Sql jobs in United Kingdom - Page 8

Senior Data Engineer Build the engine behind next-generation trading analytics This is an opportunity to work on a high-impact data platform that turns complex trading data into powerful, actionable insight. You’ll be building a cutting-edge analytics engine used to evaluate performance, surface opportunities, and power smarter decision-making through data products, dashboards, and machine learning. This isn’t just pipeline work, it’s about shaping how data drives strategy. You’ll join a highly collaborative team of Data Engineers, Analytics Engineers, and Data Scientists who own everything end-to-end, from infrastructure through to advanced analytics. If you enjoy working close to the problem, not just the data, this role puts you right at the centre of it. What you’ll be doing • Own and scale core data pipelines powering a high-performance analytics platform, • Turn complex, real-world problems into clean, efficient data models and calculations, • Design and build within a modern lakehouse/data platform architecture, • Develop APIs and data products used by internal and external stakeholders, • Bring structure to messy, real-world data through normalisation and integration, • Work with large-scale, high-volume datasets where performance matters, • Help shape how the team builds, by driving best practices in:, • Testing, • CI/CD, • Version control, • Contribute to the user-facing side of analytics, influencing how insights are delivered What you bring • Strong experience building cloud-based data platforms (Snowflake or similar), • Advanced skills in Python or Rust, and SQL, • A track record of building scalable, production-grade data pipelines, • Hands-on experience with DBT and modern data transformation workflows, • Confidence working with complex, high-volume datasets, • A mindset for clean, reliable engineering with tools like:, • Docker / containerisation, • Git, • CI/CD pipelines, • Familiarity with data visualisation tools (Tableau, Power BI, or similar) Nice to have • Experience in trading, financial services, or data-heavy environments, • Exposure to real-time data or machine learning in production

Power BI Developer Contract - 6 months - £550-600/day via umbrella London - Hybrid We are seeking an experienced Power BI Developer to support a highly regulated banking environment. This role will focus on delivering accurate, timely dashboards for regulatory reporting, ensuring that evolving requirements are implemented effectively. You will act as a dedicated resource within the team, working closely with stakeholders to input, manage, and visualise data that is critical for regulatory submission. Essential Skills and Experience: -Deep knowledge in Power BI Desktop -Knowledge of SQL and experience with SQL Server -Understanding of dimensional modelling/data warehouse principles. -Experience with ETL pipelines. -Deep knowledge of banking operations and regulatory environments -Proven experience in banking or financial services consulting Does his sound like an opportunity that would be the right fit for you? Apply and I'll give you a call to discuss it in more detail.

Senior Software Engineer – Python, AWS, SQL Location: London - Hybrid (2 days per week on-site) Salary: Up to £100,000 Type: Permanent, Full-Time We’re partnering with an exciting, fast-growing technology business that’s tackling complex, real-world challenges with cutting-edge engineering. They’re now looking for a Senior Engineer (IC3) to play a key role in designing and delivering high-impact, cross-service features within a modern, distributed platform. What you’ll be doing: • Leading the design and delivery of complex, scalable systems across multiple services, • Making pragmatic architectural decisions in a fast-moving environment, • Driving engineering excellence across testing, security, and observability, • Owning services in production – improving reliability, performance, and resilience, • Mentoring engineers and elevating team capability, • Collaborating cross-functionally with Product, Data, and Design What they’re looking for: • Strong experience designing scalable, maintainable systems with clear ownership boundaries, • Proven ability to lead delivery across ambiguous, complex problem spaces, • Deep understanding of reliability, observability, and production systems, • A security-first mindset with experience mitigating risks and vulnerabilities, • Excellent communication skills with the ability to influence and mentor, • Python Experience is preferred - though experience with similar languages are a plus e.g. Clojure, Rust, Kotlin, Scala, Golang., • AWS Experience (Hands-on work with GCP/Azure is okay too), • BSc in Computer Science Why this role stands out: • High ownership and autonomy in shaping technical direction, • Opportunity to work on meaningful, technically challenging problems, • A strong engineering culture focused on quality, delivery, and continuous improvement, • Clear impact on product performance, scalability, and team growth

Analytics Engineer (Contract) £500/day (Outside IR35) | 6 Months | Hybrid (1–2 days per week in office) We’re working with a business looking for an Analytics Engineer to support the evolution of their data platform. This role sits between data engineering and analytics, ideal for someone who enjoys both preparing data and generating insights. Tech: SQL, dbt, Power BI (Azure a bonus, open to other clouds) What You’ll Be Doing • Prepare and transform data for analysis, • Build and optimise data models (dbt), • Write efficient SQL queries, • Deliver insights via Power BI, • Support data-driven decision making, • Help improve and mature the data platform What We’re Looking For • Strong experience as an Analytics Engineer or similar, • Strong SQL, dbt, and Power BI experience, • Experience across both data engineering and analytics, • Ability to work with stakeholders and translate insights, • Comfortable in a fast-paced environment If you enjoy both building and using data, this could be a great fit. Please apply below, message me directly, or email me at

DATA ENGINEER - CONSULTANCY EXPERIENCE • Salary up to £90,000 + discretionary bonus, • London-based role with hybrid working, • Work across high-impact client projects, • Broad exposure to modern Azure data stack and cloud technologies, • Strong progression and training opportunities within a growing consultancy ABOUT THE CLIENT Due to continued growth, we’re supporting a well-established consultancy specialising in data strategy and technology solutions within the financial services space. They work closely with a global client base, delivering high-quality, hands-on solutions rather than purely advisory services. THE BENEFITS • Competitive salary with discretionary bonus, • Hybrid working model, • Private healthcare, • Enhanced pension contributions, • 25 days holiday, increasing with tenure, • Ongoing training and career development, • Exposure to a wide range of technologies and clients THE DATA ENGINEER ROLE: You’ll play a key role in delivering end-to-end data solutions, working closely with clients to design, build, and implement scalable data platforms. This is a hands-on, client-facing role where you’ll contribute to solution design, gather requirements, and support project delivery from concept through to completion. You’ll also collaborate with project managers on complex engagements, provide technical insight into proposals and Statements of Work, and support governance and best practice across projects. There’s a strong focus on innovation, with opportunities to contribute ideas and shape how solutions are delivered. DATA ENGINEER ESSENTIAL SKILLS • Strong experience in data engineering and building scalable data solutions, • Solid understanding of data architecture and design patterns, • Experience with cloud platforms, particularly Azure, • Data warehousing experience (e.g. Snowflake, Azure SQL), • Strong SQL and data modelling skills, • Experience with ETL/ELT pipelines and modern data tooling, • Ability to engage with stakeholders and communicate technical concepts clearly, • Experience contributing to project planning, scoping, and delivery TO BE CONSIDERED: Please either apply through this advert or email me directly via . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, SQL, Python, Azure, Snowflake, ETL, Data Warehousing, Data Architecture, Data Pipelines, CI/CD

The Lead Engineer / Technical Lead will own the end-to-end technical delivery of a data migration and platform modernisation programme in AWS. This role acts as the single technical point of accountability, setting architecture, defining standards, and coordinating delivery across workstreams. While the programme includes data engineering, the focus is heavily on DevOps, infrastructure, and platform engineering, enabling scalable, secure, and automated migration and ingestion of enterprise data. Key Responsibilities • Own and evolve the AWS/CDP architecture for data migration, ingestion, and downstream consumption, • Define and enforce engineering standards (Terraform, CI/CD, pipeline design, naming conventions), • Lead platform engineering and infrastructure delivery (IaC, networking, security, environment setup), • Oversee migration of ~8–10 enterprise databases into AWS using DMS and CDC patterns, • Ensure migration pipelines are scalable, automated, and resilient, • Enable event-driven and batch data pipelines (S3, Lambda, orchestration), • Ensure data lineage, cataloguing, and documentation are captured, • Coordinate backlog prioritisation, sprint planning, and delivery sequencing, • Validate deliverables for quality, performance, security, and operational readiness, • Act as senior technical interface with stakeholders and delivery partners, • Lead knowledge transfer and upskilling of engineers Required Experience & Skills • 5+ years in data/platform engineering, including leadership experience, • Strong AWS experience: S3, Lambda, IAM, VPC/networking, DMS, • Proven experience with Infrastructure-as-Code (Terraform) and CI/CD pipelines, • Experience delivering large-scale data migrations, including CDC approaches, • Strong Python and SQL skills, • Understanding of data platforms (e.g. Snowflake/CDP) and ingestion pipelines, • Exposure to AI/ML enablement frameworks (.e.g AWS SageMaker) and supporting infrastructure for model training, deployment, • Familiarity with modern development and deployment frameworks, • Experience with dbt / ELT patterns (beneficial, not core focus), • Strong stakeholder communication and technical leadership skills

The job description is not grade specific, there actually is a pretty broadly applicable 'consulting engineer' job description but with the caveats that a) it is not currently specific to a grade and b) that the emphasis of the day to day does vary per client: We’re looking for FDE's/Consulting Engineers at all levels from associate to senior-manager level to help organisations transform complex data into impactful, scalable solutions. This is a highly client-facing role where you’ll work directly with stakeholders, build modern data workflows, and help deliver meaningful transformation projects. You’ll work across technologies including Python, SQL, PySpark, TypeScript/React, and Palantir Foundry, contributing to everything from data engineering and AI workflows to user-facing applications. What You’ll Do • Build and support scalable data & AI solutions, • Work directly with clients to solve complex business challenges, • Develop workflows, applications, and dashboards, • Support AI integration using modern enterprise tooling, • Collaborate in a fast-moving, highly technical team environment What We’re Looking For • Experience with Python, SQL, TypeScript or React, • Understanding of data engineering & ETL principles, • Strong communication and stakeholder skills, • Curious, adaptable, and solutions-focused mindset, • Palantir experience is a plus, not a requirement This is a great opportunity for someone who enjoys ownership, fast learning, and solving challenging problems with modern technology.

IT Infrastructure Engineer(Security) Canary Wharf, UK Hybrid (2 days week) Inside IR35 Contract (6+ Months) Key Skills • Creation of technical governance documentation, such as Low Level Designs and, • Creation of security focused technical specifications for Windows environments, • Secure Configuration Baseline creation, • Knowledge of Active Directory Certificate Services, • Knowledge of IIS, • Knowledge of Active Directory Domain Services, • Knowledge of Cryptography, • Windows Server 2019 / 2022 / 2025, • Windows 11, • PowerShell, • VMware including ESXi / vCentre, • Strong understanding of designing to meet security principles and compliance, • Application \ Infrastructure migration skills Desirable Skills • Desirable: good knowledge MS SQL, • Desirable: experience using M365 Security Controls, • Ensure our internal systems are managed to the highest standard by following industry best practice, • Demonstrate good problem management ownership and prevention of SLA breach under Incident/Problem Management processes, • Actively contribute to the development of existing and new IT process and procedures to enhance service transition and service operation lifecycle stages, • Demonstrate self-starter capabilities, • Experience of working in a network heavily segregated by firewalls, • Appreciation of networking and the understanding of firewalls rules, • Understanding of building a product that will result in zero findings on a penetration test, • Terraform, • Ansible, • Windows running in AWS Qualifications / certifications Desired • Bachelor’s degree or equivalent working knowledge and experience, • Strong Understanding and appreciation of working on business-critical production infrastructure, applications and database services, • AWS/Citrix/Cisco/Microsoft/VMware certification, • Experience of working in a highly regulated environment

Senior Data Engineer (12M FTC) | Investment Data Transformation Own the data engineering capability for a world-class investment platform We’re hiring a Senior Data Engineer to join a high-performing Investment Data & Operations team with one of our client organisations, delivering a major data transformation programme across a complex, multi-asset portfolio. You’ll act as the go-to technical lead for investment data, owning pipeline architecture, driving automation across operations, and ensuring data is reliable, scalable, and decision-ready. 🔧 What you’ll be doing • Own the end-to-end data pipeline ecosystem (APIs, integrations, data flows across multiple platforms), • Define and implement data architecture, standards, and governance frameworks, • Build and scale robust, production-grade pipelines supporting reporting & analytics, • Drive automation across investment operations — removing manual, spreadsheet-heavy processes, • Develop dashboards, reconciliation tools, and operational intelligence solutions, • Partner with data, tech, and investment teams to deliver real business impact 🎯 What we’re looking for • 5–10+ years’ experience in data engineering within asset management / financial services, • Strong Python & SQL — you’ve built and owned pipelines in production, • Proven experience designing data architecture and integration frameworks, • Track record of automating operational workflows end-to-end, • Strong understanding of investment data (portfolios, transactions, valuations, performance), • Comfortable leading from the front — owning delivery, influencing stakeholders, and setting direction 💡 Why this role? • High ownership — you’ll define how data engineering is done in the investment function, • Transformation-focused — real opportunity to modernise systems and workflows, • Senior visibility — work directly with investment, operations, and tech leadership 💰 Package • Competitive day rate / salary range (depending on experience), • 12-month fixed-term contract with high potential for extension, • Opportunity to work on a major data transformation programme within a highly regarded investment environment If you’re a hands-on senior engineer who enjoys building, owning, and transforming — this is a standout opportunity.

Contract Senior Software Engineer (Java or Python) | Inside IR35 Contract length: 6 months (with potential to extend) Location: London Working Environment: On-site You will be joining a private equity firm as a senior software engineer, to work across the following responsibilities: • Develop and support P&L, accounting, and returns-calculation applications across trading books, • Build and extend our Client Reporting Framework, • Add instrument and asset class coverage in our Trade Repository system, • Manage data exchange with third-party vendors via SFTP and AWS S3, • Use AI coding assistants (Claude, Cursor, GitHub Copilot) to compress delivery timelines while maintaining full code ownership and quality accountability, • Collaborate with quant researchers and traders to translate complex financial requirements into auditable, production-grade code, • 8+ years commercial experience in Python or Java across the full development lifecycle, • 5+ years in financial services (buy-side strongly preferred), • Solid relational database skills; MS SQL Server a strong plus, • Snowflake experience required, • Familiarity with AWS (S3, Lambda, EC2, Glue or similar), • Proficiency with Git, CI/CD pipelines, and observability tooling (e.g. Datadog)AI & Tooling:, • Proven, hands-on experience shipping production code using AI coding assistants such as Claude, Cursor, or GitHub Copilot, • Demonstrable examples where AI tooling reduced delivery time by 2x or more on a meaningful task, • Strong prompt engineering skills and the ability to critically evaluate AI-generated code for correctness, security, and financial accuracyDesirable, but no essential:, • Experience with Apache Airflow or similar workflow schedulers, • REST or GraphQL API design experience, • Knowledge of fixed income, FX, or derivatives products and associated P&L/risk methodologies

About SaxeCap: SaxeCap is the premier AI transformation and investment platform in private equity. We pioneered the concept of buying out traditional businesses and transforming them with AI in 2018, and today we are the go-to AI transformation partner for 60+ PE firms globally, including 9 of the 10 largest by AUM as well as the world’s leading sovereign wealth funds. We've transformed 140+ businesses across healthcare services, business services, financial services, software, consumer, and more, driving billions of dollars of enterprise value expansion along the way. We operate at the intersection of three businesses: (1) a private equity investment arm, (2) an in-house AI transformation firm that designs and deploys bespoke GenAI, ML, and automation solutions, and (3) a suite of proprietary software products. Our team comes from places like Google, Palantir, Meta, Surge AI, Blackstone, TPG, Cerberus, Millenium, Balyasny, McKinsey, Bain, Oliver Wyman, MIT, Stanford, IIT, GSB, HBS, and Wharton. We were early investors in OpenAI, Anthropic, Groq, SpaceX, Neuralink, Mercor, Lambda Labs, etc. But what makes our team exceptional isn't where they came from or what they've invested in, it's what they ship. We are builders. About the Role: We are hiring a Vice President, AI Strategy & Deployment to join our AI transformation team and build our presence in the UK and EU. This is not a traditional consulting or investment role. You will own the full lifecycle of AI-driven value creation across our PE partner portfolio, from first engagement with a sponsor, through deep technical and strategic analysis, to managing our engineers and data scientists as they build and deploy solutions that move EBITDA. You will operate across a range of workstreams simultaneously: evaluating AI opportunities for PE sponsors under deal timelines, designing comprehensive transformation roadmaps for portfolio companies, managing technical teams through production AI deployments, supporting investment underwriting for SaxeCap's own PE vehicle, and leading business development with new partners. The common thread: you are the person who connects AI's technical potential to measurable business value, and you own the outcome end to end. About You: You are a hybrid: part technologist, part strategist, part operator. You are equally comfortable whiteboarding a model architecture with an ML engineer, presenting an AI transformation roadmap to a private equity partner, and pressure-testing an LBO model. You move fast, you think in structures, and you obsess over shipped outcomes rather than theoretical potential. Specifically: • 5 to 10 years of experience spanning two or more of: private equity, AI/ML product management, strategy consulting (MBB or comparable preferred), investment banking, or engineering, • You have managed teams of 5+ people (engineers, data scientists, consultants, or analysts) and held them accountable to ambitious timelines, • You have managed executive and C-suite stakeholder relationships, ideally in a PE or PE-adjacent context, • You have real AI/ML fluency: you can discuss model architectures, data pipelines, and build-vs-buy trade-offs with technical teams, not just at a buzzword level. Hands-on experience with Python, SQL, and data science tools is expected. Experience shipping ML products, managing RLHF programs, or building GenAI solutions is a strong differentiator., • You have experience quantifying enterprise value and EBITDA impact of technology or transformation initiatives; not just tracking KPIs, but tying technical outcomes to P&L, • You have product management instincts: understanding user pain points, scoping technical solutions, and managing the build through deployment, • You have operated in fast-paced, ambiguous environments where the scope, stakeholders, and approach shift rapidly, and you thrive in that context rather than resist it, • Bachelor's and/or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field from a top-tier institution What Sets the Best Candidates Apart: The people who excel at SaxeCap share a specific profile. They are not pure technologists and not pure dealmakers, they are the rare operators who can do both. The strongest signals we look for: • Shipped AI, not just studied it. You have built or managed the build of AI/ML solutions that went to production and drove measurable business outcomes. "Led AI strategy" without specifics doesn't move the needle. "Shipped an ML model that reduced X by Y%, managing a team of Z engineers" does., • PE-grade rigor under time pressure. You can form accurate conviction on an AI opportunity from limited information and present that conviction to a PE partner with confidence. If you've worked on a live deal, you know what this feels like., • Builder DNA. You don't just recommend, you build. Side projects, open-source contributions, 0-to-1 products, or intrapreneurial ventures all signal the instinct we're looking for., • Structured synthesis at scale. You can process massive amounts of qualitative and quantitative information and distill it into a prioritized plan that senior executives can act on. This is the hardest skill to find and the one we value most. Compensation & Growth: SaxeCap offers highly competitive compensation, and you will work directly with our senior leadership from day one, with significant client exposure and rapid professional development. The team is lean by design, there are no layers between you and impact.

Trading Support Engineer - Ultra Low Latency Trading Platform - Up to £75k + Bonus Support the biggest names in FX and Equity trading on the fastest proprietary OTC trading platform in the world today. You'll directly interact with Traders to troubleshoot and provide immediate fixes to complex technical issues that arise within the trading platform. It's not all support though, this is a massively broad role touching everything, working with infrastructure and development teams to improve the platform and processes. From a tech perspective, you'll need exposure to Linux systems and SQL databases. Ideally, you'll have coding skills in Python to be able to automate trading workflows. AWS exposure would be nice, but none of the critical trading infra is hosted here for latency reasons. You'll need at least 1-2 years supporting live trading environments. If this is in the FX or Equities world, even better. • London based, • hybrid 3x a week onsite, • Up to £75k + Bonus DOE Interesting? Apply now. No up-to-date resume required.

Job Opportunity: Test Lead – Data Platform Location: London (Hybrid, 2 days onsite) Employment: Contract Role (Outside IR35 considered) Duration: 6 months Start Date: ASAP We are seeking an experienced Test Lead to oversee quality assurance for a large-scale enterprise data platform. This role involves defining testing strategy, managing offshore teams, and ensuring delivery of audit-ready, high-quality data solutions. About the Project: A strategic cloud-native data platform enabling governed ingestion, transformation, and analytics to support business insights, reporting, and regulatory compliance. Key Responsibilities • Define and execute QA strategy across data pipelines and platform components., • Lead SIT, regression, and release readiness testing across ingestion, transformation, and consumption layers., • Govern test processes, quality gates, and traceability using Agile practices., • Manage defect triage and collaborate with engineering teams for resolution., • Oversee data validation (source-to-target checks, schema validation, business rules)., • Provide clear reporting on test progress, risks, and readiness to senior stakeholders., • Ensure compliance with audit requirements and drive continuous improvement. Required Skills • Strong background in data testing, ETL validation, and data migration., • Hands-on expertise with cloud-based data platforms (Azure Data Factory, Databricks, Delta Lake)., • Advanced SQL skills for complex query validation., • Experience with Agile/DevOps delivery models and JIRA test management., • Familiarity with automation frameworks (SQL/PySpark preferred)., • Knowledge of CI/CD and release management processes., • Experience with Power BI, Alteryx, and VS Code, particularly in testing integrations with Databricks and validating related user experience. Qualification BE / BTech or equivalent qualification. Testing or project management certification is desirable. What is expected from you? - • Strong leadership and stakeholder management skills., • Analytical, detail-oriented, and delivery-focused., • Comfortable working in multi-vendor environments.

Fundment is a scaling wealth infrastructure company, building on our cutting-edge digital investment system to transform the £3 trillion UK wealth management market. We are passionate about revolutionising the investment experience for financial advisers and their clients by combining our innovative proprietary technology with exceptional customer service. We are looking to hire a Application Support Engineer to join out outstanding engineering team. Purpose of Role As an Application Support Engineer at Fundment, you will be responsible for maintaining the stability and reliability of our platform in production. You will act as the first line of response for live issues, working to diagnose problems, stabilise systems, and keep the business operating while longer-term fixes are developed. This role requires strong problem-solving ability, sound technical judgement, the confidence to investigate issues across the stack and provide business continuity. You will work closely with the Application Support Lead, engineering teams, and operational stakeholders to resolve incidents, improve system behaviour, and reduce recurring issues over time. Key Responsibilities • Develop a strong understanding of Fundment platform, including core business workflows such as trading, cash movements (internal and external), and daily processing, as well as relevant regulatory processes such as pension management and trade reporting., • Monitor production systems and scheduled jobs, including mission-critical start and end of day processes, identifying and responding to failures quickly., • Diagnose and resolve production issues by analysing logs, data and system behaviour, applying safe mitigations to restore service where possible., • Take ownership of stabilising live issues, prioritising actions that minimise business impact and keep operations running., • Triage incidents based on urgency and business impact, ensuring critical issues are escalated promptly with clear context., • Investigate issues using SQL, logs, and system tooling to trace failures, validate system state, and identify root causes., • Work closely with engineering teams to reproduce issues, provide detailed context, and validate fixes, ensuring durable solutions are implemented., • Support production releases by validating readiness, monitoring behaviour post-deployment, and identifying issues early., • Maintain clear documentation of incidents, known issues, and troubleshooting approaches to improve team effectiveness., • Contribute to improving monitoring, alerting, and operational processes to reduce incident frequency and improve response times. Essential Experience • 8+ years in application support, production support, or a technical operations role supporting live systems., • Experience working with business-critical applications where uptime, correctness, and timeliness matter., • Strong problem-solving ability, with a track record of diagnosing and resolving production issues under pressure., • Comfortable working across technical and non-technical teams, communicating clearly during incidents., • Experience in financial services or regulated environments preferred. Technical Capability • Confident working with SQL to investigate data issues and validate system behaviour., • Experience using GCP log explorer and monitoring tools to diagnose production issues (e.g. GCP Logging, Datadog)., • Familiarity with cloud-based systems and distributed applications., • Ability to trace issues across services, understand failure modes, and reason about system state., • Scripting ability (e.g. Python) to automate repetitive tasks or support investigations., • Working knowledge of APIs, basic networking concepts, and web applications., • Familiarity with Docker, Kubernetes, and modern deployment environments is beneficial. Why join us? Be part of our flexible and supportive work environment, where our innovative team value collaboration and trust. Make an impact and challenge yourself to continually improve, raise standards and see how your work contributes to our future goals. We support our team with the flexibility to work on a hybrid basis, 3 days a week in our beautiful London office. • Full time permanent position, • 28 days annual leave plus bank holidays, • Enhanced maternity/paternity/adoption leave, • 6% employer contribution, • Bupa Private health insurance, • Medicare Cash Plan, • International travel insurance, • Life Assurance We will evaluate applications within 2 weeks, video interviews will be followed by in person final interviews in Fitzrovia. Fundment Values • Collaborative, • Innovative, • Supportive, • Flexible, • Trustworthy

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

Quant Developer (European Direct Lending) - Hybrid - London - Up to £250k TC We're working with a global alternative asset manager ($570bn AUM) on a rare, greenfield hire within their European Direct Lending business, a $80bn+ strategy with ~95 investment professionals across London and Europe. This is a brand new quant function, you'll be the first in this team, embedded directly in the front office, with plans to grow the team beneath you. The credit side of the business has already successfully built out this capability, so there's a proven model and live case study to draw from. What you'll be doing • Building and enhancing dynamic fund-level financial models (capital allocation, return optimisation, liquidity), • Developing tactical front-office tools that bridge investment teams and technology, • ETL and data management across an Azure-hosted Data Lake environment, • Integrating with enterprise platforms (OMS, fund accounting, loan accounting systems), • Longer-term scope into risk, pricing analytics, and AI-driven platform development The stack: VBA/Excel · Python (Pandas, NumPy, Flask/Django) · Databricks/Snowflake · Azure Data Lake · Microsoft Power Platform · SQL Who they're looking for • 7+ years in a technical role within financial services (investment management, private credit, or private equity preferred), • Strong commercial and corporate finance understanding (this is not a pure coding role), • Excel/VBA proficiency is highly valued; Python is a bonus, • Comfortable being the only quant and building from scratch, • Available at short notice, 6 months will be too long Interview process: 30-min intro call → take-home case study (Excel-based) → further stages to follow We encourage you to apply even if you think you may not currently fit all these requirements – so long as you have proven academics and are willing to work hard and learn, we want to hear from you. Note: if you haven't received a reply within 3 days, your application was possibly and unfortunately not accepted. Quant Developer (European Direct Lending) - Hybrid - London - Up to £250k TC

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. What was once technologically impossible is now within our grasp. We’re looking for a Senior Full Stack Developer to join our growing development team. What you will do 🚀 • Design and implement a new high-scale system for millions of users, • Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability, • Work on ML model development with our team to build robust data pipelines and deploy ML models, • Analyse large corpora of data and build real-time recommendation systems, • Work with large amounts of data in different modalities (text, video, images, audio), • Work in a very cross-functional team, side by side with mobile developers, product managers, ML engineers, and designers Essential skills 🙏 • Deep Python and AWS knowledge, • Architecture planning and estimation skills, • Experience with CI/CD automation pipelines, • Proficiency with Terraform and Docker, • SOLID, KISS principles, decomposition principles, and resolving monolith vs. microservices trade-offs., • Experience with SQL and NoSQL databases., • Understanding of best practices in building scalable mobile APIs (REST, HTTPS, etc.)., • Good principles of security management (secrets, protocols, etc.)., • Experience with some Python web frameworks (Django, Flask, FastAPI, etc.). Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with real-time and/or in-memory databases, • Experience with frontend frameworks, • Experience in developing educational products, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience (even non-production) with different types of programming languages What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • A crew all about people and products, • Work from our London office (4 days per week), • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget, • We also offer substantial relocation assistance to support your move, if required Interview Process 🧪 3 technical interviews, which will all cover • Problem Solving, • Architecture Design and Product Design, • Domain/Platform Knowledge After all interviews, we would like to invite you to work with us in our London office for 1-2 paid test days. If everything goes well, we will make an offer to the successful candidate.

Forward Deployed AI Engineer | AI Consultancy 📍 London (Hybrid) 💰 Salary £120,000-£150,000 💷 £700-£900 per day 🏢 Permanent or Contract Role Overview We’re looking for a Forward Deployed AI Engineer to join a fast-growing AI consultancy working with leading organisations in areas such as capital markets and investment management. You will work directly with clients to design, build, and deliver production-grade AI systems, embedding into complex environments to solve real operational and data challenges. This role blends software engineering, AI system design, and client delivery, with a strong focus on scalable, production-ready solutions. What you’ll be doing • Build and evolve AI-driven origination and workflow platforms, including deal intake, pipeline management, relationship intelligence, approvals, and execution processes, • Design and implement microservices and APIs that integrate data across enterprise systems such as CRMs, internal platforms, and external data providers, • Translate complex financial and operational logic — including pipeline structures, attribution models, allocations, and reporting frameworks — into scalable technical systems, • Architect and optimise data models and database layers, including schema design, indexing strategies, query tuning, and stored procedures, • Develop and maintain CI/CD pipelines and engineering tooling to support reliable, frequent, and high-quality deployments, • Implement event-driven architectures using Kafka, enabling real-time data processing, system decoupling, and auditability, • Ensure high performance, reliability, and scalability across distributed systems, including observability, monitoring, and production readiness, • Partner with product, operations, and investment stakeholders to refine requirements and deliver iterative solutions in Agile environments Core requirements • 8+ years of hands-on software engineering experience across Python and object-oriented languages (Java or C++), • Strong background delivering production-grade full-stack or backend systems, • Deep understanding of cloud architecture (AWS, Azure, or GCP) with a focus on scalable and secure systems, • Strong proficiency in Python and SQL, plus experience with either Java or .NET, • Solid DevOps experience including Git, CI/CD pipelines, and containerisation (Docker, Jenkins or equivalent tools), • Proven experience designing and building microservices-based architectures in distributed systems, • Advanced knowledge of database systems, including schema design, performance tuning, and query optimisation, • Experience working with event-driven architectures and messaging systems such as Kafka, • Familiarity with both NoSQL and NewSQL databases, including trade-offs and use cases, • Ability to take ambiguous business requirements and turn them into clear technical designs and working systems AI Engineering capability (essential) All engineers in this team are expected to meaningfully apply AI in production systems, including: • Building and deploying LLM-based applications in production environments, • Designing agentic workflows and multi-step AI systems, • Implementing RAG (Retrieval-Augmented Generation) pipelines, • Working with OpenAI or Anthropic APIs, • Using vector databases and embedding-based search systems, • Applying prompt engineering techniques effectively, • Building AI evaluation, monitoring, and observability frameworks, • Understanding ML fundamentals where relevant (embeddings, fine-tuning, context engineering) Additional note The business is also interested in speaking with UK-based engineers for internal platform and AI product engineering roles. If you are more interested in building internal systems rather than client-facing delivery, you are still encouraged to apply.

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions. As a Fraud Operations Director in Fintech, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities: • Lead the development and optimization of fraud detection systems using machine learning and rule-based engines., • Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions., • 7+ years of experience in hands-on working on fintech fraud problems at a scale of at least 1MM transactions/events per day, deployed solutions to production with a proven impact., • 3+ years of experience in managing fraud prevention at a corporation, in fintech or cyber-tech companies with a proven business impact., • 3+ years of experience in Python, SQL, and AWS cloud. Ability to write readable and maintainable code., • Background in compliance, KYC, AML and other financial regulations while managing fraud risks., • Working in high scales of >10MM transactions/day., • Proven track record of reducing fraud actors at scale, with strong type-1 and type-2 error estimates., • Experience working with technologies like Athena/Trino, Spark, AML, CI/CD, and Tableau.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Currencycloud was acquired by Visa in December 2021. Our Staff SoftwareEngineers are responsible for implementing an industry-leading API that has already processed over 50 billion USD of cross-border transactions for over 5 million end users, and is available to our clients 24x7. But we're not stopping there, and our engineers are at the forefront of taking us forward to meet the demands of even greater scale. This role will support the entire Customer tribe and work across multiple teams and domains, including account and contact management, reporting, wallets and balances, end-client onboarding, and notifications. It's a large area with very multiple technical challenges, mainly revolving around event-driven architectures and working at scale. This is a hands-on individual contributor role at a senior level where you'll lead technical widespread strategy, mentor senior engineers, and ensure alignment with organizational standards. Beyond delivery, you'll influence how other teams adopt event-driven principles and modern streaming practices, acting as a trusted technical authority across domains. Our stack runs on AWS as a set of distributed applications using Kubernetes and a microservice-led architecture. We are also utilizing Kafka for our streaming and PACT for Contract testing. What you'll get to do: • Own the technical vision and roadmap for services, ensuring they are robust, performant, and easy to consume by other teams., • Lead design and implementation of streaming solutions using Kafka, Flink, and related technologies., • Collaborate with product and engineering teams to understand requirements and deliver platform capabilities that accelerate their development., • Drive best practices for observability, reliability, and scalability in distributed systems., • Mentor and support engineers within the team, fostering a culture of technical excellence and continuous improvement., • Clear ownership of technical vision and architectural standards for a critical domain., • Opportunity to influence and shape a new team from the ground up., • A modern tech stack and autonomy to innovate., • Object-oriented programming forms the bulk of our codebase, currently in Java, versions 11+, and ideallySpringbootframework, • Highly-scalable, highly-available, cloud-native applications on AWS are key to our next phase of growth, are written to 12-factor principles and fit into our microservices architecture, • Cloud-related tools, services, and distributed system observability to support these applications, such as Docker, Kubernetes,ElasticSearch, log management systems, and Datadog APM, to name but a few, • API specifications, conforming to the OpenAPI (Swagger) standard, provide a clean boundary both externally between our customers and our product, and internally between our microservices, • SQL, and large SQL databases, provide the persistence layer for our applications. You'll be working with (and know the limitations of using) such large datastores, • Infrastructure automation is primarily owned by the infrastructure team, but you will be a consumer of their work, familiarity with AWS, Terraform and Docker is beneficial, • Testing approaches, including TDD, BDD and Contract Testing, all form an important part of our approach to quality assurance, ensuring that the code that we write forms products that are fit for use. We currently use a variety of frameworks including JUnit,RSpecand Cucumber, • Agile development, with teams broadly aligned with the Spotify - Squads and Tribes - model, helps us deliver incremental improvements to our products in an iterative manner. Advocating this model, and joining us on a journey of continuous improvement, is a key attribute of members of our teams, • Continuous Integration and Continuous Delivery pipelines allow us to automate-all-the-things, providing repeatable builds and consistent deployments, • GitHub, and the GitHub PR review process, forms a core part of our developer workflow, and peer reviews help share knowledge and improve quality Qualifications Preferred Qualifications:9 or more years of relevant work experience.5+ years experience in Java Backend Development.Passion for event-driven architectures and ability to advocate for them across teams.Proven experience leading technical teams or initiatives, including setting architectural direction.Skills with functional Java (versions 8+) and Spring (ideally Spring boot)Agile ways of working such as Scrum or Kanban in cross-functional teamsExpert knowledge of Docker, EKS, AWS (public cloud) and Kafka.Ability to communicate equally effectively with both technical and non-technical stakeholders.Modern Cloud-Native architectures and practices. To name some: high-availability, high-scalability, microservices, 12-factor apps, CI/CD, heavy testing automation and observability.TDD, BDD and Contract testing.Working in a DevOps environment, or passion and willingness to work in this way.Proven delivery of well-tested, scalable, fault-tolerant and performant solutions.A pragmatic approach to solutions and delivery of technical projects.A self-starter who takes accountability for getting things done.Pragmatism in decision making and ability to get buy-in for ideas and getting them done.Exceptional structure and attention to detail.Comfortable challenging the status quo and always curious about the way things work.Great written and verbal communication skills.Comfortable working in a scale-up or growth environment and as part of a wider team. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Job Title: Data Analyst Location: UK Experience: 2–4 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies. Required Skills: • Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field, • Fluent English (written/spoken), • Strong hands-on experience on Python, SQL, No SQL., • Hands on experience in coding (mandatory python and SQL or C++)., • Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning., • Familiarity working with large data sets., • Project Management background preferred. Qualifications : • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

About Persistent: We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the “Brand Finance India 100” 2025 report. We were also cited as a Leader in the ISG Provider Lens™ 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix® Assessment 2025. We are fast growing company (with $1 billion dollars in revenue). Plan to grow at Krakow, Poland. If you’re interested in working on bleeding Data and AI technologies, join us. Read more - ___ About Position and details: • Role: Infrastructure Engineer, • Location: Harbour Exchange Square, London, • Mode: Hybrid, • Experience: 10 to 15 years Responsible for the specific technical design, build and deployment of both new solutions and enhancements to existing solutions. The candidate will have the ability to collaborate across IT to ensure the smooth transition of new services deployed from project into production. Provide third-level support, where required, to assist the Platform Operations teams with the investigation, escalation, and resolution of technical Infrastructure issues that the Operations team cannot resolve. Proficiency in working with third parties, where relevant, to assist in their deployment of new services. Experience Key Skills: • Creation of technical governance documentation, such as Low-Level Designs and, • Creation of security focused technical specifications for Windows environments, • Secure Configuration Baseline creation, • Knowledge of Active Directory Certificate Services, • Knowledge of IIS, • Knowledge of Active Directory Domain Services, • Knowledge of Cryptography, • Windows Server 2019 / 2022 / 2025, • Windows 11, • Powershell, • VMware including ESXi / vCentre, • Strong understanding of designing to meet security principles and compliance, • Desirable: good knowledge MS SQL, • Desirable: experience using M365 Security Controls, • Ensure internal systems are managed to the highest standard by following industry best practice, • Demonstrate good problem management ownership and prevention of SLA breach under Incident/Problem Management processes, • Actively contribute to the development of existing and new IT process and procedures to enhance service transition and service operation lifecycle stages, • Demonstrate self-starter capabilities, • Experience of working in a network heavily segregated by firewalls, • Appreciation of networking and the understanding of firewalls rules, • Understanding of building a product that will result in zero findings on a penetration test, • Terraform, • Ansible Desired • Bachelor’s degree or equivalent working knowledge and experience, • Strong Understanding and appreciation of working on business-critical production infrastructure, applications and database services, • AWS/Citrix/Cisco/Microsoft/VMware certification, • Competitive salary and benefits package, • Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications., • Opportunity to work with cutting-edge technologies., • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, • Annual health check-ups “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Data Architect — Insurance Transformation | Contract | Remote Location: Remote‑first (ad hoc London / client visits as required) Rate: up to £650/day (Outside IR35) Length: Discovery (short‑term) progressing into 12+ month implementation Sector: Insurance | Pensions | Data Transformation Overview We have an urgent requirement for a contract Data Architect to lead a data transformation for a third‑party administrator. The initial engagement is discovery into a long implementation. Strong insurance experience, ideally with bulk purchase annuities (BPA), is essential. Role You’ll define the target data architecture and lead the technical design from legacy mainframe/COBOL sources into a cloud lakehouse (medallion) pattern. This is a hands‑on, senior technical role collaborating with actuarial, product, engineering and platform teams to ensure the architecture supports regulatory reporting, client reporting and self‑service portals. Key responsibilities • Lead discovery and design of a lakehouse/medallion data architecture that ingests and refactors mainframe/COBOL datasets, • Architect microservices-based integration patterns and APIs for data movement and portal access, • Translate actuarial and scheme data requirements into robust data models and pipelines, • Define data quality, reconciliation and control frameworks to support scheme adjustments and regulatory reporting, • Design deployment and CI/CD patterns for data pipelines across Dev/UAT/Prod environments, • Produce technical artefacts: data models, ingestion patterns, security controls, runbooks and migration plans, • Work with Product, Platform and Actuarial teams to ensure operational readiness and handover to run teams What we’re looking for • Strong insurance or pensions experience, ideally with bulk purchase annuities / scheme data familiarity, • Deep expertise in cloud data platforms, lakehouse/medallion architectures and data engineering patterns, • Proven experience migrating mainframe/COBOL data to modern cloud platforms and integrating via microservices/APIs, • Good understanding of actuarial data models and how they impact pricing, reporting and scheme adjustments, • Hands‑on with data tooling (e.g., Databricks, Azure/AWS/GCP, Spark, SQL, Delta Lake) and CI/CD for data, • Strong stakeholder engagement skills and experience working across technical and non‑technical teams

🚨 Hiring: Technology Solution Architect | London/Hybrid 2 days per week 🚨 I’m currently partnering with a growing, highly collaborative technology team within a leading professional services environment to hire a Technology Solution Architect. This is a fantastic opportunity to join a business where technology is genuinely seen as a strategic driver — with strong investment, senior leadership buy-in, and the chance to help shape the future architecture function. 🔹 Location: London (hybrid working) 🔹 Salary: Competitive + strong benefits 🔹 Industry: Professional Services / Regulated Environment Key areas of focus include: ✔️ Solution architecture & technical design ✔️ Enterprise integrations & API architecture ✔️ Azure cloud services ✔️ Working across data, platform, security & product teams ✔️ Stakeholder engagement with both technical and non-technical audiences ✔️ End-to-end solution delivery across enterprise applications Tech environment includes: Azure (App Services, Functions, Service Bus, APIM) SQL Server CI/CD & DevOps practices Enterprise architecture tooling (Ardoq / LeanIX) Legal tech platforms including Aderant, iManage & Intapp They’re looking for someone who can: Translate business problems into scalable technical solutions Operate confidently in a fast-paced, evolving environment Communicate architectural decisions clearly to stakeholders at all levels Bring strong integration and enterprise solution design experience Experience within legal, professional services, or other regulated industries would be highly beneficial.

Do you want to build data products, not just models? Have you worked on predictive analytics that directly shape customer strategy? Are you ready to own product innovation from concept to launch? A UK-based data and analytics business is hiring a Data Scientist to support the design and delivery of data-led products used by major enterprise clients. The business combines consultancy delivery with proprietary data products, giving you exposure to both real-world commercial problems and scalable internal product builds. Their focus sits heavily in customer intelligence, predictive modelling and behavioural analytics across sectors including utilities, telecoms, financial services and charities. This is a strong opportunity for someone who wants broader ownership than a typical delivery-focused DS role. This role will sit at the intersection of product, analytics and machine learning. You’ll help prototype, test and shape new analytical products, building models that directly influence how clients engage customers, optimise collections and improve commercial performance. Key Responsibilities • Build and optimise predictive models including propensity and scoring models, • Prototype new analytical products using Databricks notebooks, • Define product-level features, scoring logic and model outputs, • Conduct data discovery and exploratory analysis across large customer datasets, • Work closely with Product Managers and Analysts to shape new product capability, • Present insights and model outputs to internal and external stakeholders, • Evaluate emerging AI and machine learning techniques for product innovation Key Details • Salary: Up to £65,000, • Location: Hybrid (minimum 2 days in London), • Tech stack: Python, SQL, Databricks, Azure, • Sponsorship: Cannot sponsor Interested? Please apply below.

A globally recognised, high-growth consumer brand is looking for a Commercial AI & Data Lead to build and own its next-generation agentic AI framework across commercial and sales functions. This is not a strategy role. This is a build role. You’ll design and deploy production-grade AI systems that directly impact revenue, performance, and decision-making - working at the intersection of AI engineering and commercial strategy. The Mission Design and scale a commercial agent ecosystem, enabling smarter, faster decision-making across multiple domains. Tech Stack Snowflake | Python | OpenAI/Claude APIs | LangGraph/CrewAI | dbt | SQL What we’re looking for • Experience building production AI / multi-agent systems (LangChain, LangGraph, CrewAI, AutoGen, etc.), • Strong Python engineering skills (clean, production-grade code), • Hands-on experience with cloud data platforms (Snowflake preferred), • Ability to translate complex AI systems into clear commercial impact, • 4–9 years’ experience as a hands-on builder (not a pure manager) Nice to have • FMCG / retail / commercial analytics experience (NIQ/Circana a plus), • dbt / semantic layer design, • MLOps, evaluation & observability tooling, • Background in consulting or data science roles, now looking to own a product end-to-end Why this role is different • Build real systems, not decks, • Own the architecture, not just execution, • Work directly with commercial leaders, • Join a brand known for innovation, pace, and cultural impact If you’re an AI engineer or data scientist who wants to move from projects → product ownership, this is your role. Central London based - Hybrid £90k base + significant bonus & benefits package

Applied AI / Automation Engineer 📍 London (Hybrid) 💰 Up to £120,000 (Depending on experience) 📅 12-month FTC We’re partnering with a highly regarded investment-focused organisation to hire an Applied AI / Automation Engineer into their London team. This is a hands-on, high-impact role focused on building an intelligent automation platform that transforms complex operational workflows into scalable, production-grade systems. The Role You’ll take ownership of designing and delivering an end-to-end AI-driven reporting and automation platform, working closely with Data Science and operational stakeholders. This is a build-from-scratch opportunity — ideal for someone who enjoys solving real-world complexity and turning manual processes into robust, automated systems. What You’ll Be Doing • Designing and building an automated reporting platform from the ground up, • Creating intelligent workflows across data ingestion, validation, and reconciliation, • Implementing AI-driven and agent-based automation to streamline operations, • Introducing exception handling and human-in-the-loop systems where needed, • Ensuring systems are accurate, auditable, and production-ready, • Partnering closely with product and operations teams to translate business problems into scalable solutions, • Evolving tooling into a maintainable internal product, not just scripts What They’re Looking For • Strong experience in Python, SQL, and automation engineering, • Proven track record building data pipelines and production systems, • Experience integrating systems via APIs and structured data feeds, • Solid understanding of CI/CD, testing, and system reliability, • Strong systems thinking and end-to-end architecture capability, • Ability to work closely with non-technical stakeholders Nice to have: • Experience in financial services / regulated environments, • Exposure to reconciliation, accounting, or control processes, • Experience with workflow orchestration tools or internal platforms, • Frontend/tooling exposure (e.g. React / TypeScript) Why Join? • Opportunity to build a greenfield AI platform with real business impact, • Work at the intersection of AI, automation, and complex financial systems, • Highly collaborative environment with strong technical ownership, • Chance to shape how AI is applied to real-world operational workflows

Head of Data Science 📍 London Hybrid 2 days a week |💰 Up to £130,000 + benefits Do you want to lead a world-class data science function at a high-growth organisation where AI, machine learning and advanced analytics sit at the heart of commercial strategy? We're looking for a Head of Data Science who's passionate about building and scaling teams, driving innovation and translating complex data into decisions that directly influence business growth What You'll Do as Head of Data Science • Lead, mentor and grow a team of data scientists, fostering a culture of innovation, rigour and continuous improvement., • Define and own the data science strategy, roadmap and ways of working across the function., • Take ownership of high-impact use cases spanning marketing, pricing, de\mand forecasting and AI innovation., • Design and oversee the delivery of predictive models and advanced analytics solutions that unlock new revenue opportunities., • Partner with senior leadership across Growth, Strategy and Technology to embed scalable data science solutions into operational systems., • Translate complex technical outputs into clear, compelling narratives for board-level and executive stakeholders., • Champion AI and machine learning innovation, staying ahead of industry best practice and emerging technologies., • Promote ethical data use, governance and compliance across all analytics initiatives. What You Bring as Head of Data Science • Proven experience leading a data science or advanced analytics function., • Deep technical expertise in Python, SQL and Spark SQL., • Hands-on experience with machine learning frameworks including TensorFlow, PyTorch and scikit-learn., • Experience with distributed computing and cloud platforms such as AWS, Azure Synapse or Snowflake., • Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML)., • Strong commercial acumen with the ability to translate business problems into scalable, impactful solutions., • A track record of influencing at senior and executive level, with excellent stakeholder management skills., • Knowledge of governance, compliance and ethical AI frameworks. Why You'll Love It Here • Competitive salary up to £130,000, • Hybrid working model, • Performance-related bonus, • Private pension scheme & life assurance, • Employee assistance programme, • Access to Perks at Work with thousands of national & local discounts, • Ongoing training and development opportunities If you're ready to lead a data science function that drives real commercial impact, apply now for this Head of Data Science role and help shape the future of data-driven decision making. Unfortunately, due to the volume of applications, not all submissions will receive feedback.

Department Tech Employment Type Full-time, London Office Attendance Expectation Hybrid About the role At &Dine, we’re building a community of food lovers, connecting exceptional independent makers with teams who want better food at work. We’re looking for a Senior Software Engineer who cares about quality, performance, and product impact - someone who enjoys solving real-world problems at scale and shaping how a platform grows, not just writing code. You’ll work across front-end, back-end, and infrastructure, partnering closely with product, operations, and design to deliver reliable, elegant solutions across ordering, payments, logistics, and internal tools. What you'll be doing • Lead development across key product areas from concept to production, • Build high-quality front-end features using a modern JS stack (Vue/Nuxt or similar), • Design and maintain scalable APIs and services in Node.js with SQL/Sequelize, • Mentor junior engineers through code reviews, pairing, and technical guidance, • Help shape our technical roadmap and introduce new tools, frameworks, and practices where they make sense, • Own technical decisions around architecture, performance, and reliability, • Collaborate with product and operations to translate business needs into robust solutions, • Improve system observability, monitoring, and incident response, • Identify technical debt and proactively drive refactors, • Support CI/CD, deployment pipelines, and environment management What we're looking for • Strong experience as a Senior Software Engineer or equivalent, • Proven ability to guide and support junior developers, • Deep knowledge of modern front-end frameworks (Vue, React, or similar), • Solid back-end experience with Node.js and relational databases (Postgres/MySQL) using ORMs such as Sequelize, • Confidence in evaluating and adopting new technologies pragmatically, • A product-led mindset: you care about outcomes, not just implementations, • Comfortable in a fast-moving startup environment, • Clear communicator across technical and non-technical teams, • A genuine interest in food, hospitality, or building better workplace experiences Front-end Experience with some of the following, or a strong willingness to learn: • JavaScript / TypeScript – modern ES standards, async patterns, clean architecture, • Frameworks – Vue / Nuxt (or React / Next.js), component-based development, • State management – Vuex, Pinia, or equivalent patterns, • API integration – REST/JSON, error handling, loading states, • Performance – bundle optimisation, code splitting, rendering strategies, • Accessibility & UX – semantic HTML, responsive design, usability best practice, • Testing – unit and component testing (Jest, Vitest, Testing Library, Cypress/Playwright), • Version control – Git workflows, PR reviews, and collaboration Back-end Experience with some of the following, or a strong willingness to learn: • Node.js – building scalable, maintainable services, • APIs – RESTful design (GraphQL a plus), authentication, validation, rate limiting, • Databases – PostgreSQL / MySQL, schema design, indexing, query optimisation, • ORMs – Sequelize or similar (migrations, associations, transactions), • Business logic – handling payments, scheduling, pricing, permissions, and workflows, • Testing – unit, integration, and API testing, • Security – data protection, authentication, role-based access, and best practices DevOps/Infrastructure Experience with some of the following, or a strong willingness to learn: • CI/CD – GitHub Actions, GitLab CI, or similar automated pipelines, • Cloud platforms – AWS, GCP, or Azure, • Containerisation – Docker and environment configuration, • Deployments – staging/production environments, rollback strategies, • Monitoring & logging – error tracking, performance monitoring, alerting, • Reliability – uptime, backups, and incident response Engineering Practices • Writing clean, maintainable, well-documented code, • Code reviews and constructive technical feedback, • Coaching juniors and helping them level up technically, • Evaluating new technologies and introducing them where they deliver clear value, • Designing systems with scalability, performance, and security in mind, • Pragmatic decision-making in a startup environment Bonus points if you • Have led or owned major product areas or technical initiatives, • Have introduced new tools, frameworks, or processes that improved delivery or quality, • Have experience with Nuxt, server-side rendering, or marketplace platforms, • Have any of the certificates LPIC-1, LPIC-2 or AWS associate, professional or specialist, • Have experience being Security Champion and knowing STRIDE, PASTA and Hybrid, • Have worked on B2B, payments, logistics, or operationally complex systems, • Care deeply about food, hospitality, and how shared meals bring people together Benefits of working at &Dine • Join our options pool and be a business owner!, • £250 learning and development budget. Here we’ve got some courses that may be beneficial to your development at &Dine., • Charlie HR. Secure great offers too from top retailers such as John Lewis and Samsung via our HR Platform., • Enjoy your birthday. Take a day off for your birthday - on us!, • £500 referral bonuses. If you bring in a new face to the business, once they have passed their probation period, you will receive £500!, • Team socials. We’re big foodies, so you’ll be sure to enjoy some food and drink with us, as well as some great activities!, • Work abroad for 1 week

🚀 Contract Role: AI / Data / ML Prototype Engineer (Rapid PoC Builder) We are seeking a highly autonomous contractor who thrives on turning loosely defined ideas into working solutions quickly. This role is focused on rapid experimentation, validation, and prototyping—not long delivery cycles. The goal is simple: determine quickly whether an idea is viable and worth scaling. 🧩 The Role You will take early-stage concepts and independently build end-to-end proofs of concept (PoCs), combining data engineering, machine learning, and lightweight application development. Where a PoC shows promise, you will extend it into a functional prototype aligned to real business needs. You will work with minimal guidance, move fast, and communicate findings clearly to stakeholders. ⚙️ Key Responsibilities • Build PoCs from loosely defined ideas within 2–3 days, • Design and implement end-to-end experimental solutions (data → model → output), • Combine data engineering, analytics, and ML to test feasibility quickly, • Develop lightweight prototypes (APIs, notebooks, dashboards, simple UIs), • Translate business ideas into technical approaches independently, • Iterate rapidly based on feedback and refine working solutions, • Integrate data from APIs, SQL sources, and cloud platforms, • Apply ML/NLP techniques where relevant to validate concepts, • Clearly document and communicate outcomes, assumptions, and limitations, • Strong ability to turn ideas into working software quickly, • Hands-on Python experience (data processing, prototyping, ML), • Strong SQL and data engineering skills (APIs, pipelines, cloud data), • Experience building end-to-end prototypes, not just models, • Understanding of ML fundamentals (feature engineering, evaluation, etc.), • Ability to work in ambiguous, fast-moving environments, • Experience integrating LLMs or AI services into applications, • Familiarity with modern data platforms (e.g., Snowflake), • Experience with visualization tools (Tableau, Plotly, etc.), • You can go from idea → working PoC in 2–3 days, • You can evolve PoC → usable prototype in 2–3 weeks, • You help teams make fast, evidence-based decisions, • You prioritise practical outcomes over perfect engineering

Loan Data SME London- (Hybrid) £550-£575 emagine is a high-end professional services consultancy and solutions firm Specialising in providing business and technology services to the financial services sector, we power progress, solve challenges and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication in delivering the optimal service for our clients. Our commitment is not just towards our clients but we aim to foster a positive and equitable working environment with our consultants and colleagues which stems from our core values: Confident, Dedicated, Responsible, Genuine. We are seeking a Loan Subject Matter Expert within Treasury will lead the extraction, interpretation, and refinement of loan data for liquidity and resolution use cases. This role requires deep knowledge of loan attributes and their impact on liquidity metrics and regulatory reporting, including expectations from the Bank of England (BoE) and the HKMA. Strong stakeholder management skills across Treasury, Finance, Risk, Technology, and Data teams are essential for driving successful delivery. Main Responsibilities * Define, interpret, and govern loan attributes used in Treasury liquidity and resolution processes. * Lead data refinery extraction activities including source-to-target mapping and data quality controls. * Translate business requirements into clear data specifications. * Partner with Technology/Data teams for accurate implementation of rules in pipelines and data models. * Apply Treasury liquidity concepts to loan data usage. * Ensure loan attribute treatment supports resolution-related needs. * Manage multiple stakeholders aligning priorities and resolving conflicts. * Chair working sessions to agree definitions and sign off outcomes. * Provide status reporting, RAID management, and delivery plans. * Maintain robust documentation including data dictionaries and business rules. Key Requirements * Strong SME knowledge of loan products and attributes. * Proven experience in data extraction/refinery work. * Working knowledge of Treasury liquidity concepts. * Familiarity with resolution/resolvability rules. * Strong stakeholder management skills. * Excellent written communication abilities. Nice to Have * Experience with liquidity/regulatory reporting in a global bank. * Understanding of data management disciplines (BCBS 239 principles). * Hands-on experience with data tooling (e.g., SQL). * Experience in agile delivery environments (Jira/Confluence). Our people The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle, from strategy to implementation. This will provide you with a broad base of experience from which to build an outstanding career. The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle. Interested? At emagine, we are committed to building an international and diverse team by embracing our different backgrounds. If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential. “emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin”

OUR ORGANISATION Twelve Securis, formed from the merger of Twelve Capital and Securis Investment Partners, is a leading, founder-led business and one of the largest, most experienced insurance-focused investment managers globally. With offices in London, Zurich, Munich, Bermuda and Tokyo we manage in excess of USD 9.5 billion in assets primarily in Catastrophe (Cat) Bonds and other Insurance-Linked Securities (ILS). THE ROLE We are hiring a Middle Office Analyst with a strong background in middle office investment operations on a permanent, full-time basis to join a dynamic working environment. The position is based in our London/Zurich office and will support core functions as outlined below. MAIN RESPONSIBILITIES • Provide support to the Investment Management team to ensure efficient and timely implementation of investment decisions, • Continuously review FX exposures and execute FX hedging strategy, • Monitor and validate the fund’s Net Asset Valuation calculations, • Calculate and review fund performance estimates, • Oversee and coordinate the client reporting process, • Maintain and update internal and external systems with investment and product reference data, • Support product lifecycle events (e.g., onboarding of new funds, fund restructurings, and fund liquidations), • Handle internal as well as external ad-hoc requests PERSONAL ATTRIBUTES AND OTHER REQUIREMENTS • University degree (BA equivalent) and 5 + years ofrelevant experience in Operations/Middle Office within the Investment Management industry, • Solid understanding of financial instruments (fixed income, equities, FX, futures, swaps, etc.), • Advanced understanding of fund accounting principles, • Process-oriented with strong analytical skills and attention to detail, • Ability to handle multiple tasks with tight delivery schedules, • Advanced Excel knowledge, • Experience with VBA, SQL and Python is an advantage, • Team-oriented, with a proactive, positive approach to tasks, • Excellent command of English both written and spoken, • The right to work in the UK/Switzerland WHAT WE OFFER • Opportunity to work in a fast-growing segment of the asset management industry, • International, inclusive, and dynamic work environment in a company that values innovation and initiative, • Competitive compensation package EQUAL OPPORTUNITIES At Twelve Securis, we champion equal opportunities, recognising and valuing the distinct contributions each individual offers. Our dedication is to cultivate an inclusive environment that nurtures diversity, inviting everyone to be part of our team and express themselves sincerely at work eFCSoSe

OCR are partnered with an established multi-billion dollar hedge fund that is actively looking to hire an on-desk TA for their London Office, focusing on Credit products. The firm is a prestigious multi-strategy fund with offices across the US, Europe and Asia. The role sits with the credit investment team working directly with PMs and Traders, supporting ad hoc tasks, booking trades, trade capture and trade allocations. The operations team sits separately, providing you with daily exposure to front office decision-making and progression opportunities into front office roles. The ideal candidate will up to 3 years of experience in either a hedge fund or an investment bank with strong credit product knowledge. Experience with Python or SQL is also desirable. The firm offers competitive compensation packages, an excellent company culture and a genuine route for front office progression. Please apply to find out more information

About the Role: Grade Level (for internal use): 07 The Team: As part of the Distribution team, you will join a very collaborative and professional group. You will understand the team's broader goals and how your work plays a vital role in our success. Here, you will be able to gain broad knowledge within the financial world related to asset classes including Fixed Income, Commodities, and Equities. We value team players who are supportive, collaborative, and actively participate in team discussions. This is a position as a 1st line of support for the main Feed product of S&P Global Market Intelligence Group, Xpressfeed. It involves learning about each of the data packages that we support, using foundational accounting and finance knowledge alongside SQL and technical skills in order to reply to our clients' questions. You will live the S&P Global purpose and values, seeking connections to your day-to-day work while generating new ideas and thinking outside the box. The Impact: You will contribute to the team and company in a substantial way by answering client queries while showcasing your growing knowledge of our tools, data and the industry we cover. You will integrate into a group with high expectations and can expect to have a significant impact by producing high-quality output and meeting specific timelines. Your position is critical as it is the link between the end-user and our products. Combining an expertise in our products with a deep understanding of who our clients are and how they use our tools, you will act as a consultant providing the best and most efficient ways for our clients to achieve quality results. You will also take the initiative to provide support to the team and pay close attention to detail to identify potential issues early. Responsibilities: • Respond to client inquiries regarding data feed products by applying your skills to situations where the output is clearly defined., • Improve technical expertise in User Acceptance Testing (UAT), MS Excel, and SQL to become more resourceful and solution-oriented., • Provide professional, timely, and quality support for feed-based products always looking for ways to improve quality., • Record and track client issues accurately in the Client Relationship Management system., • Document solutions and product updates., • Collaborate with internal teams to address client concerns, improvement requests, and sales leads, seeking ways to work with others and contribute outside of your given tasks., • Stay updated on existing and new product offerings while assessing the urgency of tasks allocated to you., • All employees are required to work from the office a minimum of 2 days per week.What We're Looking For: Basic Required Qualifications: • An S&P Global employee at this level would typically have 0-2 years of working experience., • High proficiency in another European language (German, French, or Spanish)., • Bachelor's degree in Finance, Business, Accounting, Economics, or a related field., • Experience with Outlook, Word, and PowerPoint., • Foundational knowledge of corporate accounting statements (income statement, balance sheet, cash flow statement)., • Strong written and verbal communication skills, attention to detail, and multitasking ability., • Team-player mentality and adaptability to dynamic environments, with the emotional intelligence to understand how your own behaviour impacts different situations., • Proficiency in Excel., • We require all candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global office. This must be completed before we can proceed to an offer. Additional Preferred Qualifications:, • Knowledge of investments (private equity, public equity, fixed income, ETFs, mutual funds, commodities)., • Familiarity with Capital IQ Platform/Products., • Basic knowledge of SQL. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: Know Your Rights: Workplace discrimination is illegal 20 - Professional (EEO-2 Job Categories-United States of America), OPRTON203 - Entry Professional (EEO Job Group)

Company An asset manager with about 10b in AUM. Position Overview A permanent, full-time opportunity is available for a Fund Accountant (Operations) with a strong background in investment operations. The role is based in London and supports core operational functions in a dynamic and collaborative environment. Key Responsibilities • Support the Investment Management team to ensure the efficient and timely execution of investment decisions, • Monitor foreign exchange exposures and execute FX hedging strategies, • Validate and oversee Net Asset Valuation (NAV) calculations, • Calculate and review performance estimates for investment funds, • Coordinate and manage the client reporting process, • Maintain and update both internal and external systems with investment and product reference data, • Assist in managing product lifecycle events, including fund onboarding, restructurings, and liquidations, • Holds a university degree (or equivalent) with relevant experience in fund operations or middle office roles within the investment management industry, • 5+ years of relavent experience, • Demonstrates a solid understanding of financial instruments such as fixed income, equities, FX, futures, and swaps, • Strong knowledge of fund accounting principles, • Highly process-oriented with excellent analytical skills and attention to detail, • Comfortable managing multiple priorities under tight deadlines, • Proficient in Excel; experience with VBA, SQL, or Python is advantageous, • A team-oriented mindset with a proactive and positive approach, • Fluent in English, both written and spoken, • Exposure to a growing segment of the asset management industry, • An international, inclusive, and collaborative working environment

About the Role: Grade Level (for internal use): 10 The Team: Platts is seeking an experienced Quantitative Analyst for its Commodity Risk Solutions team. We deliver solutions that support commodity risk functions across global energy markets, specializing in quantitatively derived forward curves for markets and periods with limited liquidity. Our multi-disciplinary team spans the globe and owns the design, development, and operation of our models. Responsibilities and Impact: • Develop quantitative models for new forward pricing points in illiquid locations and commodities using MATLAB, Python, SQL, • Maintain, enhance, and validate existing forward curve models while ensuring internal and external methodologies remain current, • Ensure accurate and timely daily publication of forward curves, • Respond to client requests and inquiries with supporting data and other insights, • Collaborate with internal stakeholders to support ongoing product enhancements, • Serve as backup coverage for other global team members as required What We're Looking For: Basic Required Qualifications: • Advanced Degree preferred in similar fields. Minimum BA/BS in Physics, Economics, Finance, or Engineering., • Proven work experience performing commodity quantitative or market analysis in 1 or more of the following markets: Crude Oil; Refined Products; Electricity; Natural Gas; LNG, • Regional commodity experience from Europe/Middle East or Asia., • Experience with Risk Management, forward curves and/or volatility is essential., • Experience using the following tool/technologies required: Scientific Programming (Matlab/Python/R/SAS), SQL databases, and MS Excel., • Displays well-rounded communication skills that implement good listening techniques, clear, concise writing style and good verbal skills. Ability to communicate across a wide range of groups and personalities internally and externally., • Works well in a team environment, focusing on collaboration and adapting to the needs of a diverse team., • Adept at managing multiple tasks and adhering to regular deadlines. Able to adjust priorities throughout the day., • Self-Starter required - you will be working remotely from management and must be able to diligently pursue tasks and manage priorities. S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: Know Your Rights: Workplace discrimination is illegal 20 - Professional (EEO-2 Job Categories-United States of America), ANLYTC202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

Who we are We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge. At Dare, you will be joining a team of ambitious individuals who challenge themselves and each other. We have a culture of empowering exceptional people to become their best selves. The Role This graduate role sits within the Trading Risk & Operations team and offers the opportunity to work on key projects at the intersection of Finance, Risk, and Technology. You will support the transformation of key Finance processes by helping to automate manual workflows, improve data quality, and deliver actionable insights to stakeholders. Working closely with experienced team members, you’ll gain exposure to a fast-paced trading environment whilst developing skills in data, process improvement, and automation. • Support the documentation and mapping of existing Finance processes, working with stakeholders to understand workflows and data requirements, • Assist in identifying opportunities to improve and automate manual processes, • Implement a fully automated and trustworthy solution:, • Data ingestion, control and maintenance, • Processing the data to build reports, • Participate in testing and parallel runs to ensure accuracy and reliability of new solutions, • Monitor and maintain automated processes in production, ensuring data integrity and smooth operation, • Implement visualisation tools to help key stakeholders gain insight from the data and support decision-making, • Contribute to ongoing improvements in Risk and control processes, • Explore and apply modern tools, including AI, to enhance efficiency and delivery speed What You’ll Bring • A degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent hands-on experience in a role involving regular programming, • Strong programming skills in Python (with experience using libraries such as Pandas), along with familiarity with SQL and working with databases (e.g. Snowflake), • Experience with version control (e.g. GitHub), alongside exposure to data visualisation tools or lightweight application frameworks (e.g. Streamlit or similar), and familiarity with Excel (VBA is a plus), • Solid communication skills, with the ability to work effectively with stakeholders across teams such as Technology and Finance Desirable • An interest in, or basic understanding of, commodities markets or accounting principles, • An interest in project-based work, including translating business requirements into practical solutions and supporting their implementation Benefits & perks • Vitality health insurance and dental cover, • 38 days of holiday (including bank holidays), • Pension scheme, • Annual Bluecrest health checks, • A personal learning & development budget of £5000, • Free gym membership, • Specsavers vouchers, • Enhanced family leave, • Cycle to Work scheme, • Credited Deliveroo dinner account, • Office massage therapy, • Freshly served office breakfast twice a week, • Fully stocked fridge and pantry, • Social events and a games room Diversity matters We believe in a workplace where our people can fulfil their potential, whatever their background or whomever they are. We celebrate the breadth of experience and see this as critical to problem-solving and to Dare thriving as a business. Our culture rewards curiosity and drive, so the best ideas triumph and everyone here can make an impact. Please let us know ahead of the interview and testing processes if you require any reasonable adjustments or assistance during the application process.

Analytics & AI Lead Business Intelligence, Oracle Analytics Cloud, OAC, Oracle Business Intelligence Enterprise Edition, OBIEE, Data governance, Data literacy, ETL, Data modelling, Dashboard development, Oracle ERP, HCM Cloud, eBusiness Suite, EBS, SQL, Oracle Machine Learning, Business analytics solutions, BI • £71,121 per annum + public sector pension and other benefits Day-to-Day of the Role: • Lead the design, development, and continual improvement of analytics products, focusing on Oracle Analytics Cloud (OAC) and Oracle Fusion Data Intelligence., • Manage the analytics and AI product roadmap in alignment with organizational goals and cross-functional teams., • Mentor and manage a team of reporting SMEs and analysts, promoting a culture of evidence-based delivery and user-focused design., • Engage with stakeholders to translate analytical needs into effective dashboards, reports, and automated solutions., • Champion data governance and literacy, ensuring data-driven decision-making across the organisation., • Design and optimise cloud-based integrations to enhance data connectivity across systems., • Lead operational changes including test planning, user training, and assessing change impacts., • Over 5 years of experience in analytics, business intelligence, or data product roles, preferably within large or complex environments., • Proven track record in implementing and delivering solutions using Oracle Analytics Cloud (OAC), Oracle Fusion Data Intelligence or OBIEE, • Experience with Oracle ERP/HCM Cloud or eBusiness Suite, and understanding of HR, Commercial, Finance, and Logistics functions., • Skilled in ETL, data modelling, and dashboard/reporting development., • Experience leading product teams or data-focused project teams with high-level stakeholder engagement. 27 days of annual leave (rising to 33 in 5 years), 20%+ pension contributions + others. In the first instance, please submit your CV.

Senior Business Analyst – Regulatory Reporting | Energy Trading | Up to £110,000 + Bonus + Benefits Senior Business Analyst with strong Regulatory Reporting experience is needed for an Energy & Commodities brokerage firm, who manage risk portfolios on behalf of their external clients, but also trade their own portfolio of Energy products including Power, Gas, LNG & Oil, in both financial (derivative) & Physical form. With new products being onboarded and new trading regulations coming to light (new Remit tables, Canada Regs etc…) the focus of the role is translating evolving regulatory requirements (EMIR, MIFID II, REMIT, Canada) into effective processes and system capability.. working closely with business and IT stakeholders to make sure the trading firm are compliant and ahead of the curve when it comes to business and systems regulations. As a Senior Business Analyst, you will support onboarding of new products to ensure regulatory alignment and compliance across EMIR, MIFID II, REMIT, Canada, working with Business stakeholders such as: finance, compliance, risk to meet regulatory reporting obligations. Leading improvements in trade surveillance, data mapping and workflow design. As a senior Business Analyst, you will be expected to translate the new regulatory requirements into clear functional specs for IT delivery, with a focus on data mapping, data flows and data integrity. This Senior Business Analyst role is: 💰Paying up to £110,000 + Strong bonus + Benefits 🏢2-3 days per week in office - London City 📑 Regulatory reporting, MIFID II, EMIR, REMIT, Canada As a Senior Business Analyst you will be expected to: • Have strong knowledge of up to date regulations including: EMIR, REMIT, MiFID II, • Understand the trade lifecycle (Ideally Commodities / Energy), • Understanding how ETRM systems integrate and their part in Regulatory data (Not a necessity), • Strong SQL to analyse, trace and track regulatory datasets, • Demonstrable stakeholder communication skills, working in a fast paced environment. If you are interested in this senior Business Analyst role, please do send your latest CV via this advert or to Senior Business Analyst – Regulatory Reporting | Energy Trading | Up to £110,000 + Bonus + Benefits

The company • PE-backed MarTech SaaS business in full scale mode. This is execution, not experimentation., • Circa 25M ARR today, tracking beyond 30M by year end. Real momentum., • Enterprise platform selling into global marketing and brand teams. Crazy brands on-board already!, • Proper revenue engine with defined targets, outbound discipline, and no guesswork. The opportunity This role exists because the US is a key growth market for these guys and you're the one to open it up! You’ll sit at the sharp end of the GTM motion, owning outbound and feeding an AE with consistent, high-quality SQLs. Today, most opportunities are self-sourced outbound. That’s intentional. Over time, marketing will warm the funnel, but this role is built for someone who can hunt without waiting to be spoon-fed. Expect clear expectations. Around 7–8 SQLs per month. Enterprise buyers. Longer sales cycles. Real conversations with marketing and brand leaders, not tyre-kickers. As the GTM structure matures, this role evolves. More territory ownership, tighter AE alignment, and a clear path beyond pure SDR work if you perform. The ideal candidate • Proven SaaS SDR (Mid-Enterprise) with clear evidence of quota attainment, not just activity -10-20 SQL's booked per month range., • Prior experience and success generating sales opportunities in the USA., • Strong outbound background. You know how to create opportunities, not wait for them., • Natural hunter mindset. Comfortable hearing “no” and pushing anyway., • Experience selling into marketing, digital, media, or AdTech environments is a big plus., • Confident working with distributed teams and minimal hand-holding., • Shows tenure, consistency, and intent to build something., • High energy. You bring momentum, not noise. What’s in it for you • £40k - £50k base salary., • £70k+ OTE with accelerators tied to SQL delivery., • 25 days holiday + public holidays, • Health Insurance, • Life & disability insurance, • Enhanced sick leave, • Hybrid setup with a clear desire to build in-office energy over time, ideally Berlin-based., • Real exposure to a scaling, PE-backed revenue engine with visibility and upside if you execute. This is a proper SDR role. Clear targets. Enterprise buyers. A business that knows where it’s going. If you want comfort, look elsewhere. If you want to build pipeline that actually matters, this one’s worth a look.

Job Title: AI Engineer Location: Remote / Onsite / Hybrid Job Type: Full-time / Contract About the Role We are seeking an experienced and forward-thinking AI Lead Engineer to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of GenAI-powered agentic systems that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You’ll serve as the technical lead within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts. Key Responsibilities • Own the technical design and architecture of GenAI agent workflows within the Business Pod, • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools, • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices, • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns, • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI, • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution, • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues, • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic, • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques, • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling, • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback, • Contribute to the automation of testing, deployment, and validation pipelines for AI agents, • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions, • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration, • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar, • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory, • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks, • Solid foundation in distributed system design, including state management, retries, error handling, and resilience, • Experience with business process automation or workflow automation in real-world environments, • Comfortable working with SQL/NoSQL databases, including data modeling and validation, • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP), • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration, • Contributions to open-source agent frameworks or AI tooling., • Experience working with observability and monitoring tools to track agent performance., • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

Job Title: Front End Engineer - AI Location: Remote / Onsite / Hybrid Job Type: Full-time / Contract About the Role We are seeking an experienced and forward-thinking Front End Engineer to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of GenAI-powered agentic systems that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You’ll serve as the technical lead within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts. Key Responsibilities • Own the technical design and architecture of GenAI agent workflows within the Business Pod, • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools, • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices, • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns, • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI, • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution, • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues, • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic, • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques, • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling, • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback, • Contribute to the automation of testing, deployment, and validation pipelines for AI agents, • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions, • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration, • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar, • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory, • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks, • Solid foundation in distributed system design, including state management, retries, error handling, and resilience, • Experience with business process automation or workflow automation in real-world environments, • Comfortable working with SQL/NoSQL databases, including data modeling and validation, • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP), • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration, • Exposure to multi-agent patterns (e.g., supervisor-worker, planner-executor, judge-critic) is a strong plus Nice to Have • Contributions to open-source agent frameworks or AI tooling., • Experience working with observability and monitoring tools to track agent performance., • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

Data Engineer / Permanent / London Hybrid - 3 days onsite / up to £45,000 This is a fantastic opportunity to join a leading global organisation with a strong international presence, dedicated to delivering customer-centric services while investing in innovation, technology, and growth. The role offers the chance to further develop your skills and gain professional certifications, working alongside experienced professionals in a collaborative and supportive environment designed to support your progression. What you’ll do: • Build and optimise Azure data pipelines (ADF, Databricks), • Support migration into Azure Data Lake, • Drive data quality, governance, and performance, • Collaborate with global teams in an agile environment What you’ll bring: • Strong SQL + ETL/ELT experience, • Knowledge of Python / T-SQL, • Exposure to cloud platforms (Azure preferred) Nice to have: Databricks, Spark, CI/CD, big data This is a great opportunity to join a high-impact data team in a global organisation and shape how data is used across the business. If this sounds like a good fit then please apply today! *Please note that unfortunately the client cannot offer sponsorship for this position.

About the job At Charterhouse, we don't just deliver technology - we enable transformation. With over 30 years of experience, we are a trusted provider of integrated IT and communications solutions, helping organisations connect, collaborate, and secure their operations. Our team of 200 passionate professionals work across the UK, delivering innovative solutions in cloud, security, UC&C, mobile, and data networks. We're proud of our client-centric approach, our strategic partnerships with world-class vendors, and our commitment to sustainability and community impact. Our values - Be Your Best Self, Own It, Love What You Do, Do The Right Thing - are at the heart of everything we do. Charterhouse Group took investment in 2018, having identified the Unified Communications (UC) sector as a high growth market. Since initial acquisition, Charterhouse has acquired five complementary technology businesses across UC, LAN, Microsoft and Cyber Security, providing our clients with a mature and expansive solutions portfolio. The Role As a Sales Development Representative (SDR), you'll focus on generating new business opportunities for the company by identifying, contacting, and qualifying potential customers. You'll do this through both outbound activity, supported by HubSpot Sales Pro, Cognism, ZoomInfo, LinkedIn Sales Navigator and Zoom, and through handling and converting inbound leads which come into the business via a range of channels. We target organisations with 500+ employees and above from an outbound perspective, so you'll need to be comfortable talking to senior decision makers within large organisations in a range of functions. This is a commission-earning role, with commission paid for both outbound meetings booked and inbound lead conversion (to meetings). Key Responsibilities • Delivering outbound meetings through following our defined prospecting process, • Converting inbound leads into qualified meetings for the new business team, • Tracking and reporting all this engagement in key business systems e.g. HubSpot, CRM (Dynamics), • Supporting the business on converting interest associated with specific campaigns and initiatives as required Measuring Success (KPIs) • Outbound meetings booked - target per month, • % inbound leads converted to meeting - target per month, • Activity steps completed in HubSpot, daily dial volumes reported by Zoom, • Average deal value (measured in Y1 GP) generated from meetings, with a goal % conversion rate from SQL (meeting) to quoted opportunities What You Bring • Experience in B2B telesales; tech, comms or SaaS, • Experience prospecting senior decision makers (CIO / CISO / CTO / Digital / Procurement), • Experience using similar systems to HubSpot for prospecting, • Experience handling and converting inbound leads from a range of channels; webchat, phone, email, marketing campaign engagement, • CRM (e.g. Dynamics) literacy, • Excellent communicator and collaborator, • A strong team player; seeking to support other team members, share experience and work together to achieve team outcomes as well as meeting personal KPIs, • Degree in Marketing, Business or related field preferred Why Join Us? • A vibrant, inclusive culture where your voice matters, • Competitive salary, • Flexible working arrangements, • Career progression opportunities, • Commitment to sustainability and giving back to the community Benefits Join us, and your benefits and perks will include private healthcare, Medicash cashback, life assurance, workplace pension, cycle to work scheme, access to our employee assistance programme, savings discount, 20% EE discount that extends to your family and friends, a birthday gift voucher and day off, plus more.

Exclusive Role - Exposure Management Analyst (PVT specialism) - up to £50,000 (FTC - 6 Months/Permanent Position) I am keen to speak with exposure management analysts with specialisms in PVT, hold 1+ years of experience in the industry, and have a good understanding of SQL, RMS, Sequel Impact, and any other relevant tools. This is a fantastic opportunity with a Lloyd's syndicate that will boost your career, and support your progression towards senior roles in the future. If you are keen to discuss this role in further detail, please reach out to me via LinkedIn or email to discuss further

About us Lumen Cards is a new consumer lending business preparing to launch its first credit card to the UK consumer market in Q1 2026. Our management team brings over 20 years of experience each in consumer finance, and we operate from two locations: London Kings Cross, and Leicester. At Lumen, we approach consumer lending with a “do the right thing” mindset. Our goal is to provide credit that helps customers solve real-life problems. We’re committed to building a great place to work. We want every colleague to feel valued, empowered and impactful. We celebrate shared success, support one another through challenges and foster a culture where ideas are welcomed, and collaboration is second nature. When things go wrong, we don’t point fingers, but we pull together to find a way forward. Role Overview You will be joining Lumen at an exciting time, as we prepare to launch first credit card product. We are looking for a credit & commercial manager to lead the development and optimisation of our credit strategy from day one. This is a key role in an early-stage fintech, where you’ll be the central point of expertise for credit risk decisioning, responsible for shaping credit strategy for acquisitions, managing in-life credit performance, and driving commercial outcomes. You’ll design and implement, data-driven credit strategies that balance growth, risk, and customer outcomes. In a new lending business and ever changing macro-economic environment, credit dynamics evolve quickly, and your role will be critical in ensuring our strategies are proactive, responsive, and resilient. You’ll work across pricing, credit limits, affordability, and portfolio optimisation, collaborating with product, tech, and data teams to embed credit thinking into every part of the customer journey. We are a small but rapidly growing business. The role holder will be expected to be a hands-on contributor to the business while also helping mentor new joiners as we grow. This is a unique opportunity to help build a responsible lending business from its earliest stages, influence strategic decisions, and make a meaningful impact on how credit is delivered to UK consumers. Key Responsibilities Credit Strategy & decisioning • Optimise credit strategy and decisioning for credit cards, including deployment of new risk scorecards and understanding associated risks., • Shape and enhance credit policy, working closely with product and tech teams to implement changes., • Leverage alternative data sources such as Open Banking to improve credit decisioning and expand access. Pricing & Commercial Strategy • Manage pricing and commercial strategy, providing recommendations to senior leadership., • Build and maintain NPV and pricing optimisation models to inform lending decisions, while understanding their limitations., • Formulate strategies to improve affordability policy and ensure responsible lending and good customer outcomes. Portfolio & Performance Management • Monitor credit performance across new customer acquisition and in-life credit line increases., • Track loss rates, risk-adjusted income, and affordability outcomes, recommending strategy adjustments., • Analyse portfolio trends to identify areas of improvement and propose data-driven changes Insight, Forecasting & Reporting • Use advanced statistical techniques to predict customer behaviour and forecast future demand., • Support lifetime value modelling and scenario analysis to guide strategic decisions., • Build dashboards and tools to monitor performance., • Prepare regular updates for the credit committee and senior stakeholders Skills & Experience • Adept at translating analytical insights into commercial strategy, with a proven ability to influence senior stakeholders and drive decisions that balance growth, risk, and customer outcomes., • Proven experience (3-6 yrs) in credit risk analysis within consumer lending, ideally in credit cards or unsecured products., • Strong proficiency in SQL and/or Python for data manipulation, analysis, and model development., • Hands-on experience with credit scorecard deployment and credit policy design, including affordability assessments., • Ability to build and apply NPV, lifetime value, and pricing optimisation models to support lending decisions., • Skilled in leveraging alternative data sources (e.g. Open Banking) to enhance credit decisioning and expand access., • Familiarity with UK consumer credit regulations and responsible lending practices., • Experience in monitoring portfolio performance, identifying trends, and recommending actionable strategy changes. Personal Attributes • Structured and holistic thinker, able to approach complex problems with clarity and logic., • Commercially curious and analytically driven, with a passion for uncovering insights that drive business growth and improve customer outcomes., • Collaborative team player, comfortable working cross-functionally with product, tech, data science, and finance teams., • Adaptable and resilient, thriving in fast-paced, evolving environments., • Ownership-driven, with a high bar for quality, accountability, and impact., • Committed to continuous learning and knowledge sharing, staying ahead of industry trends and analytical techniques.

Job Title: Sales Operation Manager Location: Shoreditch (Hybrid – 3 days per week onsite) Duration: 12 months contract initially Max. Budget: £80k - £98k per annum + paid holidays + pension or £400 - £513 per day Inside IR35 Job Description: • The dedicated Sales Operations owner for the Partnerships & Retail business, will manage forecasting, performance tracking, budget oversight, and operational cadence for the global retail rebate programme., • Partnering closely with Sales, Finance, FP&A, Global Ops, Partner Ops and our external Vistex agency you will ensure the business runs on a consistent set of KPIs, with an accurate forecast, and a tight payment process ., • In this global individual contributor role, you will adapt your schedule across Americas, EMEA, and APAC time zones. You will operate with minimal supervision in a fast paced, evolving environment. What You Will Do: Forecasting & Planning • Own the operational forecast for the retail rebate budget — building scenario-based models (low / mid / high) that incorporate price changes, product transitions, partner mix, macro factors and historical performance., • Continuously refine forecast methodology to drive accuracy improvements (target ±5%) and reduce unplanned variances or executive escalations., • Translate promotional plans into multi-quarter financial outlooks, with clearly documented assumptions and buffer zones, working alongside Sales and Finance., • Run the bi-weekly and monthly performance review cadence — preparing standardised views, surfacing actuals vs. forecast and call-outs across KPIs (Sell-Through NIR, GNARR, Redemption ARR, Cost-of-Sale)., • Define and maintain a single source of truth performance dashboard, partnering with data science / partner ops to integrate multiple data sources (e.g., Databricks, SAP, partner sell-through and Vistex spend)., • Establish clear escalation triggers (Green / Amber / Red) and translate variances into actionable insight for leadership., • Own the operational cadence between Sales, Finance, APC Ops and Vistex — ensuring PO/PR raising, accruals, rebate processing and partner payments happen on time, every quarter., • Track PO balances against forecasted obligations and Vistex spend; partner with APC Ops to trigger PO amendments before issues surface., • Maintain documentation, SOPs and playbooks so the process is durable, auditable and not personality-dependent., • Be the operational glue across a multi-stakeholder ecosystem: Retail Sales, Finance / FP&A, Rev Ops, Global Sales Ops, Partner Ops, APC Ops and Vistex., • Package performance, variance and spend stories into clear narratives for SVP+ leadership reviews — connecting numbers to commercial reality (ARR growth, incrementality, partner dynamics)., • Support quarterly executive reviews and QRF submissions with Sales and Finance leadership, ensuring a single, aligned outlook. What You Will Need to Succeed: • 5+ years in a Sales Operations, Revenue Operations, Channel Operations or FP&A role — ideally with exposure to channel, retail, partner or contra-revenue businesses., • Strong financial and commercial acumen, with the ability to build complex scenario models in Excel and translate output into clear business decisions., • Comfort working with large, imperfect datasets across multiple systems (SAP, Databricks, partner files, finance systems). SQL or equivalent querying experience an advantage., • Outstanding written and verbal communication skills — able to distil detailed analysis into a crisp, one-page narrative for senior leadership., • Demonstrated ability to influence and align across business units, finance partners and external agencies without direct authority., • Self-starter attitude — comfortable defining your own operating model, building the playbook as you go, and working independently., • Strong project / program management approach (plans, turning points, owners, dates) with a controls / audit-ready attitude on financial processes., • Prior exposure to subscription / SaaS commercial models and indirect routes-to-market., • Familiarity with client’s commercial model, products and internal systems.

Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview The Quantitative Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. Responsibilities: • Develop analytics libraries used for pricing and risk-management, • Create, implement, and support quantitative models for the trading business leveraging a wide variety of mathematical and computer science methods and tools including hardware acceleration, advanced calculus, C++ including STL, C#, .NET, Java, object oriented software design, Python, kdb, Structured Query Language (SQL), mathematical finance/ programming and statistics and probability, • Develop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solvers, • Collaborate closely with Traders, Structurers, and technology professionals., • Work in close partnership with control functions such as Legal, Compliance, Market and Credit Risk, Audit, Finance in order to ensure appropriate governance and control infrastructure, • Build a culture of responsible finance, good governance and supervision, expense discipline and ethics, • Appropriately assess risk/reward of transactions when making business decisions; and ensure that all team members understand the need to do the same, demonstrating proper consideration for the firm's reputation., • Be familiar with and adhere to Citi's Code of Conduct and the Plan of Supervision for Global Markets and Securities Services; and ensure that all team members understand the need to do the same, • Adhere to all policies and procedures as defined by your role which will be communicated to you, • Obtain and maintain all registrations/licenses which are required for your role, within the appropriate timeframe, • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Recommended Qualifications:, • 6-10 years of experience in a comparable quantitative modeling or analytics role, ideally in the financial sector, • Must have technical/programming skills; C# .Net, SQL and C++ Exposure to Market Data; Statistics and Probability based calculations; Using probability theory to evaluate the risks of complex financial instruments, solve analytical equations and design numerical schemes to analyze complex contracts; and Software design and principles, • Must also possess any level of product knowledge, Investments and Quantitative Methods, • Consistently demonstrates clear and concise written and verbal communication skills Education:, • Bachelor's/University degree, Master's degree preferredThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Family Group: Institutional Trading ------------------------------------------------------ Job Family: Quantitative Analysis ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi's EEO Policy Statement and the Know Your Rights poster.