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Job Description Role: Security Resources Manager Location: UK Level: Manager Salary: Competitive Salary & Package (Dependent on Experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Note: The above information relates to a specific client requirement About the Role: As a Manager in the Resources Security industry group, you will be responsible for overseeing security-related activities at clients across the energy, chemicals, and utilities sectors. You will bring together technical, commercial, and industry expertise to help clients address their most complex security challenges, while growing Accenture's security business. We are looking for people with broad expertise across multiple security domains, including security of emerging technologies (e.g., AI), Operational Technology (OT) security, security operations (vulnerability management, detect & response), cyber strategy, and IAM, combined with strong commercial acumen. In this role, you will oversee project delivery, build trusted client relationships, and develop new opportunities. You will act as the bridge between the client, the account team, and Accenture's network of domain experts. Key Responsibilities Client Delivery & Leadership Lead end-to-end delivery of security projects in regulated environments, managing timelines, budgets, and quality to agreed outcomes Act as the primary point of contact for client stakeholders, from technical teams through to C suite, building trust based relationships and ensuring seamless execution Conduct cybersecurity strategy assessments, readiness evaluations, and discovery workshops using industry frameworks and compliance mandates Identify and articulate risks at project, business, and technical levels, delivering proportionate and cost effective mitigation strategies Technical Expertise Perform detailed analysis of secure architectures, identifying vulnerabilities and recommending improvements Design and implement robust cybersecurity solutions tailored to client environments and risk profiles Develop security control frameworks incorporating industry best practices and international standards (NIST, ISO 27001) Create high quality deliverables including threat and risk assessments, security policies, procedures, assurance management plans, and compliance evidence Stay current on emerging threats, AI driven security solutions, and regulatory developments, contributing insights to shape client strategies Commercial & Business Development Drive business development by identifying and qualifying new opportunities within existing accounts and building new client relationships Contribute to sales pursuits, proposals, and commercial responses, with an expectation to support pipeline and revenue targets as Senior Manager Partner with Accenture industry and alliance teams to develop differentiated, go to market security offerings for the Resources sector People Leadership & Growth Lead, coach, and develop teams of security consultants across Analyst, Senior Analyst, Consultant, and Manager levels Provide guidance, knowledge sharing, and skill building that raises the capability of the broader team Contribute to Accenture's thought leadership in security through publications, client presentations, and industry engagements What We Offer: Work on high profile projects spanning critical national infrastructure, advanced manufacturing, and defence clients Access to Accenture's global network of security professionals and world class continuous learning resources Hybrid working with flexibility around client and project needs Structured career progression within a rapidly growing cybersecurity practice Competitive total compensation package including performance bonus An inclusive culture that values diverse thinking and boundaryless collaboration What's in it for you: At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Closing Date for Applications: 30/04/2026 Accenture reserves the right to close the role prior to this date should a suitable applicant be found. Qualification What You'll Need: Essential 12+ years of experience in cybersecurity, with a focus on critical infrastructure or regulated industrial environments Proven track record leading complex, multi-workstream security programmes at a senior level Familiarity with security regulations and frameworks (NIST, NIS, CAF) Experience working with both technical teams (engineers, IT/OT) and executive stakeholders Commercial awareness, including experience contributing to business development, bids, or account growth Excellent communication skills - able to translate complex technical risks into clear business impact Willingness to travel across the UK as projects require Highly Valued Professional certifications: GICSP, CISSP, or equivalent Experience across multiple sectors: Energy, Utilities, Manufacturing, Aerospace, Defence, or Critical National Infrastructure Knowledge of security and regulatory standards including NIST, ISO 27001, and CAF Background spanning both advisory and hands on technical implementation Familiarity with AI-enabled security tooling and how emerging technologies are reshaping the threat landscape Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .

About Us IWSR is the leading source of data and insights for the global alcohol industry, partnering with top global beverage alcohol companies. Now part of the WGSN group, we are a friendly company headquartered in London, with teams working across the globe. This role offers an exciting opportunity to contribute to our continued growth and innovation, specifically in managing our extensive and industry unique data. Role Overview We are looking for a Senior Data Analyst to join our UK-based team. Reporting to the Data Delivery Senior Data Manager, this role is pivotal in supporting a new structure within the wider data division. Working in the newly created Data Delivery team, this role would suit a diligent and accurate individual who enjoys the challenge to work on data solutions, whilst being a product lead. We require a data professional responsible for processing and distributing one of the data team's core products plus assisting on a wide range of other data initiatives. This product will have a monthly cadence of data ingestion and processing with a significant need for end client relations. You will also be encouraged to research and design new effective methods of illustrating, processing and aligning data whilst ensuring that outputs are delivered on time and to the required accuracy. It is imperative that you are proactive in the role keeping abreast of advances in data processing, data analytics and AI to further modernise current means of delivery. This will include a migration away from excel based outputs, processes and operations to SQL-based operations, dashboards and other front-end strategies. Collaboration with senior stakeholders is vital as is a methodical committed approach to their work. Overall, this is a data heavy position where we are looking for an analyst with a focused data background who can problem solve, communicate and lead. Candidates with 3 years+ experience as a data analyst. The role is based out of IWSR's London office. Key Responsibilities Lead, maintain and develop a dedicated data product. Modernise and automate current delivery process. Troubleshoot and triage issues. Communicate and actively engage internal/external stakeholders. Collaborate with senior data scientists, data analysts, and others to understand data requirements and implement data driven solutions. Help foster a dynamic and collective team culture. Implement best practices and product documentation. Skills & Experience Essential Advanced Excel, with a proven pedigree in using functions and automation (including Macros/VBA). SQL Server, MS SQL, PostgreSQL and SQL querying/query creation. Experience of querying, extracting and modelling data. Diligence and care when manipulating large and repetitive datasets. Strong problem solving, analytical and critical thinking skills - open minded. Comfort and soft skills in dealing with stakeholders. Ability to translate business requirements into data solutions and processes. Excellent written and verbal communication skills; fluency in English. Ability to manage priorities and work independently as required. Proven success in delivering to agreed timelines and ability to work under tight deadline pressure. A maths, data, statistics or numeric based qualification to degree level. Advantageous Knowledge of data warehouse fundamentals e.g. star schemas and dimensional modelling. Experience of ETL design and tooling. Dashboard creation (Excel, Tableau etc.) and front end solution architecture. Ability to mentor and develop individuals. Benefits Generous time off: 25 days holiday plus bank holidays and a company wide end of year break. Flexible work environment: Hybrid working model with flexible hours. Comprehensive perks: Private medical insurance, pension, regular social events and a volunteering policy. Growth opportunities: Lots of learning and development opportunities.

A leading global insights firm in London is looking for a Senior Data Analyst to manage and deliver a dedicated data product. The role requires strong analytical skills and experience in SQL and Excel, alongside collaboration with data scientists and stakeholders. Candidates should have at least 3 years of experience in data analysis and problem-solving skills. The position supports a hybrid work environment with generous benefits including flexible working hours and private medical insurance.

Lead/Senior Data Scientist (Credit Risk) Office: United Kingdom Remote: Germany Portugal Spain UK Apply for this role About the company About Cleo At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast growing unicorn with over $200 million in ARR and growing over 2x year over year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. The role We're looking for a Lead/Senior Data Scientist to help us measure, monitor, and improve the performance of Cleo's credit products. This is a level 3 or 4 Analytics role. This is a hands on data science and analytics role. You'll be analysing behaviour across millions of US users, using rich transactional and behavioural data that powers Cleo's AI money coach and credit products. You'll spend the majority of your time in SQL and Python, working directly from Cleo's data warehouse to understand, explain, and improve credit performance. This is not a traditional underwriting or policy role. You'll be the analytics owner for EWA / specific product , with direct line of sight to losses, revenue, and product roadmap. You'll work closely with other analysts, Risk Modellers, Product Managers, and Engineers to diagnose portfolio trends, build monitoring frameworks, and deliver insights that inform how Cleo manages and optimises risk. You'll sit within the Risk & Payments pillar, working at the intersection of data, decisioning, and product, helping us build scalable systems that balance user access with sustainable economics. You'll be part of a growing team responsible for driving profitable growth while protecting the business from loss, using data to understand repayment behaviour, model performance, and system level trade offs. This is an opportunity to shape how we quantify and manage risk as we expand across new credit products and geographies. What You'll Be Doing 1. Credit & Risk Performance Analytics Write complex SQL/python to pull cohort and event level datasets from our warehouse and turn them into clear, decision ready analyses. Quantify the commercial impact of performance changes (losses, yield, approval rate) Design and analyse multivariate experiments on underwriting, pricing, or repayment flows, and translate results into actionable risk strategies Analyse arrears, default, and yield trends across Cleo's credit products. Identify emerging risks and shifts in eligibility or repayment behaviour using cohort and segmentation analysis. Build and maintain dashboards for portfolio health and performance tracking. Design early warning alerts for anomalies in arrears or model driven decisioning. 2. Model Understanding & Monitoring Partner with the Risk Modelling team to turn model health metrics (AUC, PSI, calibration, feature drift) into clear recommendations for policy or product changes. Monitor model stability and support investigations into concept drift and feature degradation. Quantify the impact of model changes and assess whether observed shifts are model or market driven. 3. Deep Dive Investigations Conduct root cause analysis on performance deteriorations (e.g., arrears spikes, yield compression). Own investigations from question analysis recommendation, and present your work to Risk, Product, and Leadership. Use decomposition, SHAP analysis, and driver frameworks to explain variance in loss and yield. Support the design and measurement of A/B tests or pilot changes in credit decisioning or repayment operations. 4. Forecasting & Scenario Support Partner with Finance and Commercial teams to support variance analysis and monthly forecast inputs. Model how shifts in repayment or eligibility rates flow through to portfolio loss and profitability. 5. Tooling, Frameworks & Collaboration Work with Analytics Engineering to improve risk data pipelines and metric definitions. Build reusable analysis templates and frameworks for monitoring across multiple credit products. Communicate insights clearly to non technical stakeholders, transforming complex findings into actionable decisions. About You Experience & Skills 4+ years analytics or data science experience in a risk focussed role, ideally within fintech, lending, or payments Excellent SQL skills Fluency in Python (or R) for data analysis, modelling, and statistical testing Experience conducting large scale A/B experiments and interpreting results to drive product and business decisions Fluent in credit portfolio metrics - e.g. arrears buckets, roll rates, loss rate, yield/marginal loss - and how they tie to unit economics and P&L Hands on experience working with predictive models (e.g. credit, fraud, marketing), including interpreting metrics like AUC/Gini, calibration, PSI/CSI, drift. Hands on experience with BI tools (e.g. Looker, Mode, Tableau) and data workflow tools (dbt, Airflow) Strong analytical rigour and the ability to translate findings into clear business recommendations Track record of taking analyses all the way through to shipped changes and measurable impact Nice to Have Exposure to credit risk or payments decisioning (eligibility, pricing, loss modelling, or fraud detection). Experience with model monitoring, feature engineering, or supporting ML deployment. Familiarity with US and/or UK consumer credit or payments regulations. What do you get for all your hard work? A competitive compensation package (base + equity) with bi annual reviews, aligned to our quarterly OKR planning cycles Work at one of the fastest growing tech startups, backed by top VC firms, Balderton & EQT Ventures. A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work. Work where you work best. We're a globally distributed team. If you live in London we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Other benefits (Can differ based on geographical location) Company wide performance reviews every 6 months Generous pay increases for high performing team members Equity top ups for team members getting promoted 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days) 6% employer matched pension in the UK Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in person We'll pay for your OpenAI subscription Online mental health support via Spill Workplace Nursery Scheme We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. Apply for this role

Overview Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The User Experience Senior Analyst is an intermediate level experienced role, strongly contributing to the research, analysis and design of digital products and systems. User Experience partners with Product and Technology colleagues to create innovative and intuitive digital products that deliver best-in-class user experience and usability to our clients, both internally and externally. We undertake a wide spectrum of activities, from discovery and research, through definition, ideation, and design, to the management of design systems and the delivery of interactive prototypes and high-fidelity designs to our development partners. The UX Design Group's primary goal is to research and design products and solutions that are streamlined, intuitive, consistent, accessible, great-looking, and easy-to-use, which perfectly suit (or even anticipate) our clients' needs. Responsibilities Hold meetings with users, clients, product sponsors and technology to understand project requirements Perform UX research, define IA, user journeys, and create personas Identify metrics and data that can support decision-making Work closely with users, stakeholders, business analysts, product managers and development teams to brainstorm and co-create ideas, approaches, and solutions Perform relevant testing to validate and inform design decisions Create wireframes, prototypes, and high-fidelity designs using specialist tools such as Sketch, InVision, Axure, and the Adobe suite Apply a positive and constructive attitude to all feedback Use, and contribute to, the approved design system Adhere to, and improve design standards and best practices Perform detailed handover to development teams, ensuring they have all they need to implement the designs Provide ongoing support to development, with regular UX review checkpoints ensuring quality and spec are as designed Keep up to date with the latest UX practices, innovations, and tools Ensure all designs comply with ADA/WCAG standards for accessibility Deliver on-time, identifying and managing risks to ensure timelines are met, and escalating where needed Help to train and support junior team members Confidently challenge substandard work by other team members Contribute to the wider UX community of practice and appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citi, its clients and assets, by driving compliance with applicable laws, rules and regulations Qualifications Proven relevant experience Strong attention to detail & analytical skills Experience delivering with an agile methodology Excellent communication and presentation skills Highly skilled in professional design tools (e.g., Sketch, Figma, AdobeXD, Axure, InVision) Experience using design systems; keen interest in, or knowledge of, banking or finance HTML/CSS Development Skills Education Bachelor's degree/University degree, Master's degree preferred What we'll provide you By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Equality and inclusion: Citi is an equal opportunity employer. Qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

Team Overview SMBIC Data and Regulatory Operations Group is a global team operating in over 20 countries, providing essential support to key business lines including Markets, Services, and Wealth Management. We provide an array of services to enable client lifecycle transactions; from relationship establishment, supporting the data demands surrounding instruments and delivering non-financial reporting to our regulators. Regulatory Operations Change Team The Regulatory Operations Change Team, within SMBIC Data and Regulatory Operations, is responsible for the execution of regulatory change initiatives, including: Implementation of new regulations and changes to existing regulations Remediate issues noted by regulators and auditors Build controls strategic framework What you'll do This role is to support the delivery of the new transaction reporting regime in South Africa. The candidate will be working on the project until Q2 2027 and then supporting the daily activities post project completion. Provide business analyst and project management support for the execution of upcoming regulations, including data gathering, documentation, and stakeholder communication. Support the development of training materials and communication plans. Work closely with business functions (e.g., Operations, Middle Office, Front Office, Technology, Compliance, Legal and Finance) to gather information and support the execution of change initiatives. Assist with the preparation of materials for Business Execution and Transformation teams on topics relating to program oversight, risk monitoring, financial and administrative reporting. Support the governance of program / projects including the scheduling and preparation of materials for steering committee and working groups. Identify potential project risks and escalate them to the Senior Change Manager or Change Management Lead. Ensure that the workstreams/projects meet requirements and are to the appropriate quality, on time and within budget, in accordance with the program plan and governance. What we need from you Financial services experience, with exposure to global markets trading and investment banking operations preferred. Basic knowledge of capital markets products, including cash securities, exchange-traded derivatives, and OTC derivative products. Basic knowledge of regulatory reporting regulations - MiFID II/MiFIR, EMIR, CFTC, SEC, CSA, CAT, ASIC, MAS, SFTR etc. Experience in supporting the implementation of projects, operational process change and improvement. Project experience working within business management, middle office, compliance, legal and/or technology. Experience in collecting, defining, and documenting business requirements, test plans and other project management artifacts. Strong communication and interpersonal skills. Strong Microsoft Office skills; including Visio and Project. Competencies Execution/delivery focus with a willingness to learn and contribute to change management processes. Strong organizational skills. Ability to handle changing priorities and manage multiple tasks simultaneously. Excellent oral and written communication skills and ability to communicate effectively with stakeholders. Ability to work under pressure and manage tight deadlines or unexpected changes in expectations or requirements. A basic knowledge of the techniques for planning, monitoring, and controlling programs and resources. Ability to create and deliver presentations to management, effectively communicating program status, risks, and opportunities. Ability to quickly grasp and master new concepts/requirements and related product/functional knowledge. Ability to learn/understand some technical implications of system design. Ability to work independently, multi task, and take ownership of various parts of a project or initiative. Excellent analytical and problem solving skills, with the ability to identify root causes and develop effective solutions to complex challenges. Bachelor's/University degree is required. What we can offer you By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure. Discretional annual performance related bonus. Private medical insurance packages to suit your personal circumstances. Employee Assistance Program. Pension Plan. Paid Parental Leave. Special discounts for employees, family, and friends. Access to an array of learning and development resources. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized, motivated to stay, and empowered to thrive. Equal Opportunity & Accessibility Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, please review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

(Senior) Machine Learning Engineer, Chat Office: United Kingdom Remote: UK Apply for this role About the company About Cleo At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast-growing unicorn with over $300 million in ARR and growing over 2x year-over-year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About the role (Senior) Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. This really does vary but could be: creating chatbots to coach our users around their financial health, creating classifiers to better understand transaction data or even optimising transactions within our payments platform. Ultimately, we're looking for a brilliant (Senior) Machine Learning Engineer to join us on our mission to fight for the world's financial health. You'll be leading technical work within a team of adaptable, creative and product-focused engineers, who train & integrate cutting edge machine learning across a variety of products and deploy them into production for millions of users. We understand our customers, we understand their pain, and we are passionate about helping them. Check out this blog on Isabelle's journey in ML at Cleo. What you'll be doing Training and fine-tuning models to solve customer problems across our chatbot and the bank transaction data behind it. Deploying these models into our production environments using our in-house ML platform, which you can read about on our blog:Let's have an Espresso: MLOps at Cleo . Or integrate with LLMs hosted by OpenAI, Anthropic, GCP, AWS and others. Working cross-functionally with backend engineers, data analysts, UX writers, product managers, annotation teams, and others to ship features that improve our users' financial health. Taking the initiative to propose & lead technical work towards problems that were previously unknown or poorly understood. Driving change at the chapter level that affects multiple squads. Keeping Cleo at the forefront of NLP by driving the adoption of appropriate state-of-the-art techniques and communicating the team's successes and learnings at the company level & beyond. Mentoring & advising colleagues on their choices of models, architecture, and evaluation, promoting best practices for how we use LLMs. Here are some examples, big and small, of the kinds of product feature work our ML Engineers have taken part in over the last year: Building AI Agents to explore and derive insights from users transactional data Developed deeper understanding of users finances through models extracting meaning from transactional data. Think about your bank statement, how often do you not know what a transaction is? Developed contextual intent classifiers to understand what conversations users are having with Cleo, enabling control of how Cleo should respond Building ML models to understand the actions that users have available to them in Cleo and provide those contextually in conversations Built ML models to understand the risk of customers using bank transaction features and user activity Built models to optimise the payment success for our customers and optimising the costs for the business. Think of this as a two-sided optimisation problem. Whatever problem you tackle, and whichever team you join, your work will directly impact those most in need, helping to improve their financial health. What You'll Need Excellent knowledge of both Data Science (python, SQL) and production tools A deep understanding of probability and statistics fundamentals Big picture thinking to correctly diagnose problems and productionising research Top tier communication skills, to be able to partner with Product and Commercial Leaders Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects Advanced Degree in a quantitative discipline or equivalent commercial experience Nice to have Strong experience with additional programming languages, such as Java, Scala, C++ Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects The recruitment process Interview with a Recruiter (30 mins)Interview with the Hiring Manager (30 mins)Python Coding Interview (45 mins)White-boarding session (60 mins)Technical Discussion (45 mins) What do you get for all your hard work? A competitive compensation package (base + equity) with 3-annual reviews, aligned to our termly OKR planning cycles. Mid-level: London, UK Hybrid: £74,266 - £91,000 gross annually UK Remote: £69,699 - £85,000 gross annually Senior- level: London, UK Hybrid: £94,059 - £115,000 gross annually UK Remote: £88,938 - £109,000 gross annually Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work Work where you work best. We're a globally distributed team. If you live in London we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Company-wide performance reviews every 4 months Generous pay increases for high-performing team members Equity top-ups for team members getting promoted 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days) 6% employer-matched pension in the UK Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in-person We'll pay for your OpenAI subscription Online mental health support via Spill Workplace Nursery Scheme And many more! Final compensation will be determined based on the candidate's seniority, qualifications, skills, and previous experience We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. App access for people in the UK & Europe: If you are an iOS user, please use this link to sign up to our TestFlight version of the app, so you can have a play around with the functionality and features: By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Cleo AI. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Cleo AI may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Cleo AI's Candidate Privacy Notice Apply for this role

(Senior) Machine Learning Engineer, Chat Office: United Kingdom Remote: UK Apply for this role About the company About Cleo At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast-growing unicorn with over $300 million in ARR and growing over 2x year-over-year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About the role (Senior) Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. This really does vary but could be: creating chatbots to coach our users around their financial health, creating classifiers to better understand transaction data or even optimising transactions within our payments platform. Ultimately, we're looking for a brilliant (Senior) Machine Learning Engineer to join us on our mission to fight for the world's financial health. You'll be leading technical work within a team of adaptable, creative and product-focused engineers, who train & integrate cutting edge machine learning across a variety of products and deploy them into production for millions of users. We understand our customers, we understand their pain, and we are passionate about helping them. Check out this blog on Isabelle's journey in ML at Cleo. What you'll be doing Training and fine-tuning models to solve customer problems across our chatbot and the bank transaction data behind it. Deploying these models into our production environments using our in-house ML platform, which you can read about on our blog:Let's have an Espresso: MLOps at Cleo . Or integrate with LLMs hosted by OpenAI, Anthropic, GCP, AWS and others. Working cross-functionally with backend engineers, data analysts, UX writers, product managers, annotation teams, and others to ship features that improve our users' financial health. Taking the initiative to propose & lead technical work towards problems that were previously unknown or poorly understood. Driving change at the chapter level that affects multiple squads. Keeping Cleo at the forefront of NLP by driving the adoption of appropriate state-of-the-art techniques and communicating the team's successes and learnings at the company level & beyond. Mentoring & advising colleagues on their choices of models, architecture, and evaluation, promoting best practices for how we use LLMs. Here are some examples, big and small, of the kinds of product feature work our ML Engineers have taken part in over the last year: Building AI Agents to explore and derive insights from users transactional data Developed deeper understanding of users finances through models extracting meaning from transactional data. Think about your bank statement, how often do you not know what a transaction is? Developed contextual intent classifiers to understand what conversations users are having with Cleo, enabling control of how Cleo should respond Building ML models to understand the actions that users have available to them in Cleo and provide those contextually in conversations Built ML models to understand the risk of customers using bank transaction features and user activity Built models to optimise the payment success for our customers and optimising the costs for the business. Think of this as a two-sided optimisation problem. Whatever problem you tackle, and whichever team you join, your work will directly impact those most in need, helping to improve their financial health. What You'll Need Excellent knowledge of both Data Science (python, SQL) and production tools A deep understanding of probability and statistics fundamentals Big picture thinking to correctly diagnose problems and productionising research Top tier communication skills, to be able to partner with Product and Commercial Leaders Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects Advanced Degree in a quantitative discipline or equivalent commercial experience Nice to have Strong experience with additional programming languages, such as Java, Scala, C++ Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects The recruitment process Interview with a Recruiter (30 mins)Interview with the Hiring Manager (30 mins)Python Coding Interview (45 mins)White-boarding session (60 mins)Technical Discussion (45 mins) What do you get for all your hard work? A competitive compensation package (base + equity) with 3-annual reviews, aligned to our termly OKR planning cycles. Mid-level: London, UK Hybrid: £74,266 - £91,000 gross annually UK Remote: £69,699 - £85,000 gross annually Senior- level: London, UK Hybrid: £94,059 - £115,000 gross annually UK Remote: £88,938 - £109,000 gross annually Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work Work where you work best. We're a globally distributed team. If you live in London we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Company-wide performance reviews every 4 months Generous pay increases for high-performing team members Equity top-ups for team members getting promoted 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days) 6% employer-matched pension in the UK Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in-person We'll pay for your OpenAI subscription Online mental health support via Spill Workplace Nursery Scheme And many more! Final compensation will be determined based on the candidate's seniority, qualifications, skills, and previous experience We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. App access for people in the UK & Europe: If you are an iOS user, please use this link to sign up to our TestFlight version of the app, so you can have a play around with the functionality and features: By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Cleo AI. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Cleo AI may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Cleo AI's Candidate Privacy Notice Apply for this role

A tech-driven insurance company in Greater London is seeking a Data Analyst to enhance pricing strategies using SQL and Python. You'll communicate findings to senior leaders and collaborate across teams. Ideal candidates are proactive, technical, and have a STEM background or data science experience. The position offers hybrid work, competitive bonuses, and a flexible benefits budget, supporting a strong culture of mental wellbeing and continued learning.

Senior/Lead Data Scientist (Credit Risk) Office: United Kingdom Remote: UK Apply for this role About the company At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast-growing unicorn with over $300 million in ARR and growing over 2x year over year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. The role We're looking for a Lead/Senior Data Scientist to help us measure, monitor, and improve the performance of Cleo's credit products. This is a level 3 or 4 Analytics role. This is a hands on data science and analytics role. You'll be analysing behaviour across millions of US users, using rich transactional and behavioural data that powers Cleo's AI money coach and credit products. You'll spend the majority of your time in SQL and Python, working directly from Cleo's data warehouse to understand, explain, and improve credit performance. This is not a traditional underwriting or policy role. You'll be the analytics owner for a specific product, with direct line of sight to losses, revenue, and product roadmap. You'll work closely with other analysts, Risk Modellers, Product Managers, and Engineers to diagnose portfolio trends, build monitoring frameworks, and deliver insights that inform how Cleo manages and optimises risk. You'll sit within the Risk & Payments pillar, working at the intersection of data, decisioning, and product, helping us build scalable systems that balance user access with sustainable economics. You'll be part of a growing team responsible for driving profitable growth while protecting the business from loss, using data to understand repayment behaviour, model performance, and system level trade offs. This is an opportunity to shape how we quantify and manage risk as we expand across new credit products and geographies. What You'll Be Doing 1. Credit & Risk Performance Analytics Write complex SQL/python to pull cohort and event level datasets from our warehouse and turn them into clear, decision ready analyses. Quantify the commercial impact of performance changes (losses, yield, approval rate) Design and analyse multivariate experiments on underwriting, pricing, or repayment flows, and translate results into actionable risk strategies Analyse arrears, default, and yield trends across Cleo's credit products. Identify emerging risks and shifts in eligibility or repayment behaviour using cohort and segmentation analysis. Build and maintain dashboards for portfolio health and performance tracking. Design early warning alerts for anomalies in arrears or model driven decisioning. 2. Model Understanding & Monitoring Partner with the Risk Modelling team to turn model health metrics (AUC, PSI, calibration, feature drift) into clear recommendations for policy or product changes. Monitor model stability and support investigations into concept drift and feature degradation. Quantify the impact of model changes and assess whether observed shifts are model or market driven. 3. Deep Dive Investigations Conduct root cause analysis on performance deteriorations (e.g., arrears spikes, yield compression). Own investigations from question analysis recommendation, and present your work to Risk, Product, and Leadership. Use decomposition, SHAP analysis, and driver frameworks to explain variance in loss and yield. Support the design and measurement of A/B tests or pilot changes in credit decisioning or repayment operations. 4. Forecasting & Scenario Support Partner with Finance and Commercial teams to support variance analysis and monthly forecast inputs. Model how shifts in repayment or eligibility rates flow through to portfolio loss and profitability. 5. Tooling, Frameworks & Collaboration Work with Analytics Engineering to improve risk data pipelines and metric definitions. Build reusable analysis templates and frameworks for monitoring across multiple credit products. Communicate insights clearly to non technical stakeholders, transforming complex findings into actionable decisions. About You Experience & Skills 4+ years analytics or data science experience in a risk focused role, ideally within fintech, lending, or payments Excellent SQL skills Fluency in Python (or R) for data analysis, modelling, and statistical testing Experience conducting large scale A/B experiments and interpreting results to drive product and business decisions Fluent in credit portfolio metrics - e.g. arrears buckets, roll rates, loss rate, yield/marginal loss - and how they tie to unit economics and P&L Hands on experience working with predictive models (e.g. credit, fraud, marketing), including interpreting metrics like AUC/Gini, calibration, PSI/CSI, drift Hands on experience with BI tools (e.g. Looker, Mode, Tableau) and data workflow tools (dbt, Airflow) Strong analytical rigour and the ability to translate findings into clear business recommendations Track record of taking analyses all the way through to shipped changes and measurable impact Nice to Have Exposure to credit risk or payments decisioning (eligibility, pricing, loss modelling, or fraud detection). Experience with model monitoring, feature engineering, or supporting ML deployment. Familiarity with US and/or UK consumer credit or payments regulations. What do you get for all your hard work? A competitive compensation package (base + equity) with bi annual reviews, aligned to our quarterly OKR planning cycles Work at one of the fastest growing tech startups, backed by top VC firms, Balderton & EQT Ventures. A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work. Work where you work best. We're a globally distributed team. If you live in London we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Other benefits (Can differ based on geographical location): Company wide performance reviews every 6 months Generous pay increases for high performing team members Equity top ups for team members getting promoted 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days) 6% employer matched pension in the UK Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in person We'll pay for your OpenAI subscription Online mental health support via Spill Workplace Nursery Scheme We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. UK App access: The Cleo app is no longer downloadable in the UK (but only until next year). If you're an existing user, you'll still have access to the app. But some features won't be available (just for a little while). Why? 99% of our users are based in the US - where financial health is often overlooked. We've decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most. Then we'll be able to apply what we learn to better support our UK users in the future.

Senior / Lead Data Scientist, Credit Risk Analytics Office: United Kingdom Remote: Portugal Spain UK About the company About Cleo At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast growing unicorn with over $300 million in ARR and growing over 2x year over year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. The role We're looking for a Lead / Senior Data Scientist to help us measure, monitor, and improve the performance of Cleo's credit products. This is a hands on data science and analytics role. You'll be analysing behaviour across millions of US users, using rich transactional and behavioural data that powers Cleo's AI money coach and credit products. You'll spend the majority of your time in SQL and Python, working directly from Cleo's data warehouse to understand, explain, and improve credit performance. This is not a traditional underwriting or policy role. You'll be the analytics owner for EWA / specific product, with direct line of sight to losses, revenue, and product roadmap. You'll work closely with other analysts, Risk Modellers, Product Managers, and Engineers to diagnose portfolio trends, build monitoring frameworks, and deliver insights that inform how Cleo manages and optimises risk. You'll sit within the Risk & Payments pillar, working at the intersection of data, decisioning, and product, helping us build scalable systems that balance user access with sustainable economics. You'll be part of a growing team responsible for driving profitable growth while protecting the business from loss, using data to understand repayment behaviour, model performance, and system level trade offs. This is an opportunity to shape how we quantify and manage risk as we expand across new credit products and geographies. What You'll Be Doing 1. Credit & Risk Performance Analytics Write complex SQL/python to pull cohort and event level datasets from our warehouse and turn them into clear, decision ready analyses. Quantify the commercial impact of performance changes (losses, yield, approval rate) Design and analyse multivariate experiments on underwriting, pricing, or repayment flows, and translate results into actionable risk strategies Analyse arrears, default, and yield trends across Cleo's credit products. Identify emerging risks and shifts in eligibility or repayment behaviour using cohort and segmentation analysis. Build and maintain dashboards for portfolio health and performance tracking. Design early warning alerts for anomalies in arrears or model driven decisioning. 2. Model Understanding & Monitoring Partner with the Risk Modelling team to turn model health metrics (AUC, PSI, calibration, feature drift) into clear recommendations for policy or product changes. Monitor model stability and support investigations into concept drift and feature degradation. Quantify the impact of model changes and assess whether observed shifts are model or market driven. 3. Deep Dive Investigations Conduct root cause analysis on performance deteriorations (e.g., arrears spikes, yield compression). Own investigations from question analysis recommendation, and present your work to Risk, Product, and Leadership. Use decomposition, SHAP analysis, and driver frameworks to explain variance in loss and yield. Support the design and measurement of A/B tests or pilot changes in credit decisioning or repayment operations. 4. Forecasting & Scenario Support Partner with Finance and Commercial teams to support variance analysis and monthly forecast inputs. Model how shifts in repayment or eligibility rates flow through to portfolio loss and profitability. 5. Tooling, Frameworks & Collaboration Work with Analytics Engineering to improve risk data pipelines and metric definitions. Build reusable analysis templates and frameworks for monitoring across multiple credit products. Communicate insights clearly to non technical stakeholders, transforming complex findings into actionable decisions. About You 4+ years analytics or data science experience in a risk focused role, ideally within fintech, lending, or payments Excellent SQL skills Fluency in Python (or R) for data analysis, modelling, and statistical testing Experience conducting large scale A/B experiments and interpreting results to drive product and business decisions Fluent in credit portfolio metrics - e.g. arrears buckets, roll rates, loss rate, yield/marginal loss - and how they tie to unit economics and P&L Hands on experience working with predictive models (e.g. credit, fraud, marketing), including interpreting metrics like AUC/Gini, calibration, PSI/CSI, drift. Hands on experience with BI tools (e.g. Looker, Mode, Tableau) and data workflow tools (dbt, Airflow) Strong analytical rigour and the ability to translate findings into clear business recommendations Track record of taking analyses all the way through to shipped changes and measurable impact Nice to Have Exposure to credit risk or payments decisioning (eligibility, pricing, loss modelling, or fraud detection). Experience with model monitoring, feature engineering, or supporting ML deployment. Familiarity with US and/or UK consumer credit or payments regulations. What do you get for all your hard work? A competitive compensation package (base + equity) with 3 annual reviews, aligned to our termly OKR planning cycles this is an AX3 or AX4 level role. AX3 banding: £74,266 - £96,126 Hybrid London or £69,699 - £90,657 UK Remote AX4 banding: £94,059 - £119,128 Hybrid London or £88,938 - £113,489 UK Remote Work at one of the fastest growing tech startups, backed by top VC firms, Balderton & EQT Ventures. A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work. Work where you work best. We're a globally distributed team. If you live in London we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Other benefits (Can differ based on geographical location): Company wide performance reviews every 4 months Generous pay increases for high performing team members Equity top ups for team members getting promoted 25 days annual leave a year + public holidays (plus an additional day for every year you spend at Cleo, up to 30 days) 6% employer matched pension in the UK Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in person We'll pay for your OpenAI subscription Online mental health support via Spill Workplace Nursery Scheme We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know.

The Role This role sits at the centre of how we turn commercial ambition into delivery reality. As Head of Business Analysis, you'll lead a high-performing BA function that shapes complex digital and commerce programmes from first principles through to execution. You'll work closely with senior stakeholders across clients, delivery, and technology to define problems clearly, align teams early, and ensure decisions are grounded in evidence, not assumption. You'll also be a core member of the Commerce Management Team, contributing to the collective direction, standards, and policies that shape how the business operates. This is not a purely operational role: you'll set direction, raise the bar on quality, and play a visible leadership role in how we think, plan, and deliver. There's real scope to influence ways of working, develop people, and leave the function, and the wider commerce practice, materially stronger than you found it. Accountabilities Lead the Business Analysis & Solution Consulting practice, setting clear standards, frameworks, and expectations that ensure consistently high-quality outcomes across commerce engagements. Build and develop a high-performing team, owning hiring, capability development, and succession, while fostering a culture of continuous improvement and professional excellence. Personally lead business analysis on selected high-complexity or strategically significant engagements, modelling best-in-class BA practice and bringing clarity where ambiguity or risk is high. Ensure client challenges are correctly framed and translated into effective commerce strategies and delivery roadmaps, aligned to commercial objectives and practical execution. Contribute as a member of the Commerce Management Team, jointly shaping direction, standards, and policies for the commerce practice. Use data and market insight to inform decisions, measuring impact through meaningful KPIs and identifying opportunities to improve client outcomes and practice performance. Responsibilities Act as a senior consulting partner to clients on selected engagements, supporting discovery, scope definition, and solution shaping. Support Account Owners in key client forums (e.g. QBRs, roadmap sessions), ensuring strategic alignment and clear communication across teams. Contribute to business development through pre-sales activity, pitches, and within existing accounts. Collaborate with partnership and marketing teams to improve internal enablement, solution knowledge, and external thought leadership. Represent the business externally through industry events and content where appropriate. Use data and market insight to inform decisions, measuring impact through meaningful KPIs and identifying opportunities to improve client outcomes and practice performance. What you'll get Our people make us who we are, so to make sure we attract and retain the best and brightest in the industry, we offer an attractive benefits package. We're the UK's first carbon neutral agency (a status we have held since 2018), with a serious commitment to monitoring and reducing the impact our work has on the planet across three core sustainability pillars of Greenhouse Gases, Waste & Recycling and Sustainable Consumption. Dynamicworking: Tokeep that work-life harmony in check,we'reflexible on where and when you work Private medicalinsurance: Tokeep you fighting fit and give you and your family peace of mind. Incomeprotection: Weknow it feels good to be covered, just in case. CalmSubscription: Nowmore than ever,it'simportant to mind your mind! 25 days annualleave: This increases to 27 days after three years with us, and then increases everysubsequentyear up to a max. of 30 days Christmasclosure: Noneed to save holiday days for the Christmas closure period.It'son us! Birthdaysoff: Oneextra day to celebrate your big day Summerhours: Between June and Aug we finish at 15.00 every Friday. Online coaching and mental healthsupport: Unlimitedvia OpenUp RemoteWorking: Workabroad for up to one month a year. Performance & Salary: Reviewed twice a year for everyone. Finally, we're proud and committed to being an equal opportunity workplace, providing equal opportunities for all and treating all existing employees and all job applicants in the same way, regardless of their age, disability, gender, gender reassignment, race, religion or belief, sexual orientation, pregnancy and maternity status and marital & civil partnership status.

Business Analyst Our client is a prominent organisation operating within the insurance sector, known for fostering a collaborative and professional culture that values expertise and continuous improvement. They are seeking an experienced Business Analyst to support change initiatives focused on Bordereaux and control management within General Insurance and the Lloyd's market. This role is vital in ensuring robust management controls, effective stakeholder engagement, and clear governance, enabling the organisation to maintain operational excellence and compliance. Role Overview The Business Analyst will facilitate requirements gathering, process analysis, and stakeholder collaboration to support Bordereaux-related change projects. The role involves translating complex business needs into clear documentation, performing GAP analysis, and supporting control frameworks, thereby ensuring the delivery of high-quality solutions aligned with business goals. Key Skills & Experience Proven Business Analyst experience within the insurance sector, particularly in General Insurance or Lloyd's market Demonstrable experience with Bordereaux processes and related data controls Strong GAP analysis skills and ability to define target-state solutions Senior stakeholder management experience, with confidence in influencing and challenging at all levels Excellent analytical, communication, and documentation skills Experience working in Agile, Waterfall, or hybrid delivery environments Key Responsibilities Lead requirements elicitation, documentation, validation, and sign-off of business needs Conduct GAP analysis of current versus future state processes, data, and controls Support Bordereaux data quality, validation, reconciliation, and reporting activities Assess and improve management control processes, including design, operation, and monitoring Facilitate stakeholder workshops, process mapping, and user story refinement Define and document business processes, operating models, and governance artefacts Support UAT planning, execution, and stakeholder communication Produce documentation such as BRDs/FRDs, process flows, data mappings, control matrices, and RAID logs Requirements Proven experience as a Business Analyst within the insurance industry, with specific General Insurance or Lloyd's market knowledge Strong understanding of Bordereaux and related controls Ability to perform GAP analysis and define future state solutions Senior stakeholder management skills Right to work in the UK and able to work on-site in London near Liverpool Street Nice to Have Exposure to Business Process governance and continuous improvement frameworks Experience with operational risk, audit, or compliance controls This is a contract position offering a competitive daily rate, with an immediate start possible. The work environment is primarily remote, with occasional travel to the London office. If you have relevant experience and are available for an immediate start, we encourage you to apply now.

Technical Business Analyst - Investment Platform Our client is a financial services organization based in the city of London, renowned for its innovative approach and collaborative culture. They focus on delivering transformative investment solutions and value team members who demonstrate ownership, initiative, and technical expertise. This role involves working across client-facing solution design, scoping, and delivery within a complex, platform-based environment, contributing directly to the enhancement of investment and wealth management platforms. The position offers the opportunity to work in a dynamic team where your contributions influence client outcomes and product development. Role Overview The Technical Business Analyst will serve as a key liaison between clients, business stakeholders, and engineering teams. The role involves gathering and challenging requirements, translating business needs into technical specifications, and supporting end-to-end solution delivery. This position ensures solutions are scalable, maintainable, and aligned with platform workflows, integrations, and data flows to support the organization's investment platform projects. Key Skills & Experience Experience as a Solutions Consultant, Functional Consultant, Technical Business Analyst, or similar role Strong ability to understand and break down complex systems and requirements into structured solutions Experience working with APIs, integrations, and data flows Knowledge of platform-based or complex system environments Familiarity with software delivery lifecycles and agile methodologies Exposure to tools such as Jira, Azure DevOps, or similar Ability to engage, challenge, and probe clients to understand requirements thoroughly Key Responsibilities Lead client discussions to gather and define requirements, shape solutions, and establish scope Facilitate workshops with stakeholders to refine requirements Convert business needs into clear functional and technical specifications for development teams Design end-to-end solutions, including architecture considerations and user journeys Manage scope, acceptance criteria, and stakeholder expectations Support solution implementation, ensuring outcomes meet client expectationsWork closely with engineering teams to ensure effective understanding and delivery of requirements Support integrations and data flows between internal systems and external client platforms Contribute to continuous improvement of delivery processes and ways of working Act as a key point of contact for senior stakeholders, providing clear recommendations and guidance Demonstrate a strong technical understanding and the ability to explain complex concepts clearly to non-technical stakeholders Requirements Proven experience in a client-facing solutions or delivery role Strong stakeholder management skills, particularly with senior clients Ability to shape solutions and define scope within complex systems Strong analytical thinking and attention to detail Comfortable working across both business and technical stakeholders Right to work in the UK and location in London Experience working in or familiar with investment or wealth management platforms Nice to Have Familiarity with SQL or data analysis for validation Exposure to tools such as Postman or similar API tools Knowledge of cloud environments like Azure Experience within fintech, banking, or asset management domains This is a permanent position offering an attractive benefits package, including pension contributions, private medical cover, life insurance, development allowance, and flexible working arrangements. The role requires a hybrid working environment with on-site presence in London once every two weeks. If you meet the criteria and are interested in this opportunity to shape investment platform solutions, please apply now.

Role Overview We are seeking an Information Security Analyst to join Orgvue's Information Security & Data Protection team. This role is suited to someone with early to mid-level experience who is looking to broaden their exposure across security operations, compliance, and product security in a SaaS environment. You will play an active role in maintaining Orgvue's security posture and certifications (ISO 27001, ISO 27018, SOC 2 Type II, CSA STAR), while supporting emerging areas such as AI governance and regulatory compliance. The role reports to the VP of Information Security & Data Protection, with day-to-day direction and mentorship provided by the Senior Information Security Analyst. Responsibilities Security Operations & Risk Management Monitor security events and alerts, investigating and escalating as appropriate Support incident response activities, including analysis, documentation, and follow-up actions Contribute to the continuous improvement of monitoring and detection capabilities Vulnerability & Risk Management Support and help operate the vulnerability management programme across application and infrastructure environments Track remediation activities with engineering and infrastructure teams Assist with internal risk assessments and supplier/vendor security reviews Compliance & ISMS Support the operation and continuous improvement of the Information Security Management System (ISMS) Contribute to maintaining compliance with ISO 27001, ISO 27018, SOC 2 Type II, and CSA STAR Assist with audit preparation, evidence collection, and internal audit activities Produce and maintain security metrics and reporting Product & Engineering Security Work with engineering teams to embed security practices into DevOps processes and CI/CD pipelines Support secure development practices aligned to OWASP principles Assist in remediation of penetration testing findings and security assessments Contribute to security reviews of application and infrastructure changes Customer Trust & External Engagement Support responses to customer security questionnaires, RFPs, and due diligence requests Assist in maintaining customer-facing security documentation and Trust Center content Help articulate Orgvue's security controls and practices to non-technical audiences Data Protection & AI Governance Support data protection activities aligned with GDPR and global privacy requirements Contribute to responsible AI practices, including documentation, transparency, and risk considerations Assist in identifying and managing risks related to data usage and analytics features Security Awareness & Culture Support delivery of security awareness and training programmes Help promote a strong security culture across the organisation Core Knowledge Goodunderstanding of ISO 27001 / ISO 27002 and practical ISMS implementation Familiarity with SOC 2, CSA STAR, and common control frameworks Good knowledge of cloud security (AWS and/or Azure) Understanding of identity and access management, encryption, logging/monitoring, and least privilege principles Awareness of modern SaaS security risks (e.g. multi-tenancy, data isolation, API security) Technical & Engineering Alignment Familiarity with secure software development and OWASP Top 10 Understanding of DevOps, CI/CD pipelines, and infrastructure-as-code environments Experience working with vulnerability management, scanning tools, or SIEM platforms (e.g. Datadog or equivalent) Risk, Compliance & Assurance Experience supporting audits or compliance programmes (ISO 27001, SOC 2, etc.) Experience conducting risk assessments and control evaluations Ability to translate technical controls into clear, customer-facing language Desirable Exposure to AI governance, data ethics, or emerging AI regulatory requirements Experience with Trust Centers or customer assurance functions Cloud certifications (AWS / Azure) Experience 2-4 years' experience in an information security or related role Experience in a SaaS or cloud-first environment preferred Experience working cross-functionally with engineering and product teams Exposure to customer-facing security or compliance activities is highly valuable Hybrid working - 2 days a week in the London office Wellbeing: Sanctus Coaching, Virtual fitness sessions, Wellbeing webinars, Annual Wellbeing day Subsidised Gym Membership Private Medical Insurance (including Dental and Vision) and Life Assurance 25 days holiday (increasing to 30 days at a rate of 1 extra day per year) Employer pension contribution of 5% of your gross salary, if you contribute a minimum of 3% Season ticket Loan Cycle to Work Scheme Annual Discretionary Bonus Benefits Hybrid working - 2 days a week in the London office Wellbeing: Sanctus Coaching, Virtual fitness sessions, Wellbeing webinars, Annual Wellbeing day Subsidised Gym Membership Private Medical Insurance (including Dental and Vision) and Life Assurance 25 days holiday (increasing to 30 days at a rate of 1 extra day per year) Employer pension contribution of 5% of your gross salary, if you contribute a minimum of 3% Season ticket Loan Cycle to Work Scheme Annual Discretionary Bonus

Technical Business Analyst - Investment Platform Our client is a financial services organization based in the city of London, renowned for its innovative approach and collaborative culture. They focus on delivering transformative investment solutions and value team members who demonstrate ownership, initiative, and technical expertise. This role involves working across client-facing solution design, scoping, and delivery within a complex, platform-based environment, contributing directly to the enhancement of investment and wealth management platforms. The position offers the opportunity to work in a dynamic team where your contributions influence client outcomes and product development. Role Overview The Technical Business Analyst will serve as a key liaison between clients, business stakeholders, and engineering teams. The role involves gathering and challenging requirements, translating business needs into technical specifications, and supporting end-to-end solution delivery. This position ensures solutions are scalable, maintainable, and aligned with platform workflows, integrations, and data flows to support the organization's investment platform projects. Key Skills & Experience Experience as a Solutions Consultant, Functional Consultant, Technical Business Analyst, or similar role Strong ability to understand and break down complex systems and requirements into structured solutions Experience working with APIs, integrations, and data flows Knowledge of platform-based or complex system environments Familiarity with software delivery lifecycles and agile methodologies Exposure to tools such as Jira, Azure DevOps, or similar Ability to engage, challenge, and probe clients to understand requirements thoroughly Key Responsibilities Lead client discussions to gather and define requirements, shape solutions, and establish scope Facilitate workshops with stakeholders to refine requirements Convert business needs into clear functional and technical specifications for development teams Design end-to-end solutions, including architecture considerations and user journeys Manage scope, acceptance criteria, and stakeholder expectations Support solution implementation, ensuring outcomes meet client expectationsWork closely with engineering teams to ensure effective understanding and delivery of requirements Support integrations and data flows between internal systems and external client platforms Contribute to continuous improvement of delivery processes and ways of working Act as a key point of contact for senior stakeholders, providing clear recommendations and guidance Demonstrate a strong technical understanding and the ability to explain complex concepts clearly to non-technical stakeholders Requirements Proven experience in a client-facing solutions or delivery role Strong stakeholder management skills, particularly with senior clients Ability to shape solutions and define scope within complex systems Strong analytical thinking and attention to detail Comfortable working across both business and technical stakeholders Right to work in the UK and location in London Experience working in or familiar with investment or wealth management platforms Nice to Have Familiarity with SQL or data analysis for validation Exposure to tools such as Postman or similar API tools Knowledge of cloud environments like Azure Experience within fintech, banking, or asset management domains This is a permanent position offering an attractive benefits package, including pension contributions, private medical cover, life insurance, development allowance, and flexible working arrangements. The role requires a hybrid working environment with on-site presence in London once every two weeks. If you meet the criteria and are interested in this opportunity to shape investment platform solutions, please apply now.