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• There are 2 versions of this ad. Below is the anodyne version. Bonus points if you can find the more analeptic version. And provide proof of your quest. Good luck!, • The Back-End Developer will work for a fast-paced startup in Central London., • The Back-End Developer will enjoy hybrid working., • The Back-End Developer will use Claude to accelerate development timelines., • The Back-End Developer will design and build robust server-side applications using .NET and C#., • The Back-End Developer will implement business-critical logic that performs heavy lifting at scale., • The Back-End Developer will design, query and optimise SQL Server databases., • The Back-End Developer will write efficient stored procedures, views and complex queries., • The Back-End Developer will develop and maintain RESTful APIs., • The Back-End Developer will ensure applications are performant, secure and resilient., • The Back-End Developer will deploy and manage services within AWS environments., • The Back-End Developer will work with AWS services such as EC2, RDS, S3 and Lambda., • The Back-End Developer will implement authentication and authorisation mechanisms., • The Back-End Developer will ensure adherence to cloud security best practice., • The Back-End Developer will identify and resolve performance bottlenecks across application and database layers., • The Back-End Developer will write unit and integration tests., • The Back-End Developer will participate in code reviews and architectural discussions., • The Back-End Developer will be comfortable with CI/CD pipelines and automated deployments., • The Back-End Developer will use version control systems e.g. Git., • The Back-End Developer will have a strong understanding of Agile methodologies., • The Back-End Developer will monitor logging, diagnostics and system health in production., • The Back-End Developer will have an excellent understanding of back-end engineering principles., • Still with us? Great. Then please send us a CV and a covering letter convincing us that you actually enjoyed reading the above. We look forward to hearing from you.

Marketing Data Scientist Salary: Up to £65k Location: London (hybrid) We’re working with a fast-growing, data-led consultancy that sits at the intersection of data science, marketing, and commercial strategy. What you’ll be doing: • You’ll work closely with marketing and performance teams, using messy, real-world datasets (think Meta, Google, CDPs) to uncover insights, design experiments, and build models that directly influence business decisions., • This is a hands-on role where you’ll own problems end-to-end, from data exploration and cleaning through to modelling, experimentation, and presenting insights to stakeholders. What they’re looking for: • Strong SQL & Python skills, ideally within cloud environments (GCP, AWS, Databricks), • Experience building or applying models such as LTV, churn, propensity, MMM or forecasting, • Exposure to experimentation (A/B testing, incrementality, Bayesian methods, causal inference), • Ability to work with messy data and turn it into clear, actionable insights, • Strong communication skills and confidence working with non-technical stakeholders Nice to have: • Experience with tools like dbt, Airflow, GA4, • Exposure to attribution modelling or performance marketing, • Interest in applying AI/ML within data workflows If you’re someone who enjoys solving ambiguous problems, working with real-world data, and wants to build a strong foundation in marketing-focused data science, this could be a great next step. Please reach out for a private conversation- Unfortunately, sponsorship is not available for this role!

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.

Data Scientist Location: London Hybrid – 2 days a week Salary: Up to £70,000 + benefits Do you want to shape growth strategy at a global entertainment leader where data, AI and advanced analytics power unforgettable experiences? We’re looking for a Data Scientist who’s passionate about turning complex, large-scale data into predictive models and actionable insights that directly influence commercial decisions and long-term growth. What You’ll Do as a Data Scientist • Take ownership of high-impact growth use cases across marketing, pricing and demand forecasting., • Design, build and deploy predictive models and advanced analytics solutions that unlock new revenue opportunities., • Work with large, diverse datasets to uncover patterns and trends that inform strategic decision-making., • Partner with Growth, Strategy and Technology teams to embed scalable data science solutions into operational systems., • Translate complex technical outputs into clear, compelling insights for senior stakeholders., • Drive experimentation and optimisation initiatives to improve performance across commercial channels., • Champion AI and machine learning innovation, staying ahead of industry best practice., • Promote ethical data use, governance and compliance across all analytics initiatives. What You Bring as a Data Scientist • Degree in Computer Science, Mathematics, Engineering or a related field., • Proven experience in a data science or statistical role., • Expertise in advanced analytics techniques including machine learning, optimisation and segmentation., • Strong proficiency in Python, SQL and Spark SQL., • Experience working with large datasets and distributed computing tools such as Azure Synapse and Snowflake., • Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow)., • Experience with data visualisation tools such as Power BI., • Strong commercial acumen with the ability to translate business problems into scalable analytical solutions., • Excellent collaboration and stakeholder influencing skills., • Knowledge of governance, compliance and ethical AI frameworks. Why You’ll Love It Here • Competitive Salary, • Hybrid working model, • 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 use data science to drive global growth and create meaningful business impact, apply now for this Data Scientist role and help power unforgettable experiences through insight and innovation. Unfortunately, due to the volume of applications, not all submissions will receive feedback

About Loop Horizon Loop Horizon is a boutique consultancy, providing expert advice and services to world leading brands to assist their transition to a data-driven marketing future. With specialists in Digital, Data & Analytics, MarTech and Marketing, we are predominantly ex-client side. Having delivered data-driven marketing before enables our clients to deliver more, faster and avoid missteps. Our success is built through enduring relationships with our clients by focussing on outcome-based deliverables. We focus on enabling clients with data and technology capability and supporting their internal teams through strategy, planning, delivery and adopting news ways of working. Our continued growth and client demand means we are looking for a capable early-career data scientist ready to make an immediate impact while developing their skills alongside an experienced team. Job Overview: We are seeking a driven Associate Data Scientist to join our growing team at Loop Horizon. This role suits someone with solid technical foundations who is eager to take on responsibility and learns quickly by doing. As an Associate Data Scientist, you will own analytical workstreams within client projects - building models, generating insights, and delivering data products that drive real business decisions. You'll work closely with a senior data scientist who will help shape your approach, provide guidance on technical and client challenges, and support your development. That said, we're looking for someone who is naturally curious and proactive - someone who enjoys figuring things out and takes ownership of their work. This is a fantastic opportunity for someone early in their career who wants to do meaningful, client-facing work and grow quickly through varied, hands-on experience. Responsibilities: • Own analytical workstreams within client engagements, delivering robust solutions with senior support as required, • Conduct exploratory analysis, identify patterns, and translate findings into actionable recommendations, • Develop and implement data products that address client business challenges – from core analytics to production ready ML solutions, • Communicate results clearly to non-technical stakeholders, both in writing and in person, • Tackle ambiguous problems with initiative, while knowing when to collaborate or escalate, • Keep pace with emerging tools and techniques - particularly in AI - and look for opportunities to apply them Skills and Qualifications: Required: • 2+ years of commercial experience in either data analytics, data science or machine learning, • A strong academic background in a STEM subject (e.g., Mathematics, Computer Science, Physics, Engineering etc) from a top University, • Fluent SQL skills alongside proficiency in Python for data manipulation, analysis and modelling, • Solid grasp of core machine learning techniques (e.g., regression, classification, clustering), when to apply them and how to evaluate results, • Strong communicator- able to explain technical work clearly to non-technical audiences Desirable • Experience with marketing data, digital behavioural data (Adobe Analytics/GA4) and marketing analytics use cases (e.g., segmentation, attribution, propensity modelling) is beneficial but not required, • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing technologies (e.g., Databricks, BigQuery, Redshift) is a big plus, • Comfortable using Git for versioning and collaboration Our Commitment to You: • Competitive salary, • 25 days holiday, plus an additional 3 days leave between Christmas and New Year, • Pension scheme and life assurance, • Private Healthcare for you (and your spouse/children at extra cost), • Flexible benefits scheme including electric car leasing scheme, cycle to work, gym discounts, discounted vouchers, • Shares in company after one years’ service, • Hybrid working - we believe in a balance between spending time face-to-face with colleagues and our clients, as well as enabling working from home, • Excellent opportunities to grow and develop, • Vibrant, friendly, dynamic team with calendar of regular social activities and team events Please note, only candidates with permanent right to work in the UK will be considered.

Company Description GOCAP is building a better kind of lender. We have created a salary-linked consumer loan designed to align repayments more closely with real affordability. It is a differentiated product, a genuinely interesting credit proposition, and we believe it has the potential to reshape part of the market. We are now entering an exciting growth phase. The business is live, performing strongly, and moving towards significant scale. As we grow, data science will sit at the heart of how we underwrite, price, monitor risk and improve performance. We are looking for a sharp, hands-on Data Scientist to help drive that forward. You will be expected to deliver quickly, iterate based on evidence, and continuously improve decisioning as new data becomes available. What you'll do · Build and improve models across credit risk, pricing and portfolio performance · Analyse originations, arrears, defaults, cures and customer behaviour · Support underwriting strategy with data-driven insights and segmentation · Work with bureau, open banking and manage internal data pipelines · Produce clear, decision-ready insights from imperfect data · Support and refine credit strategy through analysis and segmentation · Build monitoring and reporting that tracks real performance · Help strengthen model governance, validation and documentation · Work closely with risk, product and engineering to turn analysis into action What we're looking for · Experience in lending, fintech, banking or credit risk · Advanced Python and SQL skills · Strong analytical and statistical modelling skills · High ownership and attention to detail · Experience with underwriting, scorecards, pricing or portfolio analytics · Experience working with real-world datasets · Commercial judgement and clear communication Preferred · Familiarity with credit decisioning using bureau and open banking data · Experience in building Machine Learning models which convert into decision-ready outputs · Ability to work with unstructured and incomplete datasets · Self-motivated and solutions oriented, willing to challenge senior stakeholders. · Comfortable having your work challenged and defending your logic. · Bachelor’s or Master’s degree in Data Science, Statistics or a related field. We are not looking to outsources this role to external recruiters at this stage.

Senior SharePoint Developer Our prestigious US law firm client is seeking a highly skilled Senior SharePoint Developer with extensive experience migrating SharePoint 2016 on-premise solutions to modern SharePoint platforms. This permanent role, based in their stunning City offices, combines hands-on custom development, system maintenance, and intranet design. • Salary to £100,000, • Hybrid working – 4 days in the office / 1 day remote, • Free lunch every Wednesday, • £100 monthly employee contribution towards lunch or other expenses Senior SharePoint Developer Key Responsibilities: • Design, develop, and support custom solutions across SharePoint Subscription Edition (SE) and SharePoint Online, • Lead migration of SharePoint 2016 on-premise solutions to SE and Online, • Build SPFx web parts, extensions, and integrations using TypeScript, JavaScript, React, and REST APIs, • Manage updates, patches, and service packs to ensure stability, security, and compliance, • Administer service and web applications, site collections, permissions, authentication, and governance, • Provide technical leadership and mentor junior team members, • Collaborate with project managers, business analysts, and stakeholders to deliver solutions aligned to requirements, • Recommend improvements to development standards, governance, and platform architecture Senior SharePoint Developer Skills & Requirements: • Law firm experience highly advantageous, • Extensive experience developing and administering SharePoint Subscription Edition (SE) and SharePoint Online, including migration from SharePoint 2016 on-premise, • Strong expertise in SPFx development and modern front-end technologies (TypeScript, JavaScript, React, HTML5, CSS3), • Experience integrating SharePoint solutions using REST APIs, Microsoft Graph, C#, and .NET, • Hands-on management of on-prem SharePoint environments, including patching, upgrades, performance tuning, and troubleshooting, • Experience with Business Connectivity Services (BCS), External Content Types (ECTs), and SQL Server design and optimisation

Job Title: Data Engineering Manager Job Type: Full Time, Permanent Location: London, Hybrid (3 days in the office a week) Role Purpose At Travelex we are developing modern data technology and data products. Data is central to the way we define and sell our foreign currency exchange products. Our relationship with our customers is deeply data-driven. The data engineering manager (DEM) owns the design and delivery of all data flows to and from our data platform, underpinning crucial data products. The DEM is responsible for a significant transformation Travelex is going through, with event-driven and transactional enhancements to our enterprise data architecture, alongside expansion of our data warehousing function to support a wide range of data integrations. Main Responsibilities: Leadership & Strategy • Work with the Director of Data Engineering and IT Leadership to enhance the company's data maturity., • Maintain strong business alignment by engaging with leaders across domains and geographies., • Ensure data engineering initiatives match evolving business priorities., • Promote a product mindset, balancing technical efficiency with clear business value. Team Management • Lead the Data Engineering team, providing supervision, coaching, and professional development., • Work with the Data Delivery Manager to improve team productivity and velocity., • Oversee planning sessions, standups, retros, and team meetings., • Define and deliver technical goals & OKRs in collaboration with the teams. Technical Leadership • Own the architecture of the company's data platform, ensuring scalability, reliability, and security., • Drive modernisation by transitioning from legacy systems to a lean, scalable platform., • Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks., • Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards • Ensure all technical decisions are well-justified, documented, and aligned with business needs., • Lead reviews and approvals for Data Engineering, Data Science, and Data Visualization projects via data architecture review board., • Promote best practices in data governance, security, data protection, and risk management. Operational Excellence • Oversee monitoring of live data products and lead response to data incidents., • Drive improvements in data quality, working with data owners and managers., • Collaborate with engineering teams to ensure seamless system integration., • Advocate for reducing technical debt while balancing resource constraints. Innovation & Continuous Improvement • Stay updated with industry trends and recommend relevant technologies., • Lead analysis, assessment, and design activities, influencing key decisions., • Foster collaboration with data analysts and data scientists to develop impactful data products. Requirements – Skills and Experience To qualify for the DEM role, experience and skills from the list below are required. Essential: • Strong leadership: An inspirational leader, engaging team player, and curious listener., • Excellent problem-solving skills with experience in complex data products., • Expertise in data engineering and cloud engineering, including data ingestion, transformation, and storage., • Significant hands-on experience with AWS and its data services., • Expert-level skills in SQL, Python, DBT, Airflow and Redshift., • Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying., • Ability to guide and mentor others in technical best practices., • A product mindset, focusing on user needs when designing deliverables., • Experience in designing technology solutions with complex end-to-end data flows., • Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: • Experience with Databricks, • Understanding of how data platforms interact with marketing and customer engagement platforms., • Knowledge of service-oriented architecture, including exposing and consuming data via APIs, streams, and webhooks., • Good understanding of security and data protection best practices., • Familiarity with compliance and regulations, such as GDPR, PCI and FCA., • The flexibility to adjust your delivery approach to business needs, including mixing elements of Kanban, Scrum, Lean and our own custom practices., • The passion to stay up-to-date with the latest advancements in your field, exploring new tools and methodologies., • The curiosity to understand the business, its requirements and culture., • Your own unique style or way of working, which will make our team diverse and original. Why Travelex? To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on. Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of several digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce, and international payments. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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.

FIA Tech is the leading technology provider to the exchange traded derivatives industry. Owned by a consortium of thirteen leading clearing firms and the Futures Industry Association (FIA), FIA Tech is committed to serving the industry and launching innovative solutions to improve market infrastructure across the listed and cleared derivatives industry. FIA Tech works in close partnership with the broader industry, including exchanges, clearinghouses, clearing firms and other intermediaries, as well as independent software vendors, buyside firms and end users to bring efficiency to the exchange traded and cleared derivatives industry. Position Overview: We are seeking an experienced and skilled professional to join our Client Onboarding team. The Onboarding Manager will support the sales process in product overviews and demos, manage end-to-end client onboarding processes, collaborate with various stakeholders and provide feedback to enhance client experience across various FIA Tech Brokerage and Documentation products. The onboarding managers will also act as project manager, preparing project plans, coordinating teams and deliverables as well as preparing presentations and metrics to stakeholders. This role offers the opportunity to have a strong voice in the future design of our platforms, be the face of our organization, and contribute significantly to the continued success of our organization. The ideal candidate has a talent for relationship management, accepts the challenge that comes with leading successful implementation projects, and can troubleshoot and fix issues. Additionally, knowledge or experience with trading and clearing processes, specifically in the Block trading space, fee and commission management, and FIA Tech’s suite of products is preferred. Key Responsibilities: • Manage end-to-end client onboarding processes, ensuring a seamless and positive experience for new clients., • Collaborate with sales, account management, and technical teams to gather necessary information for onboarding., • Conduct demos and product overviews to introduce clients to products, services, and support channels., • Customize onboarding plans based on client needs and ensure timely execution of each step., • Propose and develop new ideas and innovative strategies for achieving goals and solving challenges, • Create detailed project plans and dashboards to track metric milestones and provide regular updates and presentations to key stakeholders., • Serve as the primary point of contact for clients during the onboarding phase, addressing inquiries and resolving issues promptly., • Provide training sessions to clients on platform usage, features, and best practices., • Work closely with cross-functional teams to identify areas for process improvement and implement enhancements to streamline onboarding procedures., • Maintain accurate and up-to-date client records and documentation., • Create and maintain comprehensive project plans and product enhancement documentation, • Monitor client satisfaction and gather feedback to enhance onboarding processes and overall client experience., • Collaborate with the sales team to identify upselling and cross-sell opportunities during the onboarding process., • Serve as the key liaison between client and internal FIA Tech stakeholders, • Support customer testing and operation of FIA Tech’s systems including creating and maintaining test plans, utilizing internal tools to document, track and close all customer incidents/questions, • Achieving excellent understanding of FIA Tech’s products, functionality, and workflows as well as external products that affect our industry Desired Attributes / Qualifications: • Bachelor's degree in finance, Economics, Business or related field, • Proven experience in onboarding, process implementation and project management roles, • Knowledge of brokerage, derivatives markets (Exchange Traded Derivative (ETD) is preferred, • Strong communication and interpersonal skills, • Strong analytical and problem-solving skills, • Technical skills, efficiency in excel, knowledge of SQL and visualization tools preferred, • Ability to work collaboratively in a fast-paced, dynamic environment, • Detail-oriented with excellent organizational and time-management abilities, • Excellent problem-solving and analytical skills, with a focus on data-driven decision-making, • Customer-centric mindset with a commitment to delivering exceptional service, • A willingness to adapt to evolving processes and technologies.

Senior Data Scientist London (Hybrid - 2-3 Days a Week on-site) £80,000 – £90,000 We’re partnering with a global software provider in the energy and utilities sector to hire a Senior Data Scientist to join a high-impact, innovation-focused internal team. This is a fantastic opportunity to work on cutting-edge and data initiatives, helping shape advanced analytics products used across the business. This is an ultra visible team who will be positioned at the forefront of real innovation. The Opportunity As a Senior Data Scientist, you’ll work at the intersection of data, AI, and product development, delivering actionable insights and building scalable models that power real-world applications. You’ll collaborate closely with engineering, product, and business stakeholders, playing a key role in both discovery and delivery of data-driven solutions. What You’ll Be Doing: Data & Insight • Analyse complex datasets to uncover trends, patterns, and business drivers, • Translate insights into clear, compelling narratives and visualisations, • Identify opportunities to apply AI across products and services Model Development • Design, build, and validate machine learning models, • Develop modelling inputs for AI pipelines and platforms, • Implement robust evaluation methods (A/B testing, causal analysis), • Ensure models are explainable, ethical, and production-ready Collaboration & Delivery • Work with data engineers to optimise data pipelines and quality, • Support deployment and monitoring of models in production, • Partner with stakeholders to embed data-driven decision-making What We’re Looking For: Essential: • Strong experience with Python, SQL, and data analysis, • Solid background in statistical modelling & machine learning, • Proven experience building and deploying models end-to-end, • Strong problem-solving mindset with a pragmatic approach, • PhD in degree in a relevant field (Data Science, Statistics, etc.) or commercial equivalent Nice to Have: • Experience with cloud platforms (AWS, Azure, GCP), • Familiarity with MLOps and production environments, • Exposure to energy, utilities, or telecoms data, • Ability to communicate technical concepts to non-technical stakeholders Interested? Apply now or message me directly to learn more — all conversations will be confidential.

Front‑End Web Developer (Angular) | Global Asset Management Firm | London / Hybrid Marks Sattin are partnered with a Global Asset Management firm as they continue to modernise their core digital platforms. They’re looking for an experienced Front‑End Web Developer to help build a modern Single Page Application using the latest version of Angular. This is an opportunity to work on a business‑critical web platform used at scale, contributing to clean, secure, and high‑performance front‑end architecture within a regulated asset management environment. What You’ll Do • Build and enhance a Single Page Application using the latest versions of Angular and TypeScript, • Design scalable, maintainable front‑end components aligned with enterprise standards, • Integrate front‑end applications with APIs and back‑end services, • Contribute to secure authentication and authorisation flows (e.g. OAuth 2.0), • Collaborate within Agile ceremonies to deliver high‑quality, production‑ready features What You’ll Bring • Strong front‑end engineering fundamentals with 3+ years’ web development experience, • Proficiency in Angular (v20+), TypeScript, HTML, and CSS, • Experience consuming and integrating REST APIs, • Familiarity with Git‑based source control and collaborative development workflows, • Experience working with Azure services, including Azure SQL and cloud‑hosted applications, • Exposure to Azure DevOps and modern CI/CD practices, • Strong written and verbal communication skills If you enjoy building robust, user‑focused front‑end applications and want to contribute to a modern platform within a global asset management environment, I’d love to tell you more. Please share your CV or get in touch for an initial conversation.

Our client, an institutional asset manager headquartered in London, is looking for an Investment Risk Analyst to join their team. The role is responsible for measuring, monitoring, and reporting investment risks across public and private markets funds, and combines risk reporting with model, data, and system enhancement. Responsibilities: • Deliver investment risk analysis and reporting across both public and private markets funds, • Measure and monitor market, liquidity, counterparty credit, leverage, and valuation risks, • Cover investment strategies including public equities, credit and fixed income, private credit, private equity, real estate, and infrastructure, • Maintain and enhance risk data, quantitative models, and reporting systems and workflows, • Produce risk reporting for committees, internal stakeholders, and regulators, • Implement and test enhanced risk and quantitative models, risk systems, and automated reporting Requirements: • Previous experience in investment risk, market risk, or quantitative analysis within asset management, wealth management, or private markets, • Degree in mathematics, economics, or finance-related quantitative discipline as preferred, • Strong quantitative skills; proficiency in Python and/or SQL; advanced Excel, • Familiarity with MSCI and/or Bloomberg is advantageous

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

Java Software Engineer with around 3-6 years professional, post-graduate experience sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff tenure. This hire will be part of a core Software Engineering team, responsible for the vast majority of all applications in the business from front-to-back office.This includes Order Management & Trading Execution, Risk & Finance, Straight-Through-Processing and Corporate Functions. The team deal directly with business users right across the firm, taking ownership of analysis, design, architecture, and implementation, working primarily with Java, but also with Python, SQL and to a lesser extent, MATLAB. They currently have an opening for a mid-level hire in the team, with around 4-6 years’ experience. The successful applicant should have exposure to modern software engineering techniques such as CI/CD as well as excellent Computer Science Fundamentals, OOP, Concurrency, and Java Generics. Excellent communication skills are also extremely important for the team, and a strong academic background in a numerate discipline, especially Computing / Computer Science, preferably from a leading University. This hire has been budgeted at a salary of £70-120K, plus excellent benefits and company pension contributions, along with a healthy annual bonus and an opportunity to participate in their Management Incentive Scheme. Applicants must be able to work onsite in Central London 3 or more days per week. This is an incredible opportunity to join a world-class firm and to forge a long-term career in a genuinely supportive and learning-focused working environment. Please apply below or contact for more information.

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.

Oil Trading Head of Data Strategy & Architecture – Dubai Based • Business: Asset Backed Commodity Trading Firm of Oil & Gas Major, • Location: Dubai, UAE, • Assistance: Relocation allowance + visa sponsorship + assistance in setting up UAE bank account etc, • Experience: 10 years+ physical oil trading experience working in senior data architecture, data engineering, or data strategy roles, • Salary: AED 65,000 PCM (GBP 155,000 per annum) TAX FREE + bonus + benefits Overview: The asset backed commodity trading business of a large Oil & Gas Major is hiring for an Oil Trading Head of Data Strategy & Architecture to join their HQ in DIFC in Dubai. This is a brand newly created position, reporting into the General Manager of the trading business and will be in charge of defining, implementing, and governing the data vision for a leading physical oil trading organization. This role oversees the design and operation of a scalable, secure, high‑quality data ecosystem supporting front, middle, and back-office functions—including trading, risk, operations, finance, compliance, and HR. The ideal candidate combines deep knowledge of physical oil markets, strong experience with ERP & ETRM systems, and a proven ability to build modern data platforms, cloud architectures, data governance frameworks, and efficient workflows for technical and non‑technical users. Key Responsibilities: Data Strategy & Governance • Develop and own the company’s enterprise data strategy, ensuring alignment with commercial, risk, and IT objectives. Data Architecture & Platform Ownership • Lead the design, implementation, and ongoing evolution of the KPCT central data platform., • Own the overall data infrastructure, ensuring reliability, scalability, and performance. Cloud Strategy & Engineering Leadership • Drive the company’s cloud data strategy, selecting and optimizing cloud technologies On‑Desk Enablement & Coding Frameworks • Create and support controlled frameworks for on‑desk coding (Python, SQL, analytics tooling, etc….), providing guardrails without limiting innovation., • Partner with Trading, Risk, and Analytics teams to streamline creation of pricing tools, forecasting models, optimization engines, and dashboards. Cross‑Functional Support Across the Trading Lifecycle • Support front office (Trading, Analytics, Research), middle office (Risk, Control) and back office (Operations, Finance, Accounting) ETRM Integration & Data Flow Management • Act as the strategic owner of data flows into and out of ERP & ETRM systems (e.g., Endur, Allegro, Aspect, RightAngle etc). Leadership & Stakeholder Management • Lead implementation by network of Data/Digital representatives within each business department to accept and assimilate new technologies., • Serve as the bridge between business teams and technology teams, translating commercial needs into scalable solutions., • Communicate data strategy, KPIs, risks, and progress clearly to executive leadership. Required Experience & Qualifications • Strong understanding of physical oil trading, supply chains, market data, pricing, and operations experience gained working for a major global oil trading business (ideally oil major)., • It is essential that you have worked for a major global oil trading business, in a major global oil trading hub (London, Houston, Geneva, Singapore etc), instead of for a smaller remote office, • 10+ years in data architecture, data engineering, or data strategy roles., • Hands‑on familiarity with major ETRM systems (e.g., Endur, Allegro, Aspect, RightAngle)., • Practical coding knowledge: Python, SQL, version control (Git), and workflow orchestration tools., • Experience implementing and scaling cloud‑native data platforms (Azure/AWS/GCP)., • Strong knowledge of streaming, APIs, data modeling, and integration frameworks. Leadership & Strategic Capabilities • Proven ability to define data strategy at enterprise scale., • Experience managing and mentoring diverse technical teams., • Excellent stakeholder management across Trading, Risk, Finance, IT, and senior leadership., • Strong architectural thinking and ability to design future‑proof systems For more information, please e-mail through an up-to-date copy of your CV to Ben at

Taktile is transforming how financial institutions leverage AI for critical decisions. As we scale our enterprise customer base, we're looking for an Applied AI Engagement Manager to serve as the strategic partner who ensures our customers successfully implement and unlock maximum value from AI-driven decision-making. In this post-sale role, you'll be the primary point of contact guiding enterprise customers through complex implementations and driving sustained business impact. That's where you come in. As an Applied AI Engagement Manager at Taktile, you’ll work closely with our enterprise customers to implement complex solutions and ensure they unlock maximum value from our platform. This role is central to our mission of transforming customers' decisioning infrastructure to optimize and automate mission-critical business decisions. You’ll collaborate across Taktile’s Solutions, Product, and Sales teams, as well as with external partners, to support customers throughout their entire lifecycle, driving strategic outcomes and sustained impact. About You • Curious & Creative – You love uncovering innovative ways to solve customer challenges and enjoy diving into the technical and business implications for both the customer and the Taktile platform., • Clear Communicator – You have excellent communication and stakeholder management skills, and are effective across all levels of an organization., • Entrepreneurial – You’re hands-on, proactive, and excited to help shape both the product and the company. You go the extra mile to deliver exceptional solutions., • Team Player - You enjoy working cross-functionally with teams across Marketing, Sales, Solutions, Support, Product, Engineering, and Customer Success., • Experienced - You have 4-6 years of experience in tech consulting, tech implementation or customer-facing roles at high-growth startups or enterprises in B2B SaaS and demonstrated team leadership in various situations, • Organized – You’re comfortable managing multiple projects, timelines, and stakeholder expectations, even in ambiguous and fast-changing environments., • Technically Fluent – You have a technical foundation and can clearly communicate technical challenges and solutions to both engineers and customers, especially in the context of applied AI., • Mobile – Willingness to travel up to 40% of the time. What You’ll Do • You will act as the strategic partner and primary point of contact for enterprise customers post-sale and coordinate cross-functional teams (Product, Engineering, Solutions, Data) to deliver high-impact projects on time, • You translate complex business problems into workflows and product configurations and become a subject-matter expert in the Taktile platform and the business value it can unlock for our customers, • You will closely collaborate with Taktile’s Account Executive and Solution Engineers to build strong relationships with executive level stakeholders as well as Taktile’s core users within customer teams, • Identify new opportunities for product expansion and adoption within customer accounts and continuously gather feedback and insights to inform product development and iterate on delivery playbooks with our product and engineering teams Ideal, But Not Required • You have experience in implementing AI at scale in enterprise context, • You have acquired domain expertise in the financial services industry (banking, insurance, lending, payments, etc.), • You demonstrate strong analytical skills and have a hands-on mentality, • You have knowledge of APIs and know the basics of Python and SQL Our Offer • Work on hard, meaningful problems with real-world impact., • Receive top-of-market equity and cash compensation., • Get access to a self-development budget that you can use to e.g. attend conferences, buy books or take classes., • Join us onsite in our inspiring office spaces in the heart of Berlin, London or New York and travel to bi-yearly company-wide meetings around the world., • Shape how enterprise SaaS is delivered at scale., • Experience a truly flat hierarchy. Interact with and learn directly from founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo., • Use the equipment of your choice including a meaningful home office set-up. About Us Taktile helps financial institutions make smarter, safer decisions with the power of AI. Our software gives teams the tools to automate complex decisions — like who to onboard, how to underwrite, or when to flag suspicious activity — with full visibility and control. By combining AI with a rich ecosystem of financial data, Taktile enables companies to adapt their decision-making in real time as markets, customer behavior, and risks evolve. Our mission is to build the world’s leading platform for automated decision-making in financial services — setting the standard for how AI is applied responsibly and effectively in this industry. We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together engineers, entrepreneurs, and researchers from companies like Google, Amazon, and Meta, as well as fast-growing startups and enterprise leaders. Backed by top investors including Y Combinator, Index Ventures, Balderton Capital, and Tiger Global, along with the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath - we’re building a world-class organization across all functions and levels to power the next generation of AI-driven decision-making in financial services.

Senior Data Engineer (Contract) £600/day (Inside IR35) | 6 Months | Hybrid (London, 2 days per week) We’re working with a global organisation looking for a Senior Data Engineer to support the build and evolution of their enterprise data platform. This Senior Data Engineer role is ideal for someone who enjoys delivering scalable data solutions across a modern stack. Tech Stack • SQL, Snowflake, dbt, Azure DevOps (or similar), Cloud (Azure preferred, open to AWS/GCP) What You’ll Be Doing • Designing and building data pipelines and warehouse solutions as a Senior Data Engineer, • Developing and transforming data using dbt and Snowflake, • Partnering with stakeholders to deliver data solutions, • Improving data quality, performance, and platform reliability What We’re Looking For • Strong experience as a Senior Data Engineer, • Extensive dbt and Snowflake experience, • Advanced SQL skills, • Cloud experience, • Strong data modelling and warehousing knowledge Nice to Have • Power BI or Tableau, Fivetran/Matillion, SAP This is a high-impact Senior Data Engineer role within a growing data team, offering the opportunity for a Senior Data Engineer to help shape a modern data platform. Apply below, message me directly, or email

Working for an industry leading, high-growth marketplace scale-up, the Lead Data Analyst will work with department heads and C-Level, owning data collection, visualisation and insight generation, influencing key decision making across the business. The Lead Data Analyst will be responsible for: • Data strategy and leadership, • Working with teams and senior leaders across the business to drive business growth, • Partnering with product, marketing and commercial teams to generate and operationalise insights, • Data collection, management and visualisation, • Using AI to scale impact The Lead Data Analyst will have: • A proven track record as an experienced, commercial Senior Analyst at a consumer focused (b2c) business - marketplace would be ideal, but not essential, • Ability to work confidently with large, complex datasets and translate them into clear, actionable insights, • Ideally worked with a variety of teams e.g. performance marketing, digital product, trading, commercial, ecommerce, etc., • Excellent communication and stakeholder management skills – used to dealing with senior business leaders, • Strong SQL, • Experience working with modern data stacks (e.g. Snowflake, dbt, Heap, Tableau/Looker, etc.), • Candidates could come from any consumer sector such as retail, ecommerce, travel, media, etc. This is a great opportunity for a talented Lead Analyst who wants real ownership, a seat at the table from day one, and the chance to shape how a profitable, scaling marketplace makes its biggest decisions. Lead Data Analyst £70-85k + stock options + benefits London / hybrid (2 days in office)

Job Title: Data Integration Engineer VP Level Location: London, Hybrid Contract: 6 Months Day Rate: £600-£700 PWD via Umbrella IR35 Status: Inside IR35 Overview We are working with a leading global financial services organisation seeking an experienced Data Integration Engineer to join their London based team. This is a hands on role focused on delivering high quality data solutions within a regulatory driven environment. Key Responsibilities Design develop and maintain data integration pipelines Work extensively with ETL tools DataStage (required) Develop and optimise SQL queries PL SQL T SQL Perform data modelling and transformation Build and manage data marts Ensure data quality governance and compliance standards Support regulatory reporting requirements Required Skills and Experience Strong hands on experience with DataStage (must have) Solid experience with Oracle and SQL Server databases Advanced SQL skills PL SQL T SQL Proven experience in ETL and data integration Experience within banking or financial services ideally regulatory reporting Strong understanding of data quality and governance Nice to Have Exposure to Azure Databricks Experience with middleware tools Kafka MQ IIB Knowledge of AQR ECB reporting Personal Skills Strong analytical and problem solving ability Excellent communication skills with both technical and non technical stakeholders Ability to work collaboratively in a team environment We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon/Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

SC & DV Cleared Senior Data Consultants and Analysts – London – Up to £70,000+ per annum Are you a data-driven professional with a passion for delivering impactful solutions? Do you excel in translating complex data challenges into actionable insights? If so, Morela has an exciting opportunity for you. Morela is proud to partner with one of the UK's leading data consultancies, renowned for their innovative approach to data integration and analytics. As they continue to expand, they're seeking a skilled SC & DV Cleared Senior Data Consultant and Analysts to join their dynamic team. This role is perfect for someone who combines technical expertise with a consultative mindset, aiming to drive value across diverse projects. You'll be part of a forward-thinking consultancy that operates at the intersection of advanced technology and real-world impact. Serving both public and private sectors, their services encompass strategic advisory, digital transformation, and end-to-end data engineering. As a SC & DV Cleared Senior Data Consultant or Analyst, you'll play a crucial role in designing and implementing data solutions that empower clients to make informed decisions. Core Responsibilities • Data Integration: Connect and harmonise data from multiple sources, ensuring clean, reliable, and compliant data pipelines., • Data Modelling: Design and manage data models to create logical data structures that enhance accessibility and usability., • Application Development: Build full-stack applications using tools such as Python, SQL, and relevant frameworks, delivering intuitive user interfaces and interactive workflows., • Data Governance: Implement data lineage tracking and access controls to uphold compliance with organisational and regulatory standards., • Client Collaboration: Engage with clients to understand their needs, provide training sessions, and promote best practices for effective adoption and utilisation of data platforms., • Continuous Improvement: Contribute to internal capability building by improving frameworks, delivery processes, and team development across the consultancy. What We’re Looking For • SC, DV or eDV Cleared: In this position, you will already be security cleared to one of those levels., • Technical Expertise: Proven experience in data engineering, software development, or systems integration, preferably within AI, analytics, or enterprise platforms., • Problem-Solving Skills: Strong analytical abilities with a knack for troubleshooting and optimising complex data workflows., • Communication Skills: Excellent ability to engage with both technical and non-technical stakeholders, providing clear and confident guidance., • Adaptability: Comfortable working across various sectors and with diverse clients, adjusting approaches as needed., • Travel Readiness: Open to occasional travel (up to 25%) depending on project requirements., • Palantir Foundry experience is an added bonus! As a SC or DV Cleared Senior Data Consultant or Analyst, you’ll lead the charge on some of the most complex, high-impact data programmes in the UK, helping clients unlock the power of their data while mentoring the next generation of engineering talent. Please do not hesitate to reply and reach out to Morela today to find out more!

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

JOB DESCRIPTION POSITION: Senior Pricing Analyst ASSIGNMENT NO: 29570 LOCATION: London/ Hybrid A bit about the role They're looking for a Senior Pricing Analyst to join their Pricing Team. This is an exciting opportunity and you will play a crucial role in developing and optimising pricing strategies that enhance their competitive edge, whilst ensuring profitability. You will analyse market trends, customer data and competitor pricing to inform decision-making and contribute to their overall business strategy. As Senior Pricing Analyst, your responsibilities will be… • Pricing Strategy Development: Assist in the creation and implementation of pricing models and strategies for personal lines insurance products, • Data Analysis: Analyse large datasets to identify trends, customer behaviour, and pricing opportunities using GLM (Generalized Linear Models), • Software Utilization: Utilize tools such as Emblem and Radar (Live) to develop, test, and refine pricing algorithms and models, • Market Research: Conduct competitive analysis to understand market positioning and identify areas for improvement, • Reporting: Prepare and present regular reports on pricing performance, market trends, and recommendations to senior management, • Collaboration: Work closely with underwriting, marketing, and product teams to ensure pricing strategies align with business objectives, • Forecasting: Support the forecasting process by analysing historical data and projecting future pricing trends, • An excellent communicator, with the ability to present complex data in a clear and concise manner, • A Bachelor’s degree in Finance, Economics, Mathematics, or a related field, • Experience in a pricing, analytics or financial role, preferably in the insurance, • Proficiency in using GLM techniques and experience with pricing software, particularly Emblem and Radar Live, • Knowledge of pricing strategies and market dynamics in the personal lines insurance sector

Newmark RF is part of the global Newmark professional services firm, wholly focused on the real estate industry. We operate globally with clients and offices in North America, Europe, India, and Asia-Pacific. Newmark RF provides Management Consulting and Managed Services to Institutional Investors, Investment Managers, Developers, Owner/Operators, Service Providers, and Corporate Occupiers. Management Consulting: Our Management Consulting professionals identify critical areas for improvement and then design and implement solutions around strategy, operational innovation, finance transformation, performance measurement and technology within a project environment. Managed Services: Our Managed Services professionals bring deep industry knowledge and technology skills to augment or supplant real estate-oriented business functions including Accounting (Property, Corporate and Fund) and Lease (abstraction, accounting and management), Data (structuring, validation, movement and management), Automation (repeatable tasks, data movement and report generation) and Application Support (Yardi, MRI, RealPage, etc.). We are seeking a professional to join our Management Consulting team at Lead Analyst to Senior Consultant grade. The role involves advising clients across industry sectors on a broad range of operational real estate and transformation‑led assignments, supporting organisations that occupy, operate and manage property portfolios. The position offers the opportunity to further develop your consulting capability and grow your career, building on your existing professional or industry experience, while working alongside senior practitioners on strategic, operational and technology‑enabled real estate change programmes. Responsibilities: The role of a management consultant is varied. Typical activities, undertaken as part of a team, include: • Carrying out strategic and / or technology diagnostic assessment of clients’ real estate operating platforms, • Developing Real Estate-related strategic initiatives at organisational, operational and IT levels, • Defining and gathering requirements for, and supporting the selection of, Real Estate software solutions, • Planning and implementing software solutions, together with the associated business process changes. Job Functions • Work with recognised Real Estate corporate functions, Real Estate Investments Trusts, Institutional Investors, Owner/Occupiers, etc. in varying industry segments including office, retail, residential (all sub-sectors) and industrial/logistics., • Undertake diagnostic analyses from a Real Estate operational process and IT effectiveness viewpoint., • Perform Real Estate-related strategic planning at organisational, operational and IT levels., • Suggest and implement Real Estate-related leading practices and process improvements., • Define Real Estate requirements for software solutions., • Implement Real Estate software solutions and associated process changes. Desirable • Strong analytical and problem-solving skills, • Excellent communication, presentation and report writing skills, • Proven ability to build and maintain strong client relationships, • Project management and stakeholder engagement experience, • Experience in some or all the following areas:, • Real Estate industry and/or consulting experience., • Operational experience in investment management; residential or commercial, • Experience working with real estate ERP system(s) such as Yardi or MRI, • Experience in property or fund accounting, • Advanced analytical capabilities such as Power Query and SQL, • Bachelor- or Master-level qualifications in a relevant discipline from a recognised academic institution (ideally 2:1 or above), • Must be open to some travel (to be discussed during the interview process), • Must possess effective communication skills (both written and verbal), • Capabilities in the Microsoft Toolset (Word, Excel, PowerPoint, Power BI), • Strong analytical and problem-solving skills., • Excellent communication, presentation, and report writing skills., • Proven ability to build and maintain strong client relationships., • Project management and stakeholder engagement experience.

Senior Analyst London - hybrid - 3x a week Up to £60,000 This is a high impact senior individual contributor role where you will take ownership of some of the most critical commercial metrics in a large, digital first organisation. You will play a central role in shaping how customer value and revenue performance are measured, trusted and used to drive growth across marketing and reader revenue. The Company They are a well-established, purpose-led digital publisher with a global audience and a strong focus on reader-sponsored revenue. Operating at a significant scale, they combine subscription and contribution models with advertising to fund high quality journalism. Their data function plays a critical role in supporting sustainable growth and long term customer relationships. The Role • Own and continuously improve lifetime value (LTV) and core revenue metrics across multiple products and customer journeys., • Enhance and maintain analytical data models, ensuring reliability, performance and scalability as products and revenue streams evolve., • Take ownership of key marketing and revenue dashboards, ensuring stakeholders can trust and act on the insights., • Support experimentation and A/B testing, providing analytical input for strategic, non BAU initiatives., • Partner with stakeholders across marketing, product and strategy to interpret performance, explain drivers and guide decision making., • Contribute to strategic insight projects including customer segmentation, contact base analysis and business planning. Your Skills and Experience • Strong commercial experience operating as a senior analyst in a fast paced, data rich environment., • Proven ownership of lifetime value (LTV) modelling and closely related metrics such as revenue attribution and experimentation analysis., • Advanced SQL skills with experience using Python for analysis., • Experience working with BI tools such as Power BI or Tableau., • Exposure to modern analytics engineering tools such as dbt is beneficial, but not essential., • Comfortable working independently, prioritising work and managing complex analytical problems. What They Offer • A senior, visible role with genuine ownership of business critical metrics., • The opportunity to influence strategy and revenue growth in a purpose driven organisation. How to Apply Apply now to find out more about this senior analytics opportunity and how it could be the next step in your career.

Senior Data Engineer London Permanent – Hybrid Up to £140,000 A top tier trading environment where data drives real money decisions is hiring for a Senior Data Engineer. Engineers have trust, ownership, and real influence here working in a fast paced and performance led environment What you’ll have the Opportunity to do: As a Senior Data Engineer, you will have the following responsibilities: • Build and maintain data solutions that support pricing decisions, • Work hands on with SQL, Postgres, and Python, • Take ownership of data quality, performance, and reliability, • Partner closely with commercial teams on business critical problems, • Influence technical direction as the platform evolves, • Get exposure to AI initiatives with learning and development support About the Candidate The right Senior Data Engineer should have: • Strong experience with SQL, Postgres, and Python, • Background working with pricing or market driven data (commodities preferred), • Highly technical and comfortable owning complex data problems, • Confident working close to the business and explaining technical decisions, • Either experienced leading technically, or showing clear potential to step into leadership, • Curious, driven, and keen to keep learning — particularly around AI and emerging tech Nice to Have • Experience coaching or mentoring junior engineers and sharing knowledge, • Exposure to commodities, pricing, or financial market data, • Comfortable working closely with traders or commercial teams, • Familiarity with cloud platforms or modern data infrastructure, • Interest in AI, machine learning, or advanced analytics What’s in it for you? • Salary from £120,000-£140,000 + Bonus, • Hybrid Working Pattern, • Up to 33 days annual leave with UK Bank holidays included, • Extensive Benefits Package, • Continuous Training and progression opportunities provided To hear more about the Senior Data Engineer role contact Daire McIlhatton at

About the Company We’re representing a fast-growing tech business building a platform that helps hospitality companies manage and distribute operational data across multiple systems and third-party services. Following recent funding and strong traction, they’re scaling their engineering team and hiring a Principal Engineer. The Role This is a hands-on senior IC role with a strong backend focus. You’ll be writing production code daily, shaping technical decisions, and supporting other engineers as the team continues to grow. You’ll have real influence over architecture and how the platform evolves. Tech • TypeScript across the stack, • Expert at Node.js, • Serverless backend on a major cloud provider, • Relational database (SQL) They’re looking for someone backend-leaning but comfortable working across the stack. What You’ll Do • Build scalable, high-quality systems, • Improve performance, reliability, and development workflows, • Contribute to technical roadmap and architecture, • Mentor engineers and support hiring What They’re Looking For • Strong TypeScript and backend engineering experience, • Solid understanding of system design and databases, • Cloud experience (ideally serverless), • Track record of delivering complex projects, • Collaborative and clear communicator Package • Salary around £110k (Slight Flexibility), • Hybrid: 2 days/week in Central London

Business Intelligence Analyst London – 4 days in the office Up to £60,000 A genuinely strong opportunity to join a scaling digital lender where data drives credit and product decisions. You’ll sit close to credit strategy, working on analysis that directly influences lending outcomes and commercial performance. The Company: High-growth UK financial services business building modern lending products for homeowners. They’re investing heavily across credit, data and technology as they scale. The Role and Responsibilities: You’ll partner with credit risk, product, data and engineering to support credit strategy and portfolio performance. Core focus areas: • Pulling, structuring and validating data from internal and third-party sources, • Building dashboards and automated reporting to monitor portfolio performance, • Analysing customer behaviour and credit decision outcomes, • Translating analysis into clear recommendations for non-technical stakeholders, • Supporting testing and monitoring of new credit strategies and decisioning logic, • Maintaining strong data governance and accuracy standards Your Skills and Experience: • Strong experience in BI or analytics, ideally within lending, banking, finance or a start-up environment, • Advanced SQL skills, • Experience with tools like Power BI, Tableau or Looker, • Clear communicator who can influence beyond the data team, • Commercial mindset with curiosity and ownership, • Comfortable in a scaling, fast-moving environment

Power the Core of Fintech Innovation: Senior Back-End Developer at Kodelab At Kodelab, we are shaping the future of fintech, blockchain, and AI-powered solutions. Our back-end infrastructure is the backbone of our success, powering everything from secure financial transactions to AI-driven platforms and Web3 integrations. We are looking for a Back-End Developer who can build and maintain scalable, high-performance systems that keep our fintech ecosystem running seamlessly. This role is critical and sensitive to our operations, requiring a developer who is highly available, reliable, and proactive in maintaining system integrity. What You’ll Do • Develop & Maintain Scalable Back-End Systems – Build and optimize microservices and APIs that support high-traffic fintech applications., • Ensure Security & Reliability – Implement secure authentication, encryption, and data integrity measuresfor fintech and blockchain solutions., • Optimize Performance & Scalability – Design database structures and caching mechanisms that ensure low-latency and high availability., • Integrate AI & Blockchain Solutions – Work closely with AI and Web3 teams to power machine learning models, smart contracts, and tokenized assets., • Collaborate with Front-End & DevOps Teams – Ensure seamless API integrations, CI/CD deployments, and overall system reliability., • Maintain High Availability – Proactively monitor and troubleshoot issues, ensuring zero downtime for mission-critical applications., • Contribute to Technical Strategy – Stay ahead of fintech trends and recommend best practices for system architecture and security. What You Bring • 3+ Years of Back-End Development Experience – Strong background in high-availability, performance-driven systems., • Proficiency in Node.js (or Python/Go) – Experience with backend frameworks such as Nest.js, Express.js, or FastAPI., • Database Mastery – Strong SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) expertise., • API Development & Security – Experience in building RESTful & GraphQL APIs, JWT authentication, OAuth, and cryptographic security., • Scalability & Optimization Skills – Ability to optimize database queries, caching strategies, and event-driven architectures (Kafka, RabbitMQ)., • Cloud & DevOps Experience (Bonus) – Familiarity with AWS, Docker, Kubernetes, and CI/CD pipelines., • Web3 & AI Integration (Bonus) – Understanding of blockchain APIs, smart contract interactions, and AI model deployment., • Problem-Solver & Critical Thinker – Ability to anticipate system challenges and proactively build robust solutions., • Commitment to Availability & Resilience – This role is business-critical, requiring a high level of accountability and responsiveness. Why Kodelab? • Work on high-impact fintech, AI, and blockchain projects with cutting-edge technology., • Be part of a dynamic, fast-moving startup where your contributions directly shape the company’s success., • A collaborative and ambitious team that values technical excellence and innovation., • Flexible work environment with opportunities for growth and leadership. If you’re a highly skilled back-end developer looking for a critical role in a fast-paced fintech environment, apply now and power the future of fintech at Kodelab!

Client Reporting Analyst | Investment Management | London A leading global asset manager is looking to hire a Client Reporting Analyst to join its Investment Reporting team in London. This is a high-impact role supporting institutional clients and working closely with investment and distribution teams to deliver best-in-class reporting and client materials. Key responsibilities & duties: • Produce high-quality investment reports, client presentations, and marketing materials with a strong focus on accuracy and timeliness, • Manage end-to-end reporting processes, ensuring smooth delivery and prioritisation across stakeholders, • Enhance reporting content to improve clarity, insight, and visual storytelling, • Partner with Sales and Investment teams to support client meetings and ongoing reporting needs, • Contribute to system and data migrations (including reporting platforms and data infrastructure), • Drive continuous improvement through automation, standardisation, and innovation The role requires: • Degree in Finance, Economics, Mathematics, or similar, • Experience in investment or client reporting within asset management (Fixed Income & Multi-Asset preferred), • Strong analytical skills and attention to detail, • Advanced Excel, PowerPoint, and SQL, • Experience with tools such as reporting platforms, data warehouses, or visualisation tools (e.g. Tableau) is beneficial, • Interest in technology, automation, and AI-driven reporting solutions (Python a plus), • Ability to translate complex data into clear, client-friendly outputs Why Apply? • Join a collaborative, high-performing investment environment, • Work on innovative reporting solutions and technology transformation projects, • Gain exposure to institutional clients and front-office stakeholders

Power BI Developer Department: Web & Data Salary: £45,000 - £50,000 Location: Euston / Hybrid Hours: Monday to Friday, 9am - 5pm Role Purpose To support the delivery of high quality Power BI reporting across the group by building dashboards, reports, semantic models and measures, and by contributing to a consistent and trusted reporting layer. The role will focus primarily on Power BI development, with supporting SQL work where required. The successful candidate will be expected to develop their skills over time and follow best practice guidance from the Analytics Engineer (Power BI lead) and Senior Data Engineer. Main Responsibilities Stakeholder engagement and delivery Work with stakeholders across the business to define, scope and deliver new reporting functionality in Power BI by translating business questions into clear reporting requirements, including KPIs, definitions and expected outputs Manage reporting requests through a structured delivery lifecycle, including development, testing and release Power BI semantic model ownership • Support the maintenance and enhancement of the underlying semantic models in Power BI, including developing and maintaining DAX measures in line with agreed business definitions, • Ensure semantic models are well structured, reusable and high performing, supporting both dashboards and self-service reporting, • Support the Analytics Engineer in maintaining consistent reporting standards across the group Reporting layer within the data warehouse • Support the development and maintenance of the reporting layer within the data warehouse, primarily through SQL views and reporting tables, • Work closely with data engineering to ensure warehouse outputs are fit for reporting and aligned to dimensional modelling principles, • Support investigation of data quality issues and ensure reporting outputs reconcile to source systems where required, • Identify opportunities to improve reporting performance by optimising SQL logic and semantic model design Skills and Experience (Essential) • Strong experience with Microsoft Power BI, including DAX, • Experience working with Power BI Service including publishing, workspaces and scheduled refresh, • Strong Microsoft T-SQL skills, including views and stored procedures, Common Table Expressions and window functions, • Basic understanding of data modelling principles including facts, dimensions and star schema Skills and Experience (Desirable) • Experience working with Azure Synapse, • Experience using Power Query and M, • Understanding of performance tuning in Power BI datasets and reports, • Experience working with Git and structured release processes

Application Support Analyst - £85,000 per annum - PowerShell The role of the Application Support Analyst centres on delivering both technical and procedural assistance to internal teams and external stakeholders. Acting as a key point of contact for issue resolution, the analyst will manage incidents, troubleshoot day-to-day application problems, and ensure swift resolution of outages. This position involves close collaboration with infrastructure, service desk, and broader IT teams, requiring a proactive mindset and a strong sense of ownership across all support-related responsibilities. This role will be working within the Front Office Teams and would requires someone with experience on Trading Platforms and preference to candidates with exposure to FIX Connectivity. • Proficient in Windows and Linux/Unix environments with solid understanding of SQL, Oracle databases, and server-side infrastructure, including platforms like ION, IBM MQ, Deltix, TT, and ATEO., • Background in financial services (preferably banking), with insight into trading, clearing, and settlement processes across futures, OTC energy, and global markets., • Excellent communicator with strong documentation and stakeholder management skills; capable of building relationships across development teams, business users, and external vendors., • Highly methodical with experience in ITIL frameworks, change management, and a focus on continuously improving systems and processes., • Skilled in API onboarding, FIX messaging, market connectivity protocols, and supporting high-frequency trading platforms; able to work shifts and manage critical upgrades., • Prior experience supporting clients in a technical advisory role, with an understanding of compliance, risk, and regulated environments., • Strong PowerShell experience is a must! If you are interested in the above role please come back to me asap with an updated CV or contact number. Application Support Analyst - £85,000 per annum - PowerShell

Software Engineer Tech Stack: C#, .NET, Python, AI Development, SQL, Azure London - Onsite Salary Range: £50,000 - £90,000 Harrington Starr has partnered with a boutique Investment Bank, with decades of experience and exceptional performance. They are currently seeking to hire a Polyglot Engineer possessing strong experience developing front office applications and systems, written in C# and Python. If you have a deep interest working with modern technologies, building reliable business applications this could be the role for you. Responsibilities: • Design and develop new front office application utilising C#, .NET, Python, • Working on internal systems to maintain quality and standards, • Utilising historical data for analytics, automation and strategic decision making, • Integration of modern technologies and use of AI, • Daily interaction to quickly solve any issues for front office Benefits: • The ability to convert essential business needs and support front office functions, • Excellent base salary up to £90,000 based on experience and domain knowledge, • Exceptional bonus and benefits (health and dental care, life insurance), • Working flexibility Key Requirements: • BSc Computer Science or related Mathematical degree, • Excellent knowledge and experience developing with C#, .NET, Python, • Good experience developing front office systems, interacting with various stakeholders, • Excellent communication, • Strong commercial development experience with AI technologies, • Un-restricted right to work in the UK If you would like to book in a confidential phone call to discuss this opportunity in further detail, please apply below or send through a copy of your up-to-date CV via email to

Novatus Global is a Series B scale-up RegTech SaaS provider and boutique advisory firm, helping financial institutions manage their most complex regulatory requirements. We combine deep consulting expertise with cutting-edge SaaS solutions, enabling clients to strengthen compliance, enhance resilience, and drive sustainable growth. Our flagship SaaS platform, En:ACT (short for Ensuring Accurate, Complete and Timely reporting), is a market-leading solution for regulatory transaction reporting and reconciliation across global regimes. En:ACT automates reporting, reconciles data across systems, and maps errors directly to regulatory rules, helping firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 45 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services across Risk & Compliance (including Transaction Reporting and Operational Resilience), ESG, Strategy, Data, and Operations. We embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow with the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of regulatory compliance through innovation in both advisory and technology. Our growth plans do not stop here; we are on the lookout for top-tier talent to join us on our journey and enable our next phase of success. Job Overview: The Analyst will support the delivery of regulatory reporting services for clients across global financial markets. The role focuses on assisting with transaction reporting advisory, remediation programmes, back-reporting of transactions, and execution of Business-as-Usual reporting activities under regulatory regimes such as MiFID II Transaction Reporting, EMIR (European Market Infrastructure Regulation), and SFTR (Securities Financing Transactions Regulation). This role is suitable for recent graduates or early-career professionals looking to build experience in financial markets, regulatory reporting, and data analysis within a fast-growing RegTech environment. Working as part of a team, the Analyst will contribute to projects that help clients identify reporting gaps, remediate historical data issues, support ongoing reporting operations, and ensure continued compliance with regulatory obligations. Key Responsibilities BAU Regulatory Reporting Operations • Support the execution of daily BAU regulatory reporting processes across reporting regimes including MiFID II, EMIR, and SFTR., • Assist with the monitoring, validation, and reconciliation of transaction reports submitted to regulators, Approved Reporting Mechanisms (ARMs), Trade Repositories (TRs), or other reporting infrastructures., • Investigate and resolve reporting exceptions, validation errors, and rejected reports., • Ensure regulatory reporting obligations are met within required reporting timelines and service level agreements., • Maintain accurate documentation of BAU processes and operational procedures. Transaction Reporting & Regulatory Reporting Support • Assist in analysing client transaction and position data to identify reporting gaps, errors, and inconsistencies., • Support the preparation and submission of regulatory reports under MiFID II, EMIR, and SFTR., • Participate in back-reporting exercises and remediation programmes to correct historical reporting inaccuracies., • Validate trade and reference data fields against regulatory reporting requirements., • Support reconciliation activities between internal systems, trade repositories, and regulatory reporting outputs. Regulatory Advisory Support • Assist senior team members in delivering advisory support to clients regarding transaction reporting and regulatory reporting obligations., • Conduct research on regulatory requirements across regimes such as MiFID II, EMIR, and SFTR., • Support the preparation of regulatory documentation, client reports, and remediation plans., • Assist in documenting regulatory interpretations, reporting procedures, and operating models. Data Analysis & Quality Assurance • Perform data reconciliation between front office systems, middle office systems, and regulatory reporting outputs., • Conduct root cause analysis on reporting errors and data quality issues., • Assist in implementing data quality controls and validation processes to improve reporting accuracy., • Support data mapping and field validation exercises across regulatory reporting datasets. Client Delivery • Work collaboratively with team members to deliver client engagements within agreed timelines., • Support preparation of client reports, findings, and remediation recommendations., • Participate in client meetings, workshops, and project discussions when required. Operational & Team Support • Maintain documentation of processes, methodologies, and project deliverables., • Contribute to internal knowledge sharing and continuous improvement initiatives., • Support the development and enhancement of internal reporting tools, controls, and processes. About You: • Bachelor’s degree (or equivalent) in Finance, Economics, Mathematics, Business, Data Analytics, Computer Science, or a related discipline. Technical Skills Required • Basic understanding of financial markets and the trade lifecycle., • Strong analytical and data interpretation skills., • Proficiency in Microsoft Excel (data analysis, formulas, pivot tables)., • Familiarity with SQL, Python, or other data analysis tools is advantageous. Soft Skills Required • Strong attention to detail and accuracy., • Analytical and problem-solving mindset., • Good written and verbal communication skills., • Ability to work effectively in a collaborative team environment., • Strong organisational skills and ability to manage multiple tasks and deadlines. Desirable Experience • Awareness of regulatory reporting regimes such as; MiFID II Transaction Reporting, EMIR derivatives reporting, SFTR securities financing transaction reporting., • Internship or prior exposure to financial services, compliance, regulatory reporting, or fintech., • Exposure to transaction reporting systems, ARMs, or Trade Repositories., • Understanding of regulatory data elements such as ISIN, LEI, MIC, UTI, UPI, and execution venue identifiers., • Experience working with large datasets or reconciliation processes. Perks & Benefits: • Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access, • Life Insurance (4× salary) with Unum, • Unum’s Help@Hand: includes medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, and cancer support services for you, your partner, and your child(ren), • Employee Assistance Program, • Enhanced parental leave (maternity & paternity), • Professional qualification sponsorship, • Accelerated career progression based on performance, not tenure, • Holiday entitlement increases with tenure, • Flexible hours with core collaboration time, • Paid volunteering leave, • Gym & fitness discounts, • Quarterly socials, and office snacks & drinks, • Interest-based working groups to collaborate and innovate Novatus Global’s Equal Opportunities Statement: Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

Systems Integration Engineer | E-commerce | Shopify | Fully Remote | £280 Outside IR35 We’re partnered with a rapidly scaling global e-commerce organisation transforming how cross-border digital commerce operates. With a complex, multi-tenant platform spanning multiple regions, currencies, and languages, they’re investing heavily in their integration capabilities to support continued growth. As part of this journey, they’re looking for a Systems Integration Engineer to take ownership of client and vendor onboarding, ensuring seamless connectivity across a wide ecosystem of platforms and services 🌍 💰 Upto £280/Day (Outside IR35) 📍 Fully Remote 📅 6 Month Contract You’ll work across product catalogues, order provisioning, and key third-party systems including payments, tax engines, and CRM tools — playing a critical role in maintaining and enhancing platform performance. 💡 What you’ll be doing: • Leading end-to-end client & vendor integrations (scoping → delivery), • Collaborating with Engineering, Product & QA teams to drive delivery, • Gathering and translating business requirements into technical solutions, • Managing stakeholders across multiple regions, • Troubleshooting complex issues & performing root cause analysis, • Producing clear integration documentation & reporting, • Supporting pre-sales & ongoing integration improvements 🧠 Key experience required: • 5+ years in e-commerce / systems integration environments, • Strong API integration experience (Shopify, Magento, SAP, Oracle etc.), • Experience integrating with ERP, OMS & PIM systems, • Knowledge of integration methods (API, EDI, JSON, XML, streaming), • Familiarity with AWS, SQL & analytics/reporting tools, • Experience working in Agile environments, • Strong problem-solving & stakeholder management skills 🌟 This is a high-visibility, hands-on role where you’ll work closely with both clients and internal teams, shaping integration strategy and delivering real business impact. If you’re interested, feel free to apply or message me directly with your CV for immediate consideration - 📩 Systems Integration Engineer | E-commerce | Shopify | Fully Remote | £280 Outside IR35

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

Senior Manager, Product Analytics & Experimentation Location: London (Hybrid) This is a newly created leadership role designed to evolve and scale product analytics and experimentation capability rather than maintain it. The focus is on changing the operating model, improving experimentation quality, and shifting more ownership into Product and Engineering rather than relying on one to one analyst support. You will lead a team responsible for strengthening product decision making across core customer journeys including conversion, search, pricing, promotions, and basket optimisation. This role is about improving the quality of experiments, not just increasing the volume, ensuring teams are testing the right things. Key Responsibilities • Lead and redesign the product analytics and experimentation operating model, • Improve experimentation quality, governance, and statistical decision-making across Product teams, • Drive self-serve analytics adoption across behavioural analytics and experimentation platforms, • Partner closely with Product and Engineering leadership on high value product decisions and strategic opportunities, • Act as the senior quality control point for analytical outputs, experiment validation, and data confidence, • Coach and develop a team of Product Analysts while shaping future team growth and capability What We’re Looking For • Experience leading Product Analytics teams in a consumer digital, ecommerce, app, or marketplace business, • Strong background in experimentation, A/B testing, and improving product decision-making through data, • Ability to work credibly with senior Product and Engineering stakeholders and influence at leadership level, • Strong commercial judgement with the confidence to challenge weak analysis and poorly framed tests, • Hands-on data fluency with modern cloud data platforms, SQL, product analytics tools, and experimentation platforms, • Experience building scalable self-serve models rather than relying solely on embedded analyst support Unfortunately this role can not offer sponsorship.

Company Description FundSense is revolutionising asset management processes by delivering advanced solutions for managing operational complexity in the investment industry. Our platform leverages governed, golden-source data and controlled operational architecture to ensure reliable automation. At its core is FundSense iD, an intelligent data foundation governing thousands of structured product data points across the investment lifecycle. We support workflows for product data management, fund reporting, regulatory disclosures, document creation, and more, helping firms operate more resiliently, scale, and work more efficiently in an evolving regulatory landscape. Role Description We are seeking a full-time, remote* Fund Data Analyst to join our team. The Fund Data Analyst will analyse and manage structured product data, perform data modelling and analytics, and support the creation of regulatory disclosures and reports. This role involves collaborating closely with cross-functional teams to ensure data accuracy, streamline workflows, and align data processes with industry standards. The ideal candidate will contribute to developing solutions that enhance automation and operational efficiency across the investment lifecycle. *As we scale, we intend to open a London office later in 2026, when this role could transition to hybrid if preferred by the candidate. Qualifications • Strong Analytical Skills and Data Analytics knowledge to interpret complex financial datasets and drive actionable insights, • Minimum two years of relevant experience, ideally with a fund data vendor, • Proficiency in Data Modelling and Statistics for structuring and analysing data, • Excellent Communication skills to liaise with cross-functional teams and present findings clearly, • Experience in financial services or asset management is a plus, • Proficiency with data tools and platforms, such as SQL or advanced Excel, is preferred, • Bachelor's degree in Finance, Data Science, Statistics, or a related field, • Ability to work independently and manage tasks in a remote environment

Data Platform Engineer Location: London (Hybrid – 3 days per week onsite) Contract Type: 6 month Rolling Contract – Inside IR35 (Day Rate) Rate: £700–£750 per day About the Role We are seeking a Senior Software Engineer / Data Platform Engineer to support the ongoing evolution of a large-scale financial data platform. You'll be working with the technology team, supporting a core platform modernisation initiative. Our environment combines long-established enterprise systems and legacy components with modern cloud-based services running on AWS. The platform processes high-volume structured financial data and underpins both internal systems and customer-facing products. A substantial portion of the platform is built on large SQL Server data estates, making strong SQL expertise non-negotiable. You will play a key role in modernising core systems, improving performance and reliability, and delivering scalable services for the next generation of our platform. This role is ideal for engineers who can work confidently across both legacy and modern architectures, and who have deep experience designing and building robust APIs and data services. Key Responsibilities • Develop and optimise SQL Server queries, stored procedures, and data processing logic to handle high-volume structured data, • Design and implement backend services using modern programming languages (Python or C#), • Support and enhance existing legacy platforms, identifying opportunities for iterative modernisation, • Improve query performance through indexing strategies, query optimisation, and data processing efficiency, • Enhance platform reliability through automation, monitoring, and operational improvements, • Build and maintain services deployed within AWS environments, including API Gateway and scalable service architectures, • Design, build, and maintain reliable APIs for internal systems and integrations, • Use AI-assisted development tools (e.g., GitHub Copilot and IDE-integrated AI assistants) as part of the engineering workflow, • Collaborate with engineers, architects, and product teams across distributed locations, • Contribute to engineering standards, best practices, and platform-wide improvements Essential Skills & Experience • Significant professional software engineering experience (typically 8+ years), • Strong SQL Server skills, including complex queries, stored procedures, indexing, and performance tuning, • Experience working with large relational datasets, • Solid backend development experience in Python or C#, • Experience working in AWS environments, • Experience with complex enterprise or legacy systems, • Strong analytical and problem-solving abilities, • Ability to operate autonomously with minimal onboarding in a fast-paced environment, • Excellent communication across technical and non-technical stakeholders Desirable Experience (not required but if you have 1 or more it helps) • Experience designing and building APIs, • Strong mathematical or quantitative background, • Experience modernising legacy systems, • Experience designing data processing pipelines or ETL solutions, • Experience using AI-assisted development tools such as GitHub Copilot, • Experience in financial services, market data, or capital markets environments, • Degree in Computer Science, Software Engineering, Electronics, Electrical Engineering, or equivalent experience, • Exposure to regulated industries or complex data governance frameworks To apply, click the link provided. or email for a faster response.

Senior Data Analyst (Player Analytics) Watford - 3x a week Up to £95,000 + bonus This is a high impact senior analytics role for someone who thrives on ambiguity, pace and commercial problem solving. You will sit at the heart of a large, consumer focused organisation where data directly shapes strategy, product decisions and customer engagement. This is not a routine reporting role. You will be trusted to move quickly between complex problems, influence senior leaders and uncover opportunities that materially change business performance. The Company They are a large scale, highly regulated consumer organisation operating across multiple European markets. The business is going through a major transformation, with data and analytics embedded into decision making at every level. Marketing and digital are core investment areas, supported by one of the largest and richest data estates in the UK. The organisation has a strong purpose led mission and a clear ambition to grow long term value responsibly. The Role You will sit within a central Player Analytics team supporting digital, commercial, CRM and wider business initiatives. Working closely with senior stakeholders, you will act as a thought partner rather than a delivery only analyst. Key responsibilities include: • Leading ad hoc deep dive player analysis to identify commercial opportunities and risks., • Building advanced cohort, segmentation and behavioural analysis to understand customer motivation and value., • Supporting optimisation of digital journeys, products and interfaces through insight and test and learn analysis., • Modelling the financial and top line impact of new products, features and incentives, including unintended consequences., • Evaluating innovation initiatives and prototypes, supporting quarterly and longer term planning., • Analysing incentive and bonus mechanics to assess impact, identify bonus seeking behaviour and support responsible play., • Proactively anticipating stakeholder questions and challenging assumptions with data led thinking. Your Skills and Experience • Strong commercial experience in advanced data analysis within a consumer or regulated environment., • High proficiency in SQL and confidence working with large, complex datasets., • Experience using Python for advanced analytics such as segmentation, clustering and cohort analysis., • Ability to turn ambiguous business questions into structured analysis and clear recommendations., • Gravitas and communication skills to influence senior stakeholders and challenge thinking constructively., • Understanding of customer behaviour, motivation and responsible engagement principles. What They Offer • High autonomy and trust, with direct exposure to senior decision makers., • Access to a large, varied data estate and the opportunity to drive visible commercial impact., • Long term career progression within a data led, purpose driven organisation. How to Apply If you are a commercially minded senior analyst who enjoys variety, pace and influence, apply now to learn more about this opportunity.

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.

London | 12-Month Fixed Term Contract | Investment Management We’re partnering with a highly regarded global asset manager seeking a Client Reporting Executive to join their London-based reporting team on a 12-month fixed term contract. This role is ideal for someone with 1–2 years’ + experience (or a strong internship background) who wants hands-on exposure to client reporting, investment data, and front-office collaboration. What you’ll be doing: • Supporting the production of regular client reports, factsheets, and presentation materials, • Working with large datasets to ensure accuracy and consistency across reporting outputs, • Assisting in the maintenance and enhancement of reporting templates, • Collaborating with internal teams including Sales and Investments to meet client deliverables, • Helping to improve processes and identify opportunities for greater efficiency, • Contributing to ongoing reporting and data system enhancements The role requires: • 1 years’ + experience in asset management, financial services, or a related environment, • A degree in a numerate or finance-related discipline, • Strong Excel skills and a high level of attention to detail, • A proactive attitude and willingness to learn in a fast-paced environment, • Interest in financial markets and investment products, • Exposure to tools such as SQL, Tableau, or reporting systems is advantageous but not essential Why consider this opportunity? • Great entry point into a leading global investment firm, • Broad exposure to institutional reporting and investment teams, • Opportunity to develop technical and analytical skills in a supportive environment, • Involvement in ongoing improvements to reporting processes and technology

Microsoft Fabric Engineer Location: London Your Role: Capgemini Financial Services, we are seeking a number of Hands‑on Microsoft Fabric engineer with significant experience across Fabric data ETL. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home. Core Experience (Must‑Have) • End‑to‑end Fabric delivery specifically across storage, ingestion, and ETL in production., • Fabric decision‑making: practical choices between Lakehouse vs Warehouse, and use of Pipelines, Dataflows, Mirroring, Shortcuts based on real constraints., • Pipelines: set up and run Fabric Pipelines for ETL/ELT (ingestion, orchestration/scheduling) with production‑grade alerting and monitoring., • Strong SQL incl. T‑SQL for transformations and optimisation., • Qlik → Fabric: able to rewrite Qlik load scripts into Fabric SQL/T‑SQL, simplifying and optimising logic for Lakehouse/Warehouse execution., • Power BI: comfortable building reports on Fabric datasets., • Enablement & documentation: partner with technical teams, provide Fabric and Power BI advise and support, and document processes/decisions. Responsibilities : • Lead design and build of Fabric ETL aligned to team needs and best practice., • Select and justify Fabric components and their trade‑offs., • Migrate and optimise Qlik logic to Fabric SQL/T‑SQL for efficient execution., • Coach analysts/developers and document architecture and runbooks. We are a Disability Confident Employer: Capgemini is proud to be a ___under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: • Declare they have a disability, and, • Meet the minimum essential criteria for the role. About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | ___ If interested and for immediate consideration, please send your CV ASAP

Job Title: Sr. Software Engineer Work Schedule: Onsite 5 days Location: London, England Job Summary: We are looking for a hands-on Senior Software Engineer to own and accelerate our product delivery pipeline — from back-end database optimization to client-facing interactive dashboards and reporting platforms. This is a builder role. You will work directly alongside the Head of Data & Customer Analytics to identify bottlenecks, design improvements, and push products from backlog to production. You will be embedded in a small, high-output team where your contributions are immediately visible and impactful. Responsibilities: • Optimize and maintain a Treasury Dashboard hosted in client Azure environments (currently Streamlit-based; you will evaluate and drive the framework roadmap), • Lead the build of a web-based, interactive Risk Reporting platform — replacing a PDF solution with a scalable, multi-prime broker plug-and-play product, • Reduce client onboarding time for new reporting deployments to under two weeks, • Improve load times and performance across existing data pipelines and dashboards, • Integrate external and client-side data sources into existing reporting infrastructure, • Work across the full stack: database layer, back-end logic, front-end delivery. Qualifications: • Advanced Python: data processing, scripting, web frameworks (Streamlit, Django, or equivalent), • C / C++: performance optimisation, low-level processing, • Java: application-level development, • Microsoft Azure: cloud deployment and hosted application environments, • Database optimisation: SQL, query tuning, load performance, • Front-end development: web performance, interactive UI components, data visualisation, • Experience building or replicating BI/reporting tools (Tableau-equivalent functionality, interactive charts, drill-down tables)

If you need support in completing the application or if you require a different format of this document, please get in touch with at or call TCS London Office number 02031552100 / +44 204 520 2575 with the subject line: “Application Support Request”. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. The Role We are seeking an experienced Java Developer to join us, designing and building Spring Boot services within a microservices architecture for a regulated banking environment. The role focuses on delivering secure, scalable APIs and event-driven components, collaborating with product and platform teams to implement well-engineered solutions across transaction-heavy systems. You will contribute throughout the software development lifecycle—analysis, development, testing, deployment, and production support—helping to modernise critical platforms and improve performance, resilience, and observability. Key Responsibilities · Design, develop, and maintain Java applications using Spring Boot, building RESTful APIs and microservices for high-volume banking platforms. · Implement microservices patterns (service decomposition, resilience, circuit breakers, retries, idempotency) and ensure reliable inter-service communication. · Collaborate with architects, product owners, QA, and DevOps to refine technical requirements, estimate work, and deliver features in Agile sprints. · Build automated tests (JUnit, Mockito, integration tests) and contribute to CI/CD pipelines to enable frequent, reliable releases. · Develop data access layers using Spring Data/JPA and SQL; optimise queries and persistence strategies to meet performance and scalability goals. · Define and maintain API contracts (OpenAPI/Swagger), integrate with upstream/downstream systems, and ensure backward compatibility across releases. · Apply secure coding practices (OAuth2/JWT, input validation, secrets management) and support security reviews in a regulated environment. · Improve service observability using structured logging, metrics, and distributed tracing; troubleshoot incidents and perform root-cause analysis. · Containerise services (Docker) and support deployments to Kubernetes/OpenShift and/or cloud platforms, following infrastructure and release standards. · Promote engineering best practices (clean code, reviews, documentation) and contribute to technical design discussions to improve platform resilience and maintainability. Your Profile Essential skills/knowledge/experience: · Strong hands-on experience in Java development (typically 5+ years), delivering backend services using Spring Boot in an enterprise environment · Proven experience designing and building microservices (REST APIs, service-to-service communication, resilience patterns) and integrating with distributed systems · Strong engineering practices including unit/integration testing (JUnit/Mockito), code reviews, and experience working with CI/CD pipelines · Experience with data persistence and integration, such as SQL and ORM frameworks (JPA/Hibernate), and familiarity with messaging/event-driven patterns (e.g., Kafka/RabbitMQ) · Comfortable working in Agile teams and in production environments, with exposure to containers/cloud (Docker/Kubernetes, AWS/Azure) and observability (logging/metrics/tracing) Desirable skills/knowledge/experience: (As applicable) · Experience with container orchestration and deployments (Kubernetes/OpenShift) and hands-on troubleshooting in production environments · Cloud experience (AWS/Azure), including networking basics, IAM concepts, and working with managed services used by microservices · Experience with event streaming/messaging and distributed data platforms (e.g., Kafka) and designing event-driven microservices · Performance engineering experience (profiling, JVM tuning, latency analysis) and building resilient services under high throughput · Exposure to financial services domain (banking/payments) and experience working with distributed, cross-functional teams on large-scale systems Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at if you would like to opt in. If you are an applicant who needs any adjustments to the application process or interview, please contact us at with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process. Next Steps: Application Process (optional) 2. Skill-Based discussion: This will be a level 1 interview with the project team, it can be via video or in-person. Details will be confirmed by your recruiter., 3. Managerial discussion: This discussion will focus on behavioural aspects and person-organisation fit., 4. HR Discussion: This will be with one of the members of the HR team and will cover your career journey, aspirations for growth, compensation and any other questions you may have. Beware of Fraudulent offers This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to to report any fraudulent activity. Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion. Join us and do more of what matters. Apply online now

Principal Software Engineer | C# .NET Energy Trading | ETRM Architectural Redevelopment | Azure | £120,000 | 3 days in office | London Our client, a leading global energy brokerage, is looking for a Principal C# .NET Software Engineer to join their Power and Gas team for a crucial restructuring of their Front Office ETRM trading platform. This isn’t a maintenance role you will be driving a major architectural redesign of a C# .NET‑based ETRM system that underpins a high‑performing trading desk. You will act as the key technical authority, taking ownership of a low‑latency C# .NET trading platform operating across Power and Gas markets. What makes this role unique is the cause‑and‑effect nature of the system: every action your code takes influences market behaviour, and the market immediately feeds back into your platform. This requires engineering judgement in real time — handling asynchronous events, mutating state safely, and ensuring the platform remains deterministic under volatility. In this role, you will own the full‑stack restructuring of a low‑latency ETRM platform, applying deep C# .NET architectural expertise to deliver a real‑time, event‑driven trading system. You will design a scalable C# .NET trading architecture capable of supporting increased user concurrency, complex pricing logic, P&L workflows, and execution management as the desk expands across Power, Gas, and Emissions trading. The current system is a legacy C# ETRM platform built for a small user base; the challenge is to evolve it into a resilient, event‑driven C# .NET trading system capable of supporting multiple Front Office traders interacting with live market data, reacting to execution events, and recalculating P&L and risk in real time. This demands strong command of asynchronous C# workflows, event‑driven architecture patterns (Kafka / Solace), queuing and pipeline design, and clean separation between trading logic, execution services, APIs, and UI layers. You will bring first‑hand experience designing high‑performance C# .NET trading systems where correctness, determinism, latency control, and throughput are essential. Drawing on best practices from Front Office Energy Trading, you will ensure the ETRM platform can absorb volatility, scale horizontally, and maintain predictable behaviour under stress. This is an opportunity to influence not only the C# .NET architecture, but the broader Energy Trading technology strategy balancing low latency, resilience, scalability, and long‑term maintainability. 💸 Salary: £120,000 + performance bonus 📍 Location: London (Hybrid) 💹 Tech Stack: C# | .NET 8 | Azure | On‑Prem | Angular | Kafka | SQL Server | gRPC | REST APIs | Event‑Driven Architecture Technical Requirements Front Office Pedigree: 8+ years in high‑performance C# .NET environments, specifically building P&L, Risk, Pricing, or ETRM trading systems within Energy Trading. Messaging Expertise: Deep experience with high‑throughput messaging systems (Kafka / Solace), implementing asynchronous, event‑driven C# architecture patterns and handling real‑time state mutation. Architectural Leadership: Proven ability to design and build scalable C# .NET trading platforms while maintaining clean architecture, SOLID principles, and long‑term maintainability. Database Fundamentals: Strong SQL Server experience managing high‑volume trading data, audit trails, trade capture, and real‑time reporting within an ETRM or Energy Trading platform. Communication: Ability to work closely with Front Office stakeholders, traders, quants, and technology teams to define and architect scalable C# .NET ETRM solutions aligned to business growth.

ERS Forensic, Analytics Manager (108689) KPMG overview KPMG in the UK is part of a global network of firms that offers Audit, Legal, Tax and Advisory services. Through the talent of over 16,000 colleagues we bring our creativity, insight and experience to solve our clients’ and communities’ biggest problems. We’ve been doing this for more than 150 years. We aim to be universally recognised as a place for great people to do their best work. A firm known for our collaborative and inclusive culture, using technology to empower and equip our people to deliver outstanding work with real flexibility – through inspiring workspaces, innovative ways to collaborate and hybrid ways of working. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our mission is simple: To support the UK in a connected world. It guides everything we do, underpinned by our values: Courage, Integrity, Excellence, Together and For Better. Summary of role purpose Investigations and Compliance (I&C) is part of KPMG’s Forensic practice. We help clients with their biggest and most challenging misconduct and integrity matters. Our work helps clients respond to regulatory enquiries, reduce reputational risk and prevent or reduce commercial loss by helping them to investigate and mitigate risks including fraud and misconduct, bribery and corruption, financial crime and much more. As a result of an exciting and increasing pipeline of fraud analytics work, we are looking for a Manager to help coordinate the strategic direction of a team deploying analytics (including fraud analytics routines and GenAI capabilities) over large complex financial and other datasets, both structured and unstructured. Description of the role The role will involve leading a team deploying forensic analytics (including testing routines across structured data and LLM-enabled unstructured, structured and open-source data analysis) over large datasets to help our clients solve their most complex fraud, misconduct and integrity matters. This role requires a deep understanding of both structured and unstructured data analytics techniques, coupled with strong leadership and communication skills. The successful candidate will be responsible for developing and implementing innovative analytical solutions leveraging a wide range of techniques, including through the use of SQL, Python, cloud computing and Generative AI (GenAI). You should expect to work on a variety of project-based work over a cross section of forensic work types, industries and geographies. Day to day activities will vary depending on the type and circumstances of each project. As a Manager, you will be expected to: • Manage the day-to-day delivery of client engagements, or components thereof, with a focus on using data analytics tools, developing one off or continuous solutions, to analyse large and complex datasets, both structured and unstructured, • Liaise and work directly with the client, the client’s external counsel, senior members of the KPMG team and other third parties as required, • Draft written deliverables and/or presentations, suitable for review by KPMG Partners and Directors, and ultimately for presentation to our clients, • Oversee and train junior colleagues, • Participate in business development activities including marketing, knowledge sharing and practice development You will be based in KPMG’s CSQ office working under KPMG’s hybrid working model of both home and office working. You will need to display a flexible attitude to working and be prepared to travel/work at other locations within the UK and internationally. The Person Essential: • Has a track record of developing a strategy to deploy data analytics tools across large data sets to identify markers of potentially fraudulent activity, and successfully deploying that strategy in a complex and dynamic investigations environment, • Has proven expertise in SQL, Python, and other relevant programming languages to perform data curation, analysis and interrogation to return answers to the analytical questions posed, • Has experience in translating non-technical business requirements into analytical solutions, • Is a qualified accountant or understands double entry bookkeeping in the context of ERP systems, • Can demonstrate experience of building GenAI solutions, understands the capabilities and concepts of LLMs, such as AI agents, and has knowledge of prompt engineering techniques, • Works independently, resolving complex issues with little or no supervision or direction, • Has experience of managing a junior team to achieve the required objectives Skills we’d love to see/Amazing Extras: • Understands financial processes such as P2P, R2R, and O2C, and how to use relevant data markers from these processes to link datasets, develop ETL pipelines and identify transactions of potential concern, • Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis., • Has experience of using data visualisation tools such as PowerBI, • Has experience with general ledger / ERP data as a prerequisite, with an experience of larger ERP systems such as SAP / Oracle a plus, • Has familiarity with Graph Analytics and tools/libraries such as Neo4j and NetworkX To discuss this or wider Consulting roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG. Our Locations: We are open to talk to Forensic talent across the country but our core hubs for this role are: • Birmingham, • London Canary Wharf, • Manchester With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: Within Consulting we have a range of divisions and specialisms. Click the links to find out more below: • Consulting at KPMG: ___, • ITs Her Future Women in Tech programme: ___, • Applying to KPMG: ___, • Tips for interview: ___, • KPMG values: ___, • KPMG Competencies: ___