 your cv to or message me on LinkedIn. What do we need? 🤔 We need you to have credible knowledge of the London Market as a Data Analyst. You'll need strong Power BI, SQL and MS Fabric experience. One of the 🔑 bits to this role is that you have experience of modern methods of working, ideally with experience in an Azure environment. Tech environment: MS Fabric Azure / DevOps / Automation Policy Admin Power BISQL ServerETL - Modelling Data Factory - Integration tool Azure SQL DB You'll be joining a company who are one of the largest 💪🏼 in the Lloyd's insurance market and a Data Practice that is growing exponentially, here in the UK and Australia. If this is good timing and you're keen to see the full position description, please do get in touch ☎️ I look forward to hearing from you. #dataanalyst #fabric #powerbi #sql #azure #londonmarket #insurance #data #london

Data Product Manager London Hybrid, 2 days a week on site Up to £70k + bonus Overview As a Data Product Manager, you will play a key role in delivering high-quality data platforms, products, and analytics solutions. Working closely with Engineering Leads and cross-functional teams, you will define the vision, strategy, and roadmap for data initiatives, ensuring alignment with broader business objectives. You will focus on solving meaningful problems through innovative and scalable data solutions, enabling teams across the organisation to make informed, data-driven decisions while improving operational efficiency. Key Responsibilities • Define and execute the strategy for data platforms, core data products, and analytics solutions, • Own the product lifecycle from ideation through to delivery and continuous improvement, • Collaborate with stakeholders to gather requirements and translate business needs into product solutions, • Partner with engineering teams to determine delivery approaches, timelines, and technical execution, • Ensure data products are scalable, user-centric, and aligned with governance and quality standards, • Drive adoption of data products and promote a culture of data-driven decision-making, • Prioritise initiatives based on business impact, feasibility, and strategic alignment Why This Role Matters This role is central to enabling a data-driven organisation. By delivering scalable, accessible, and well-governed data solutions, you will help teams unlock insights, improve decision-making, and drive innovation. You will also contribute to building a culture of data ownership and empowerment across the business. About You • Proven experience in data product management, including work with data platforms, models, or analytics products, • Strong technical understanding of data systems, analytics, and data governance principles, • SQL, databricks, AI/ML product experience, • Ability to collaborate effectively with both technical and non-technical stakeholders, • Experience with agile methodologies, product lifecycle management, and roadmap planning, • Customer-focused mindset with a track record of solving high-impact problems, • Comfortable managing end-to-end product delivery in a cross-functional environment, • Strong willingness to learn, adapt, and grow within the role

C# .NET Developer | Azure | Contract | London Hybrid | up to £530/day Inside IR35 Enterprise Digital Transformation Programme £530 per day | Inside IR35 Hybrid – 3 days onsite in London I’m currently working with a global technology consultancy supporting a major UK enterprise organisation on a significant transformation programme, and we’re looking for a strong C# .NET Developer to join the engineering team on a contract basis. This is an excellent opportunity to work in a modern cloud-first environment, helping to deliver scalable backend applications within a fast-paced enterprise programme. We’re looking for a developer with roughly 4–7 years of commercial experience, ideally someone who is still hands-on technically and enjoys building robust backend systems in modern Microsoft environments. Required experience • Strong commercial experience with C# / .NET backend development, • Hands-on experience with Microsoft Azure, including:, • Azure App Services, • Azure Functions, • Azure SQL, • Azure Service Bus, • Experience building and maintaining CI/CD pipelines using Azure DevOps, • Strong understanding of microservices architecture, • Experience building and consuming REST APIs, • Exposure to performance optimisation, scalability, and secure coding practices, • Comfortable working in Agile / Scrum delivery teams, • Experience collaborating with distributed technical teams and business stakeholdersNice to have, • Exposure to trading, commodities, utilities, or enterprise transformation environmentsContract details, • Rate: Up to £530 per day, • IR35: Inside IR35, • Location: London, • Working pattern: 3 days onsite per week, • Contract: 6 months initial contract with strong extension potentialThis role would suit a strong mid-level to senior engineer looking to join a high-profile enterprise programme with a modern Microsoft tech stack. If this sounds relevant, apply now or reach out directly for a confidential discussion.

🚀 Databricks Data Engineer (Contract) 🚀 📍 2 days per week onsite in London 📅 ASAP Start -6-Week initial Contract 💰 Outside IR35 We’re supporting a Databricks Delivery Partner on a short-term, high-impact migration engagement and are looking for a strong hands-on Databricks Data Engineer to join the project immediately. This piece of work will focus on migrating data tables and ETL workflows from AWS Glue into Databricks, working closely with an experienced delivery team in a fast-paced consulting environment. 🔑 The Role • Migrate existing data pipelines and tables into Databricks, • Build and optimise scalable PySpark-based data workflows, • Support Lakehouse and Delta architecture implementation, • Work across ETL orchestration, transformation and optimisation, • Collaborate directly with technical stakeholders and delivery teams 🎯 Required Experience • You must be Databricks Partner Programme vetted to be considered for the role, • Experience within a Databricks Delivery Partner / consulting environment, • Databricks Certified, • Strong PySpark / Spark / SQL capability, • Experience with ETL and data migration projects, • Exposure to orchestration tooling such as AWS Glue or Azure Data Factory, • Comfortable delivering in fast-moving project environments 📩 Drop me a message or email to find out more -

• Job Title: Guidewire Technical Architect, • Location: London - Hybrid- 3 days onsite/week, • Duration: 30/04/2027, • Pay Rate: £400 per day through FCSA Umbrella Job description: • Aptitude to work in Implementation, Upgrade and support project with a strong niche skill of Guidewire (Policy, Billing & ClaimCenter and Guidewire InsuranceSuite) including on-prem and Cloud/SaaS version., • Role requires client co-ordination and deep functional or insurance (P&C) industry expertise especially on Personal and/or commercial lines. Experience Requisite Total Experience: 14+ years Guidewire Exp: 8+ years Must have Skills: • Domain Expertise: o good experience in Property and Casualty insurance domain • Guidewire Skills: o Strong functional understanding of Guidewire Insurance Product Suite (On-Prem and Cloud) o Guidewire Certified Resource – preferably ACE across modules o Experience with policy, claim, and billing life cycles and transactions in Guidewire • Configuration Expertise: o Hands-on experience with Guidewire xCenters (version 10.x & cloud/SaaS) configuration including: o Workflows o Data Model o Rules o Entity Creation/Modification o Benefit Management o PCFs customization o Validations o Widgets and their attributes o Integration Mechanisms o Guidewire Data Model • Customization & Integration: o Sound knowledge of Guidewire xCenters (version 10.x & SaaS) customization and integration (Intra and Inter system integration) using REST and SOAP APIs • Technical Skills: o Experience with batch processes, Guidewire Messaging framework, and OOTB plugins o Familiarity with Infra concepts and deployment architecture (WMB, WAS, and Apache) o Strong knowledge on Software architecture and design in Guidewire Ecosystem • Data Analysis: o Ability to write SQL queries for data analysis. • GW Cloud/SaaS Offerings: o Working Knowledge on GW Cloud/SaaS Offerings including GT Framework, Integration Gateway, Advance Product Designer (APD), Autopilot, Underwriting Workbench and few others • Project Management: o Working experience in implementation AMS programs o Experience with defect triaging, estimation, stakeholder management, and application enhancements. o Ability to lead Team and manage client stakeholders o Contribute to RFP/project proposals Good to Have • Version Control & Ticketing Systems: o Experience with Git repository and ServiceNow • Additional Experience: o Informatics experience (working with information technology systems) is a plus Soft Skills: o Excellent communication skills (mentioned twice for emphasis) o Adaptability in client implementation environments o Eagerness to learn and apply new technologies for application improvement.

Technical Project Manager London | Fully onsite Salary up to 90k We are partnering with a fast growing technology driven organisation based in central London that operates in a highly analytical and engineering led environment. They are looking to hire a Technical Project Manager to support delivery across multiple complex systems and development initiatives. This is a hands on role working closely with software engineers and technical stakeholders, owning delivery plans, managing priorities, and ensuring projects are executed efficiently in a fast paced setting. The role will include: • Managing multiple technical projects end to end across software and data platforms, • Building and maintaining delivery roadmaps while adapting to changing priorities, • Working closely with developers and researchers to coordinate workloads and timelines, • Identifying delivery risks and implementing mitigation strategies, • Improving project management frameworks, documentation and reporting, • Supporting process improvement and resource planning across teams, • Acting as a key bridge between technical delivery and business objectives Key skills and experience: • Proven experience delivering complex technical or software projects, • Strong understanding of IT systems, software development and infrastructure, • Background working with developers in an engineering led environment, • Programming exposure ideally in C# and the .NET ecosystem, • Database experience such as SQL Server, Oracle or equivalent, • Experience working with version control and project management tools, • Strong communication skills with the ability to manage technical and non technical stakeholders, • Highly organised with strong attention to detail and prioritisation skills Why apply: • Salary up to 90k depending on experience, • Fully onsite role in a collaborative London office environment, • Work alongside highly technical engineers and researchers, • Flat structure with minimal bureaucracy, • Long term growth and progression opportunities, • Exposure to modern technology and advanced systems

Senior Crypto Research Analyst - FinTech Orbis is partnering with one of the most exciting and ambitious FinTech firms in the Cryptocurrency space as they invest in their globally renowned client-facing research offering. They are now hiring a Research Analyst with strong analytical skills (SQL / Python) who can turn Cryptocurrency insight into clear, engaging research that clients genuinely value. This is an incredible opportunity for an analytical Research Analyst who is genuinely passionate about cryptocurrency. You will gain unique exposure to real digital assets insights, shaping critical thought leadership for a global client base which includes many of the biggest and most recognised names in Investment Management and Trading. Your key responsibilities in this role will be: • Leveraging Cryptocurrency data and insights to produce deeply valuable and engaging written thought leadership and publications for Trading and Investment clients, • Liaising directly with end-clients to become an SME in what cryptocurrency insights Trading and Investment businesses are interested in, to feed into product development, • Using SQL and Python (Pandas) to pull and analyse Digital Assets and Cryptocurrency market data from different sources To be a successful applicant, you will need: • 3+ years commercial experience working in the DeFi / Cryptocurrency / Digital Assets space with strong exposure to the Investment Management / Trading industry, • An exceptional ability and proven experience of write engaging and thought-provoking research publications from financial asset insights (ideally digital assets), • Strong data manipulation and analytical experience with SQL and Python (Pandas) with a proven ability to derive insights from complex datasets, • Experience with Layer 1 and Layer 2 architectures as well as on-chain data tools (e.g. Nansen, Dune or Glassnode) If you feel your experience matches the above, please apply with an up-to-date copy of your CV in the first instance

Managing Engineer – Forward Deployed Level: Senior / Manager Location: London (hybrid, client-site as required) Salary: Up to £85,000 depending on experience About the Role Our client is a specialist data and AI consultancy focused on delivering real-world impact through advanced data platforms and AI. Now part of a global consulting organisation, they partner with major public and private sector institutions to solve complex, mission-critical problems. This is a leadership role within delivery. You will own client relationships, lead engineering teams, and be accountable for delivering high-impact data and AI solutions in live operational environments. The role combines hands-on engineering with team leadership and client advisory, with a strong emphasis on ownership, pace, and outcomes. What You’ll Be Doing • Owning end-to-end delivery of complex client problems, from architecture through to deployment, • Leading and managing a team of engineers, setting direction, maintaining standards, and driving output, • Designing and delivering data solutions across platforms, including low/no-code tooling and code-based approaches (Python, PySpark, SQL), • Overseeing the development of user-facing applications and workflows using TypeScript and React, • Acting as the primary client interface, shaping requirements and translating technical solutions into business impact, • Embedding AI capabilities into operational systems using modern AI tooling, • Driving iterative delivery cycles, ensuring rapid build, demo, and refinement loops with stakeholders, • Feeding project learnings back into internal product development to create reusable assets and IP, • Leading from the front in a collaborative engineering culture, contributing to knowledge sharing and capability uplift Ideal Background • 6+ years’ experience in software engineering, data engineering, or full-stack development, • Strong proficiency across multiple languages, including Python and SQL, with exposure to TypeScript and/or React, • Deep understanding of data engineering principles, including ETL pipelines, distributed processing, and data architecture, • Experience working in client-facing or consulting environments, with ownership of stakeholder relationships, • Proven ability to lead and develop engineering teams in delivery-focused settings, • Exposure to Palantir (Foundry, Gotham, or similar) or comparable data platforms is strongly preferred, • Strong communication skills, with the ability to influence senior stakeholders and simplify complex topics, • High level of ownership, accountability, and comfort operating in ambiguous, fast-moving environments What You’ll Receive • Ownership of high-impact projects across defence, public sector, and critical infrastructure, • Leadership responsibility with clear progression into more senior roles, • Exposure to cutting-edge data platforms and AI technologies, • A high-performance, low-ego engineering culture with strong collaboration and visibility, • Opportunities to shape internal products and contribute to long-term IP development, • Competitive salary, bonus, and benefits package Who Should Apply This role suits experienced engineers who have moved beyond individual contribution and are now leading teams and owning delivery. It is a strong fit for individuals who combine technical depth with client-facing capability and want to operate in environments where their decisions directly impact outcomes. A senior, client-facing engineering leadership role combining hands-on delivery, team management, and ownership of complex data and AI programmes in high-stakes environments.

Job title: Data Engineer This role is paying up to £80,000 p/a and is hybrid working in London. Must have insurance experience Role overview We are looking for a Data Engineer with strong technical skills and experience in the insurance sector to join a fast-paced data team. Key Responsibilities • Build and maintain scalable data pipelines (full ETL lifecycle), • Perform data cleaning, transformation, and integration, • Work with Microsoft Fabric, Notebooks, Python, and PySpark, • Manage and develop solutions using SQL Server and Cosmos DB, • Handle multiple data formats and support data processing workflows, • Collaborate closely with Data Engineering and Business Intelligence teams across onshore and offshore locations Requirements • Proven experience as a Data Engineer, • Strong skills in Python, PySpark, and Microsoft Fabric, • Experience with SQL Server and Cosmos DB, • Ability to design and deliver ETL pipelines, • Comfortable working in high-pressure environments Desirable • Insurance industry experience (ideally 2+ years), • Experience within insurers or carriers strongly preferred We are seeking a resilient, adaptable engineer who can thrive in a collaborative and fast-moving insurance data environment.

ABOUT US Onmo believes that everyone has the right to manage their money with confidence. Our vision is to bring better clarity, intelligence, and technology to Credit Cards, allowing our customers to understand their money, have more control and flexibility, and make the best financial decisions. We’re delivering that experience through a product our customers trust and rely on every day. We’re a young company with big ambitions and the resilience to see them through. We treat change as an opportunity, not a disruption, and we stay efficient and focused because we know that’s how ambitions turn into success. We have an incredible team in place. You’ll love working here if you believe that simplicity is the best strategy. ABOUT THE ROLE • Optimising Risk Adjusted Margin across all areas of the credit lifecycle from Onboarding to Collections. • Improving product offering, analyse customer friction areas and propose solutions incorporating business objectives and customer outcomes. • Define commercial strategy and continuously optimise it to grow the business while maintaining strong returns • Discover insights from data using tools like Python and SQL to find opportunities and optimise our strategy • Seek out novel strategies and commercial approaches we can take advantage of, • Obsess over competitor trends and our performance through our diverse acquisition channels, responding quickly to changes in the market • Collaborate cross-functionally with product, engineering, data, and our external partners to improve funnel performance • Monitor and assess the success of implemented strategies and continuously identify areas for improvement. ABOUT YOU • Daily coding experience, with proficiency in Python and SQL ideally, • Proven experience in credit risk or commercial strategy roles, ideally within consumer lending., • A strategic mindset and the ability to translate complex data into clear, actionable decisions., • A focus on delivering results that align with both commercial and customer needs., • A collaborative, open approach and a willingness to challenge your own assumptions FCA COMPLIANCE & CONSUMER DUTY At Onmo we all take collective responsibility for our individual roles in creating the best outcomes for our customers. In this role that involves; • Identifying and raising risk events in a timely manner when spotted, • Creating communications in line with Financial Promotion guidance, • Keeping up to date with changes in relevant regulatory rules, • Completing mandatory training within allotted deadline, • Following the FCA Conduct Rules; o You must act with integrity o You must act with due skill, care and diligence o You must be open and cooperative with the FCA, PRA and other regulators o You must pay due regard to the interests of customers and treat them fairly o You must observe proper standards of market conduct

A leading global asset manager is seeking to hire a Fund Reporting Analyst to join its London-based reporting team. This is a high-impact role within a business known for its institutional client base, strong investment performance, and focus on innovation. The Opportunity You’ll be responsible for delivering high-quality fund and client reporting, while supporting the evolution of reporting capabilities through automation, data transformation, and modern technology. This role offers strong exposure to investment and distribution teams, with the opportunity to directly influence reporting quality and client experience. Key Responsibilities • Produce accurate, timely fund reports, presentations, and marketing materials, • Take ownership of end-to-end reporting processes and stakeholder delivery, • Drive improvements in reporting efficiency, scalability, and quality, • Support reporting transformation initiatives, including system and data migration, • Partner with internal teams to enhance reporting output and client insight, • Identify opportunities to automate and streamline reporting workflows Key Requirements • Experience in fund or client reporting within asset management, • Strong understanding of Fixed Income and Multi-Asset products, • Excellent analytical and problem-solving skills with high attention to detail, • Ability to present complex investment data in a clear, client-friendly format ⚠️ Technical Skills (Essential) • Advanced SQL – REQUIRED (core, hands-on part of the role), • Advanced Excel and PowerPoint, • Experience with reporting tools / data platforms (e.g. Snowflake, Tableau) highly desirable, • Python and interest in automation / AI tools a strong advantage Why Apply? • Join a high-performing, global investment firm, • Work on cutting-edge reporting transformation initiatives, • Gain exposure to front office, clients, and senior stakeholders, • Be part of a team driving automation and innovation in reporting

We are seeking a Technical Trainer to lead impactful training programs across cutting-edge technologies, with a strong focus on Starburst, Dell Data Lake solutions, and Data Warehousing frameworks. This role plays a critical part in our AI & Data Practice, helping clients and internal teams gain the technical knowledge and practical skills needed to harness the full potential of their data architecture. You will contribute directly to our Training Academy’s mission: enabling organizations to implement and scale AI and data technologies — including cloud-native analytics, distributed SQL engines, and unified data lake strategies — to drive meaningful business outcomes. 1. Training Development · Design and develop high-quality training programs focused on Starburst, Dell Data Lakes, and Data Warehousing architectures. · Create engaging, hands-on materials such as labs, case studies, presentations, learning content that support enterprise data analytics adoption. Inline with directives given by line manager · Ensure training material is tailored to a wide range of audiences, from data engineers to business analysts. 2. Training Delivery · This is a not traditional teaching/ training this is facilitation, so it is critical to deliver workshop style interactive facilitation experiences that centre around your attendees. · Deliver live, virtual, and hybrid training sessions that promote hands-on exploration of Starburst and Data Lake environments. · Tailor instructional methods to suit technical and non-technical audiences; apply real-world scenarios from data warehouse modernization and lakehouse integration. 3. Training Evaluation · Actively seek feedback from participants and input from team members to ensure your content and deliver is always the best it can be · Use feedback and learner analytics to refine future training experiences and drive continuous improvement. 4. Innovation & Alignment · Stay up to date with advancements in AI, data lakes, data warehouse technologies, and distributed query engines like Starburst. · Collaborate with the wider AI & Data team to align training strategies with organizational goals and emerging data platforms. · Integrate new methodologies, tools, and technologies to enhance training delivery and learner engagement. Ideal Candidate Profile Successful Trainers Will Be Able To: · Lead training initiatives involving modern data architectures, including Dell ECS/Elastic Data Lakes, Starburst Presto/Trino, and cloud-based data warehouse solutions. · Facilitate hands-on sessions that allow learners to work with distributed SQL engines and query federated data across hybrid environments. · Translate complex AI and data ecosystem concepts into accessible, role-relevant learning paths. · Utilize tools and techniques for interactive virtual learning: whiteboarding, simulations, and interactive exercises that mirror real-world data workflows. Skills and Experience Required · Proven experience designing and delivering technical training, to both technical and nontechnical users ideally within a software vendor, data platform provider, or cloud services organization. · Strong knowledge of data engineering, AI/ML fundamentals, and data platform architecture. · Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). · Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. · Organized, adaptable, and confident delivering training across time zones and cultures. · Willingness to travel occasionally to client sites or training hubs

Job Description Join as a visionary Full Stack Developer, leading transformative development with integrated solutions across front and back-end, bridging the technology-business gap and shaping the future with innovative user experiences. Join as a Full Stack Developer and lead transformative development, crafting innovative solutions across front and back-end with integrated services and APIs. Embrace your leadership role, creating conceptual architecture to meet precise client needs, while bridging the technology-business gap with exceptional communication. Elevate your career in this dynamic journey of Full Stack Development, shaping the future and making a lasting impact on clients. Together we do what matters. Key responsibilities • Analyze, design, develop, implement and maintain application code in a variety of contexts, • Use .NET and Azure ecosystem to build scalable applications which power modern framework-driven web apps., • Build and automate the features and services that model complex business problems, power enterprise-scale systems and drive innovative user experiences, • Implement APIs and Microservices through database design, data access and ORMs and consume said APIs to build feature-rich applications, • Develop scalable and cloud-based solutions, with consideration to security and performance, • Harness modern development and Azure DevOps practices including CI/CD, containerization, automated testing Job Qualifications Habilities and experience • Programming: C# / .NET, JavaScript/TypeScript, • Service Development: building web applications and web APIs using .NET and cloud services, • Cloud: Azure and others, • Database: (worked with one or more of) SQL Server, Azure SQL, Entity Framework, CosmosDB, • Design & Style: HTML5, Responsive/Adaptive Design, CSS3, Bootstrap, • Frameworks: (Worked with one or more of) Angular, React, NodeJS, Vue.js, or equivalent JavaScript, • DevOps: Git, Azure DevOps, GitHub, • Nice to haves: Azure AI Foundry, Semantic Kernel or Autogen Sponsorship would not be provided - Kindly email your CV to me at -

🚀 Technology Solution Architect | Leading International Law Firm | London (Hybrid) | £80,000 - £120,000 I’m currently working with a leading international law firm who are looking to hire a Technology Solution Architect to join their growing Architecture function. This is a fantastic opportunity to join a highly respected Technology team where architecture is central to the firm’s strategy. Technology is heavily invested in and plays a key role in enabling complex legal work, global operations, and ongoing digital transformation. You’ll be joining a small, high-impact architecture team (3 people total) working directly alongside the Head of Architecture, with excellent visibility across both technical and business stakeholders. This role will suit someone who enjoys hands-on solution design, complex integration challenges, and working closely with senior stakeholders in a fast-paced, collaborative environment. Communication is absolutely critical - you must be confident translating complex technical designs into clear, simple language for both technical teams and senior non-technical audiences. The Role As a Technology Solution Architect, you will be responsible for designing and delivering end-to-end enterprise solutions aligned to architecture standards, security principles, and business objectives. You’ll work across multiple domains including cloud, data, infrastructure, and application teams to ensure solutions are scalable, secure, and supportable. Key responsibilities include: • Designing end-to-end technical solutions across enterprise platforms, • Producing HLDs, LLDs, and architecture documentation, • Defining APIs, integration patterns, and data flows, • Working closely with delivery teams through build and implementation, • Ensuring alignment with enterprise architecture standards and governance, • Supporting technology selection and build vs buy decisions, • Defining and validating non-functional requirements (performance, scalability, resilience, security), • Producing architectural decision records (ADRs), • Engaging and influencing senior stakeholders across the business, • Collaborating with cloud, data, security, and engineering teams Tech Environment • Microsoft Azure (App Services, Functions, Service Bus, APIM), • SQL Server, • Enterprise integration platforms & APIs, • CI/CD pipelines & DevOps practices, • Modern enterprise architecture tooling Experience with legal platforms such as iManage, Aderant, Intapp (or similar enterprise systems) is highly desirable. What They’re Looking For Essential: • Experience in Solution Architecture, Technical Design, or Senior Engineering roles, • Strong integration architecture background (APIs, messaging, system design), • Azure cloud experience, • Strong understanding of security, scalability, and resilience principles, • Experience in complex enterprise environments, • Excellent communication and stakeholder management skills, • Ability to clearly explain technical solutions to non-technical audiences, • Legal sector experience (preferred), • Professional services or regulated industry experience (FS, insurance, consulting, etc.), • TOGAF or equivalent architecture framework, • Azure certifications, • Exposure to EA tools (Ardoq, LeanIX), • AWS exposure (beneficial but not essential) Additional Information • Hybrid working (2–3 days per week in London), • Highly collaborative, high-performing technology environment, • Strong exposure to senior stakeholders and decision-makers, • Opportunity to help shape architecture capability within the firm, • Open to candidates with longer notice periods for the right person Interested? If you’re interested in joining a leading, forward-thinking law firm with a strong technology focus, please send me a message with your CV or email it directly to:

Responsibilities 1. Operational data analysis for international shared services: Understand the operational processes of shared services, comprehensively monitor key performance indicators, promptly detect data fluctuations and conduct in-depth root cause analysis, swiftly identify business anomalies and risk points, and provide solutions;, 2. Aggregate international business data: Map existing core operations and product lines across international business units, master current data storage methods and logical frameworks, consolidate international business data, promptly detect fluctuations and conduct root cause analysis;, 3. Analyse international cash flow statements: Collaborate with Treasury and Accounting teams to understand JD's capital operations and data sources, produce international cash flow analysis and forecasts, continuously refine and enhance predictive models;, 4. Expense Analysis: Collaborate with Procurement to understand JD.com's procurement classifications and data sources, conduct international expense analysis, promptly detect data fluctuations, and conduct in-depth root cause analysis., 5. Data Dashboard Development: Work with the IT Department to transform the above analyses into data dashboards., 6. Complete ad hoc data analysis tasks assigned by management. Qualifications 1. Full-time bachelor's degree or higher, with 3+ years' experience in financial operations data analysis at large internet companies or multinational corporations;, 2. Proficiency in SQL/Hive and other data languages, with fluent use of Microsoft Office (Excel, PowerPoint, Word);, 3. Strong logical reasoning, resilience under pressure, data analysis skills, and ability to gather, organise, and synthesise information;, 4. Excellent communication skills within and across teams, willingness to embrace challenges, ability to thrive under pressure, and capacity to deliver tasks efficiently within tight deadlines;, 5. Demonstrated capability in resource integration and project management.

COMMODITY MARKET RISK ANALYST – STRUCTURED PRODUCTS Exciting opportunity to join a leading Global Commodity Trading company . The role will be based in their London office . A dynamic company who offer rapid learning opportunities with potential for movement across teams and international roles. Main responsibilities: • Preparing and reviewing daily P&L and risk reports, monitoring limits, and proactively resolving any issues in coordination with the relevant teams . • Support front office in obtaining approval for new and non-standard products. • Assisting in identifying significant risks within the business and ensuring they are transparent to senior management., • Provide information and commentary for the bi-weekly Risk Committee meetings., • Review and approve any relevant changes to the main ETRM system (Endur)., • Guarantee compliance for trading procedures with relevant controls and support when necessary internal and external audit requests., • Participate in the enhancement of reporting and the development of reporting systems. Skills and experience required: • University degree in a numerate discipline (e.g. economics, mathematics, pure science, finance, engineering or similar)., • Relevant experience in a market risk role within commodity trading companies or banks., • Strong Knowledge of risk metrics such as VaR, stress-testing, scenario analysis., • Good knowledge of derivatives and options., • Strong knowledge of MS Office suite including Excel and VBA. SQL and Python would be a strong advantage., • Knowledge of the Endur ETRM system would be an advantage., • Analytical mindset and strong numerical skills., • Strong organization skills with good attention to detail and the ability to work to tight deadlines. • Strong communication skills, able to communicate concisely with senior management in the market risk function and with all stakeholders., • Fluent level of English.