337 jobs found

慨正橡扯 in Greater London is seeking a candidate for a role focusing on AI model risk management and validation of credit rating models. The ideal candidate should have over 10 years of experience in model development and validation, and a strong academic background in a quantitative field, preferred with a post-graduate degree. The position requires proficiency in programming and a solid understanding of financial products and markets. Successful candidates will demonstrate exceptional organizational skills and the ability to communicate complex ideas clearly.

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets. A deep understanding of AI model risk management, including risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance. Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization. The ability to articulate complex ideas fluently and clearly. Proficiency in programming languages such as R, Python, MATLAB, and SQL, with the ability to work within an established code base. Knowledge of C++ programming is preferred. Previous experience in model validation and development, particularly in areas such as credit risk, counterparty credit risk, or market risk is necessary. Candidates should be adept at handling model validation assignments with minimal supervision. 10+ years of experience in model development, validation, and risk analytics is necessary. Build and nurture relationships: Inspire and encourage team members to build strong, collaborative relationships. Provide timely feedback and coaching: Offer constructive feedback and coaching to help team members optimize their potential. Role-model growth mindset: Foster innovation and advance the team's evolution by demonstrating a growth mindset. Encourage agile thinking and adaptability within the team. Translate strategy into actionable goals: Ensure the team focuses on critical priorities by setting clear, actionable goals. Establish a compelling vision: Provide clear direction and a compelling vision for the team to follow. Create a culture of trust: Honor commitments and treat everyone with respect to build a culture of trust. Highly organized, efficient, and detail-oriented, demonstrating a high level of accuracy in their work. Possesses excellent organizational skills, capable of multitasking and prioritizing work effectively within a team environment. The ability to work under tight deadlines, manage time efficiently, and maintain focus is essential. Candidates should be capable of working both independently and collaboratively, with strong English written and spoken communication skills. Education A strong academic background in a quantitative field such as mathematics, artificial intelligence, physics, economics or engineering or a program focused on quantitative discipline is essential, with a preference for candidates holding a post graduate degree. Responsibilities The role involves validating models, scorecards and agents used in the context of credit rating activities across asset classes as well as AI model risk management and development. In addition to solid traditional model validation skills and experience, the successful candidate will provide in-depth knowledge and expertise in Generative & Agentic AI. Execute and lead independent validation reviews of credit rating models, scorecards, including hands on assessment of inputs, assumptions, conceptual soundness, performance, and limitations. Lead AI model risk management activities end to end, including identification, assessment, and mitigation of risks specific to GenAI and agentic AI. Design and deliver complex validation analyses, including model replication, challenger development, sensitivity testing, benchmarking, and ad hoc quantitative investigations. Own validation outputs end to end, from test plan design through clear, concise validation reporting and effective challenge of model developers. Develop AI model risk management capability within MRG, mentoring validators, developing GenAI and Agentic AI expertise, and actively contributing as a subject matter expert across analytical and methodology teams. Drive rigorous execution standards and culture, promoting effective challenge, continuous improvement, and practical application of model risk frameworks and policies. About the team The MRG Quantitative Review team independently reviews and validates quantitative models and scorecards that support credit ratings. It notably assesses whether these tools are conceptually sound, appropriately calibrated, and fit for purpose, and that they operate in line with approved methodologies and governance standards. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Who We Are We are a rapidly growing start-up, backed by leading venture capitalists. We love information because it helps people make better decisions and drives innovation. The information economy is just getting started and our suite of information and data processing software products are starting to help people unlock the true power of information. Our journey starts in finance and capital markets where information moves trillion dollar markets, but this is just the beginning.Read a spotlight on Intropic here. Join us to help the world unlock the true power of information. Who We Look For We are looking for individuals who not only possess strong technical and analytical skills but also have an entrepreneurial spirit and want to make an impact. We're looking for top-tier talent, driven innovators and problem solvers to join our 2026 internship program - a unique opportunity to work across a spectrum of disciplines. If you have founded your own venture, built a product from the ground up, or launched an ambitious project during your studies, we want to hear from you! You are a full-time STEM, Economics or Finance undergraduate or masters student who is eligible for an internship role in 2026, with possibility to convert to full time after the internship. Have experience programming in Python, C/C++, Java and/or experience with statistical analysis, numerical programming, or machine learning in Python, Pandas, R. Are an ambitious entrepreneur with a track record of exceptional intellectual achievement. Are a self starter, comfortable taking initiative and working independently in a past faced and dynamic environment. Have excellent analytical and problem-solving skills (quantitative prowess), and exceptional cognitive agility. Have the ability to grasp complex topics and apply knowledge across various disciplines. Have intellectual curiosity & ability to get deep into the details to solve tough problems. Are a creative collaborator who thrives in constantly evolving and changing environments. Have experience founding or leading a major project with end to end responsibility at university. Have proven leadership or team management in a university project, startup, or other entrepreneurial initiative. Have excellent written & oral communication skills. Have a passion for financial markets and a passion for using technology to solve real world problems. What you'll be doing This internship program is designed to help you develop skills in either client facing roles, financial research, and/or building technical solutions. All candidates who are successful in the process will be assessed and placed into an area of expertise based on their unique skillset, for the duration of the 10 week program. We'll work together to help you find the area where you can excel. Regardless of the area you focus on, a core understanding of capital markets and financial research is essential. You will be expected to deliver work with a high degree of independence. You will be involved in debugging Python, deploying infrastructure changes, talking to product early-adopters, and strategic planning with the product team leads. You will be developing REST APIs, data processing pipelines, python libraries, and deploying production-quality code, as well as maintaining and monitoring production systems. You will be contributing to the provision of technical support and consultation, including exposure to resolving client issues, capturing underlying business implications of client queries and helping to feed this information into Intropic product development cycle. Analysing and improving client contact regarding queries and assistance provided. Supporting client use of research functionality. Assisting with workflow testing of bespoke solutions developed by Intropic for clients. Gaining a deeper understanding of business reasons for client product enhancement requests. Liaising between the various interested parties (Client, Account management, Engineering teams) to interpret/clarify requirements as necessary to facilitate the successful development and delivery of the bespoke projects. You are expected to be a team player and an excellent cross-departmental communicator, with the ability to communicate to both technical and nontechnical audiences. Involved in the presentation of the vision, value proposition, and development progress to business leadership, sales, engineering and our client stakeholders. Why Join Us This 10 week internship will offer you the opportunity to experience a dynamic, multi-disciplinary role where no two days are the same. You will be working with a diverse group of smart, passionate, and entrepreneurial thinkers who will help you grow and refine your skills, providing you with opportunities that will unlock your potential. Please note that we do not provide immigration sponsorship for this position. This internship is on-site at our offices in 30 Churchill Place, E14 5RE, London.

Fully funded 4 year PhD - Machine Learning and child mental health - Birmingham AI for good: Using machine learning to improve psychological wellbeing for children and adolescents with BERRI University of Birmingham, School of Computer Science Do you know anyone that wants to do a PhD in machine learning/AI who cares about social impact and wants to use their skills to improve child mental health? I'm the field supervisor for a new PhD at Birmingham University using BERRI data to look at a number of interesting research themes, using applied machine learning and neuroscience. The academic supervisors are Professor Peter Tino (computer science) and Dr Stephane de Brito (psychology). It is a four year, fully funded opportunity with a stipend starting at £19,237 (this is what you take home, it isn't taxed like a salary) plus all the fees are covered. This PhD project aims to validate the efficacy of the BERRI tool in identifying early neurodevelopmental and mental health markers in children and adolescents, potentially predictive of adverse outcomes later in life. By leveraging machine learning techniques, the research seeks to elucidate the trajectory of symptom profiles over time and explore strategies for effectively mitigating identified risks across clinical, educational, and community settings. You will spend at least one day per week within the clinical psychology team at BERRI, whilst the rest of your time will be university-based and focused on the research strands that will lead to papers for publication and your PhD thesis. More info here: Note: This isn't designed to be a career step towards clinical psychology. This is a computer science PhD, so it requires someone with strong quantitative skills (eg a graduate in computer science, maths, statistics, physics or engineering), who can use advanced statistical software and preferably already program in at least one language.

About the Role: Grade Level (for internal use): 09 Application Deadline: 25th July, 2026 Program Overview: When you join S&P Global Ratings, you join one of the world's leading providers of independent credit risk research and benchmarks. You are part of a team that produces high quality fundamental research based on established criteria. Our CREDit Graduate Program is a two-year training and development opportunity with our next intake joining us in September 2026. CREDit Program Analysts are hired for a specific practice; however, you are expected to transition between practices as dictated by business demands. In your first year CREDit analysts focus on acquiring skills and knowledge from your home practice. In your second year CREDit analysts gain exposure to other practices through a mix of classroom training and small projects or short-term secondments. All analysts combine practical work experience with the completion of a relevant qualification. For example, this could be the CFA. The Practice: When you join S&P Global Ratings, you join one of the world's leading providers of independent credit risk research and benchmarks. You will be part of a team that produces high quality fundamental research based on established criteria, you have the opportunity to ask probing questions to senior corporate executives, and interact with the global investor community. With offices in 26 countries, rating $47.5 trillion in debt, and with nearly 1,400 credit analysts, S&P Global Ratings is an important part of the world's financial infrastructure and has played a leading role for more than 150 years in providing investors and financers the information they need to more easily, quickly and efficiently provide capital to businesses and governments. The Business Practice Groups include: Corporates, Public Finance, Financial Institutions, Structured Finance, Sovereign and International Public Finance, and Infrastructure. This position will be with our Government team within our Sovereign and International Public Finance practice. Key Responsibilities: Conduct credit and recovery analysis for various companies and services provided to corporate, institutional, and governmental clients, ensuring accuracy and attention to detail. Evaluate the creditworthiness of organizations, focusing on their ability to meet financial obligation. Provide timely and precise quarterly financial statistical and data analysis, demonstrating strong organizational skills. Assist in reporting, research, and presentation development, leveraging analytical skills to support research and analysis. Collaborate with the team on execution improvements and ad-hoc writing projects, fostering a collaborative and inclusive work environment. Utilize AI technologies to analyze large datasets and derive actionable insights, integrating them into existing analytical frameworks. What We're Looking For: Required Qualifications and Experience: Completion of a minimum undergraduate degree by August 2026, with a strong academic record. All majors welcome, including Accounting, Business Administration, Engineering, Economics, Finance, Math, Public Policy, Quantitative Analysis, Data and Statistics. Proficiency in Excel and other Microsoft Office products (Word, Outlook, PowerPoint), demonstrating the ability to handle data and presentations effectively. A proactive mindset and adaptability, essential for thriving in a dynamic environment influenced by advancements in artificial intelligence and technology. Intellectual curiosity, with a keen interest in learning and applying new knowledge in credit analysis. Ability to conduct independent analysis and research, showing initiative and resourcefulness. Strong relationship building skills, emphasizing collaboration and effective communication with team members. Strong storytelling skills, able to take complex data insights and turn them into engaging narratives that resonate with and inform our stakeholders. Demonstrated problem solving, time management, attention to detail, and organizational abilities. Fluency in English and the primary language of the hiring location. All employees are required to work from the office a minimum of 2 days per week. We require all candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global Ratings office. This must be completed before we can proceed to an offer. Additional Preferred Qualifications and Experience: Familiarity with AI technologies or tools, including Machine Learning Algorithms, Natural Language Processing Tools, and/or Robotic Process Automation, reflecting a forward-thinking approach. Right to Work Requirements: This role is limited to persons with indefinite right to work in the country where this job has been posted for. Please note no visa sponsorship is available for the position. About S&P Global Ratings At S&P Global Ratings, our analyst

London - Junior Consultant, Data Science & Marketing Effectiveness Multiple Start Dates available for July-September 2026 Start Date £40,500 + Bonus + benefits. Ekimetrics is a leader in Marketing Effectiveness, Data Science and AI-powered solutions. We are one of the world's largest independent analytics and consulting firms, pioneering the use of AI and advanced data science for over 16 years. Our goal: Combine high-impact AI and data science solutions for long-term sustainable business performance Key figures about Eki 400 data science experts globally 1000+ diverse projects for more than 350 clients 5 offices: Paris, Hong Kong, London, New York & Shanghai $1 billion in profits generated for our clients 7000 tons of CO2 prevented by our clients in 2022. UK data company of the year 2023 Shortlisted Best STEM company to work for Women 2024 Voted Great Place to Work 2023 Voted as a leader in "Marketing Measurement and Optimisation" by Forrester Wave 2023. Here in the UK, at our London-based office, we engage across four business offerings: MMM (mixed market modelling), customer analytics, data science transformations, and AI4 sustainability. We have clients across multiple industries such as retail, consumer goods, luxury fashion, insurance, banking, private equity, tech partners and many more. About the Role As a Junior Consultant, this is an exciting opportunity to develop a dual profile - The data scientist and strategic consultant. You will be working on challenging data science projects with international clients across multiple industries, building bespoke marketing analytics solutions to answer our clients' key questions. What you'll be doing as a Junior Consultant: Apply econometrics using data science and AI for business problems. Understand clients' business context and collaborate in a fast-paced environment. Work on Marketing Mix Modelling (MMM) and Customer Analytics projects end-to-end, from gathering and analysing data to building statistical machine learning models and delivering presentations. Work on 1-3 projects across global markets and industries such as retail, consumer goods, luxury fashion, insurance, banking, private equity, tech partners and many more. Contribute to Ekimetrics R&D to support the development of new methodologies and build data Engineering/Architecture capabilities in the office. Contribute to Eki.Life culture initiatives, well-being and help drive our CSR commitments This is a great opportunity to join a growing, international pioneer in data science that will empower you to have an immediate impact from the beginning. At Ekimetrics, we thrive on accelerating growth for ambitious individuals. A Junior Consultant can expect to develop significantly in a short period while consistently delivering exceptional, high-quality results for our clients. About You Ekimetrics is seeking individuals who can wear 2 hats - the data scientist and the strategic consultant. You will most likely be a recent graduate with internship experience or early in your professional career. What you need to succeed: A degree in economics or a similar analytical field (e.g. econometrics, statistics, mathematics, or other quantitative degrees like Engineering, Data Science, etc.) Prior experience (academic or professional) in data analysis/ modelling / advanced analytics or ML. Experience with programming languages such as Python or R - we use Python at Eki. Capacity to work and learn quickly in a fast-paced environment. Exceptional written and oral communication skills. Interest in Data and Marketing to make an impact for businesses Ability to work within an inclusive and diverse team to deliver innovative solutions. A passion for joining a small team and a keen interest in personal learning and development. Demonstration of behaviours that support our values: Curiosity, Creativity, Excellence, Transmission, and Pleasure. Additional Requirements: Must be able to work on-site a minimum of 2 days a week in London, UK (Hybrid) Good sense of humour! Working for Eki Working for Ekimetrics is a lot of fun! Our London team is growing (65+people). We come from all over the world, have varied experiences and passions, and all contribute value to Ekimetrics' success. As well as an opportunity to join a driven, energetic, and highly innovative team, we also offer the following: Competitive Compensation + individual & company y bonuses Continuous Learning and development opportunities with Eki.Academy, training programs and certifications Hybrid working (Minimum 2 days a week in the office) 20 days a year Work from Anywhere 25 days annual leave (+ Bank Holidays + additional days for tenure) Private healthcare, life insurance, critical illness cover, and professional wellbeing support services Group pension scheme An emphasis on work-life balance and a strong company culture Eki. Anniversary gifts for every year of service Opportunities to develop a dual profile in data science and strategic consulting. Opportunities for international mobility Cycle to Work Scheme Wellbeing support, Gym and retail discounts & 50% off runners need! At Ekimetrics, we believe our best assets are our people - they are what set us apart and drive our success. We encourage entrepreneurial spirit and innovation. We share what we know with others, and, above all, we love what we do. These sentiments are supported by our company values which serve as pillars in our work and attitude. Follow our Ekimetrics' values: Curiosity, Creativity, Excellence, Transmission and Pleasure. Ekimetrics is an equal opportunities employer committed to making all employment decisions without regard to race, ethnicity, gender, pregnancy, gender identity or expression, creed, religion, nationality, age, disability, marital status, sexual orientation, military veteran status, current employment status, or any other legally protected categories, subject to applicable law. £40,500 - £47,000 a year Individual performance bonus + company performance bonus Interview process Online Hacker rank - May contrain Python coding HR interview Assessment with a consultant Case study Assessment Final interview with a ManagerWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Ranked in 2024 by the Financial Times, Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly. Our mission is to enable financial happiness for every African, everywhere. About the role: We're looking for a Data Scientist to sit at the heart of how we fight fraud, building the models, experiments, and detection systems that protect millions of customers and merchants across our platform. This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats. We are looking for a data-driven, intellectually curious Data Scientist who is energised by hard problems in fraud and financial crime. You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem, partnering closely with engineers, product managers, and analysts to turn your work into production grade systems. Responsibilities: Model Development: Prototype, evaluate, and help productionize machine learning models for fraud detection; own their ongoing monitoring and retraining cycles. Experimentation: Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction. Risk Assessment: Size fraud typologies across our product lines to inform prioritisation and investment decisions. System Maintenance: Build and maintain anomaly detection systems to surface novel fraud vectors before they scale. Cross Functional Collaboration: Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations. We would love to hear from you if A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar) 5+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime Hands on experience building and deploying machine learning models in a production environment, fraud, risk, or financial services experience is a strong plus Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering Proficiency in Python and SQL; comfort working across the full model development lifecycle An investigative instinct, you enjoy digging into data to find patterns others miss The ability to communicate technical findings clearly to non technical stakeholders and translate insights into action Comfort working in fast paced, cross functional teams with high ownership expectations What we can offer you Culture: We put our people first and prioritise the well being of every team member. We've built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. Learning: We have a learning and development focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. Compensation: You'll receive an attractive salary, pension, health insurance, monthly bonuses, plus other benefits What to expect in the hiring process A preliminary phone call with the recruiter An interview with a business lead Technical take home task (SQL/Python test and case study) A behavioural and technical interview with the Head of Data Science and a member of the executive team Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

JOB DESCRIPTION We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within Quantitative Execution Strategies Tech, you are an integral part of an agile team that works to enhance, build, and deliver trusted market leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for building critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Team Overview The QES (Quantitative Execution Strategies) infrastructure supports the execution of cross markets intraday trading strategies. It is a large growth area for JP Morgan's markets franchise, and will see significant additional investment over the next year to further our excellence in the business. The team's responsibility includes the design, build and support of the platform. The work requires close collaboration with our front office partners from sales, trading and quantitative research. Job Responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads communities of practice across Software Engineering to drive awareness and use of new and leading edge technologies Acts as a front office developer within the QES technology team Collaborates closely with front office teams (trading, structuring) to support the QES platform Develops platform and visualization components required by the desk Utilizes principal technologies such as Java, Python and TypeScript (React) within the team Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and proficient advanced experience Hands on practical experience delivering system design, application development, testing, and operational stability Advanced in Python programming language Excellent analytical skills (i.e. problem solving) Experience in leading an agile delivery team leveraging scrum, sprint planning, retrospectives and reporting progress to senior stakeholders Preferred Qualifications, Capabilities, and Skills Experience of working in a front office environment within financial services Knowledge of Java, Python, Typescript, React ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Your growth matters to us - explore our career development opportunities. BE EMPOWERED TO SUCCEED Connect with others in our people-first culture and enhance our collective ingenuity. SUPPORT YOUR WELLBEING Learn how we'll support you as you pursue a balanced, fulfilling life. YOUR CANDIDATE JOURNEY Discover what to expect during your journey as a candidate with us. Do you find yourself constantly looking for more and better information? Do you want a job where you can use your knowledge and research skills to improve national security? Never has the role of an all-source analyst been so meaningful. More connected devices, larger storage capacity, and faster connections has resulted in an explosion of available information. The problem facing the intelligence community (IC) is no longer how to get more data, it's understanding how to turn the data they have into answers. That's where you come in. With critical thinking and flexibility, you'll analyze cyber activities and provide all-source intelligence analysis and assessments for the cyberspace domain. If you have excellent analytical expertise and a problem-solving mindset, we have an opportunity to use those skills to support our warfighters, protect our national security, and inform our nation's leaders. As an all-source cyber analyst on our team, you'll provide senior-level intelligence analysis and production, perform research, evaluation, and deconfliction, and author finished intelligence products as part of a critical national security mission to help your client understand their mission environment, including the 5th domain and cyber. You'll validate the information and apply client tradecraft as you build assessments for strategic and operational missions. You'll share your expertise with other analysts through leadership and mentoring. We focus on growing as a team to deliver the best support to our customers, so you'll have resources to grow your expertise, learn new skills and tools, and share your met hodologies with other analysts. Join us as we provide the right information at the right time to support the critical needs of our nation's warfighters and leaders. Join us. The world can't wait. You Have: 4+ years of experience as an all-source analyst supporting military intelligence or cyberspace operations Experience with behavioral aspects of cyber threat actor capabilities and intents Experience in the U.S. IC Experience with IC analytical writing and final analytical products Knowledge of cyber int rus ion vectors, malware, networking, and monitoring Knowledge of commonly used IC databases and tools Ability to produce all-source intelligence products, incorporating open-source and classified information to identify and comprehend cyber threats from available data sources TS/SCI clearance Nice If You Have: Experience briefing senior personnel both in-person and virtually Experience with the integration of DoD and IC support capabilities Experience with exercise support Knowledge of overall cyberspace trends, analysis, and operations related to computer network defense within the DoDIN and national-level communities Knowledge of qualitative and quantitative met hodologies and developments in academia or other fields that affect tradecraft met hodology Knowledge of the European AOR Ability to identify and collect data from disparate sources, analyze and extract key data and information, evaluate and monitor data quality, identify patterns and trends, and offer ways to improve functionality, processes, and analytic met hods Possession of excellent verbal and written communication skills Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. All-Source Cyber Analyst The Opportunity: Do you find yourself constantly looking for more and better information? Do you want a job where you can use your knowledge and research skills to improve national security? Never has the role of an all-source analyst been so meaningful. More connected devices, larger storage capacity, and faster connections has resulted in an explosion of available information. The problem facing the intelligence community (IC) is no longer how to get more data, it's understanding how to turn the data they have into answers. That's where you come in. With critical thinking and flexibility, you'll analyze cyber activities and provide all-source intelligence analysis and assessments for the cyberspace domain. If you have excellent analytical expertise and a problem-solving mindset, we have an opportunity to use those skills to support our warfighters, protect our national security, and inform our nation's leaders. As an all-source cyber analyst on our team, you'll provide senior-level intelligence analysis and production, perform research, evaluation, and deconfliction, and author finished intelligence products as part of a critical national security mission to help your client understand their mission environment, including the 5th domain and cyber. You'll validate the information and apply client tradecraft as you build assessments for strategic and operational missions. You'll share your expertise with other analysts through leadership and mentoring. We focus on growing as a team to deliver the best support to our customers, so you'll have resources to grow your expertise, learn new skills and tools, and share your met hodologies with other analysts. Join us as we provide the right information at the right time to support the critical needs of our nation's warfighters and leaders. Join us. The world can't wait. You Have: 4+ years of experience as an all-source analyst supporting military intelligence or cyberspace operations Experience with behavioral aspects of cyber threat actor capabilities and intents Experience in the U.S. IC Experience with IC analytical writing and final analytical products Knowledge of cyber int rus ion vectors, malware, networking, and monitoring Knowledge of commonly used IC databases and tools Ability to produce all-source intelligence products, incorporating open-source and classified information to identify and comprehend cyber threats from available data sources TS/SCI clearance Bachelor's degree Nice If You Have: Experience briefing senior personnel both in-person and virtually Experience with the integration of DoD and IC support capabilities Experience with exercise support Knowledge of overall cyberspace trends, analysis, and operations related to computer network defense within the DoDIN and national-level communities Knowledge of qualitative and quantitative met hodologies and developments in academia or other fields that affect tradecraft met hodology Knowledge of the European AOR Ability to identify and collect data from disparate sources, analyze and extract key data and information, evaluate and monitor data quality, identify patterns and trends, and offer ways to improve functionality, processes, and analytic met hods Possession of excellent verbal and written communication skills Master's degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs . click apply for full job details

Responsibilities Manage and optimise the bank's overall credit risk exposure by monitoring, analysing, and reporting on the creditworthiness of its lending portfolio. Monitor the financial performance and risk profile of the lending portfolio, including individual borrowers, sectors, and geographic regions. Analyse credit trends, identify early warning signs of potential borrowers' issues, and assess the impact of economic and market developments on the portfolio. Develop and utilise quantitative models and risk forecasting tools to measure and predict potential credit losses. Perform portfolio stress testing exercises to assess the impact of various economic and market scenarios on the portfolio's risk profile. Define and set portfolio, segment and customer risk appetite, policy and limits. Advise key stakeholders, including functional leadership teams and senior management on functional and cross-functional areas of impact and alignment. Requirements Experience interrogating large data sets, identifying trends/risk/opportunities, and managing teams who do so. Credit risk & Affordibility experience Understanding of FCA regulations Experience translate analysis into clear proposals Experience in managing risk and controls Experience in leadership, managing multiple senior stakeholders Experience in credit risk - portfolio management Understanding of credit models Core Competencies Demonstrates expertise in credit risk management, including portfolio analysis, quantitative modeling, and stress testing. Proficient in advising stakeholders and translating complex data insights into actionable proposals while ensuring compliance with FCA regulations.

Lead Data Scientist - Network Investment Planning & Optimisation Location: London (Hybrid) Reports To: Head of Data Science About Virgin Media O2 Virgin Media O2 (VMO2) is one of the UK's largest telecommunications providers, connecting over 46 million customers across mobile, broadband, and TV. We are delivering one of the largest investments in UK digital infrastructure in a generation, allocating hundreds of millions of pounds annually to build the networks of the future-including ultrafast fibre and next-generation 5G. To power this massive capital investment, we are leveraging cutting-edge AI, machine learning, and mathematical optimisation to ensure every pound is invested where it can deliver the maximum benefit. About the Role We are looking for a Lead Data Scientist to join our Network Investment team. In this role, you will be the technical lead driving the design, development, and deployment of optimisation and predictive planning tools that shape our capital investment strategy. You will lead a high-performing team of data scientists to build intelligent, automated models that simulate rollout scenarios, and forecast and optimise their impact on key business measures. This is a unique opportunity to act as both a hands on technical expert and a mentor to a talented team, working on high-impact problems that directly shape the physical connectivity of the UK. Key Responsibilities Lead & Mentor: Act as the technical lead for a team of data scientists. Provide mentorship, steer project architectures, and champion high standards for clean, reproducible, and production grade code. Modelling, Forecasting and Optimisation: Design and implement models to simulate our networks and forecast how our customers use them and the service quality they will receive. Leverage these to solve crucial business planning problems. End-to-End Delivery: Own the lifecycle of data science projects from discovery to deployment. Work as part of a cross functional team leveraging Python, dbt, and GCP (Vertex AI, BigQuery) to build robust pipelines. Stakeholder Collaboration: Partner closely with Network stakeholder to translate complex commercial constraints into data science problems and the solutions to those problems into tangible impact. Storytelling & Impact: Distil highly technical modelling outcomes into clear, visual, and actionable insights for senior leaders and executives making multi million pound investment decisions. What We Are Looking For (Requirements) The Must-Haves: Educational Background: Master's degree or PhD in a highly quantitative field or equivalent commercial experience. Technical Leadership: Experience leading or mentoring data scientists, setting technical direction, and managing the end-to-end delivery of analytical products. Proven Problem-Solving Record: Proven track record of using mathematical, ML and software techniques to solve industrial problems and deliver business impact. Modern Tech Stack: Advanced proficiency in Python (pandas, NumPy, scikit-learn) and SQL. Communication: Exceptional ability to explain complex technical concepts, algorithmic trade-offs, and probabilistic outputs to non-technical business partners. Nice-to-Haves: Mathematical Optimisation: Background in Operations Research, with hands on experience using optimisation solvers (e.g., Gurobi, Google OR-Tools) to solve real world problems. Domain Knowledge: Prior experience in the Telecommunications, Utilities, Logistics, or Infrastructure sectors. Cloud & MLOps: Experience developing and deploying production-grade models in cloud environments.

Digital Solutions Business Analyst, Wealth and Private Credit Additional office locations London Permanent - Full time, Mid-level Job category Our Digital team is at the forefront of our digitalisation strategy, driving future scalability and unlocking operational efficiencies, while upholding our risk standard and improving the experiences of our colleagues and clients. Our teams help to unlock these strategic benefits by defining, delivering and embedding digital solutions across our value chain, working in partnership with key stakeholders across the business. We are a global financial services group operating in 30 markets with 57 years of unbroken profitability. At Macquarie, you're empowered to shape a career that is fulfilling and creates value. You will bring your insights and expertise to the task at hand and feel supported as you make your own kind of impact for a better future. What role will you play? As a VP Business Analyst, you will be responsible for gathering and interpreting requirements, analysing business processes, identifying risks and opportunities, and collaborating on solutions that drive measurable business impact and transform the way we work. Working closely with our growing Wealth and Private Credit businesses in London and colleagues across the wider Data, Digital, Design and Engineering team, you will identify and prioritise solutions to optimise our portfolio modelling capabilities as we transition from Excel to more robust digital solutions. Your role will involve documenting solutions with a focus on key data flows, innovation of portfolio composition, capabilities for managing investment risk and liquidity risk, and ensuring a positive client and employee experience. What you offer Proven experience as a Business Analyst, supporting analytical and quantitative teams, ideally working as part of a product team in a scrum environment Prior experience in the financial services sector or a similarly regulated field, with a risk mindset. Experience in Private Assets is advantageous Experience implementing digital solutions, particularly those aimed at improving operational efficiencies and modelling multi-asset portfolios Advanced analytical and problem-solving skills, with a self-starter approach and growth mindset Excellent communication and presentation skills, capable of engaging a wide range of internal and external stakeholders Prior exposure to working in cross-disciplined teams and global timezones is also beneficial What we offer At Macquarie, you're empowered to shape a career that's rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include: 1 wellbeing leave day per year and a minimum of 25 days of annual leave. 26 weeks' paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks' paid leave for secondary caregivers Paid fertility leave for those undergoing or supporting fertility treatment 2 days of paid volunteer leave and donation matching Access to a wide range of salary sacrificing options Benefits and initiatives to support your physical, mental and financial wellbeing including, comprehensive medical and life insurance cover Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription Access to company funded emergency and backup dependent care services Recognition and service awards Hybrid and flexible working arrangements, dependent on role Reimbursement for work from home equipment About Macquarie Asset Management Macquarie Asset Management is a leading global asset manager, trusted by institutions, individuals and communities to responsibly manage $A720 billion in assets. MAM provides clients with a diverse range of investment solutions that seek to deliver superior risk-adjusted returns. All figures as at 30 September 2025, excluding assets acquired by Nomura on 1 December 2025. Inclusion at Macquarie We are committed to providing an inclusive environment for all, where different experiences, skills and perspectives are valued and respected. Macquarie provides access to opportunities for all individuals regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio-economic background. We provide reasonable adjustments to individuals who may need support during the recruitment process and employment. If you require an adjustment, please let us know during the application process.

Data Scientist Job Title: Data ScientistType: Fix Term ContractWork Pattern: Hybrid (2-3 days per week in officeSector: Data Science Machine Learning Advanced Analytics Duration: 06 MonthsPay: £500 to £750 per day Inside IR35 Location: Welwyn Garden City and London About the Role We are seeking a talented Data Scientist to develop and deploy machine learning solutions that directly influence business decisions, enhance customer experiences, and improve operational efficiency. You will be responsible for translating complex business challenges into scalable data science solutions, building and deploying robust machine learning models, and delivering measurable business impact. Working closely with Machine Learning Engineers, Software Engineers, Product Teams, and Business Stakeholders, you will help develop production-ready solutions that drive innovation and performance across the organisation. This is an excellent opportunity for a data professional who combines strong technical expertise with commercial awareness and a passion for solving real-world business problems through data and advanced analytics. Key Responsibilities Design, develop, and deploy machine learning models to solve complex business challenges. Translate business requirements into practical data science solutions. Build scalable data pipelines and end-to-end machine learning workflows. Conduct experimentation, model evaluation, and performance analysis using both statistical and business success metrics. Work with large-scale datasets in distributed computing environments. Collaborate with Machine Learning Engineers and Software Engineers to productionise models and ensure operational excellence. Identify opportunities to improve business processes through advanced analytics and machine learning techniques. Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders. Stay current with emerging trends, tools, and methodologies within Data Science and Machine Learning. Contribute to internal knowledge sharing initiatives and promote best practices across the wider data community. Support the development of innovative solutions that deliver measurable business value. Required Skills & Experience Strong foundation in Machine Learning, Statistics, and Data Science methodologies. Extensive experience developing and implementing machine learning models using Python. Proven experience working with large-scale datasets and distributed computing frameworks. Experience taking machine learning solutions from concept through to production deployment. Strong software engineering practices, including: Version control (Git) Code testing and validation Writing maintainable and reusable code Hands-on experience developing, tuning, and deploying machine learning models using frameworks and libraries such as: Scikit-learn XGBoost TensorFlow PyTorch Equivalent machine learning frameworks Strong analytical and problem-solving capabilities with a scientific and data-driven mindset. Ability to translate complex technical concepts into clear business recommendations. Excellent communication and stakeholder management skills. Preferred Qualifications Master's degree, PhD, or equivalent qualification in a quantitative discipline such as: Mathematics Computer Science Statistics Engineering Physics Related fields Equivalent commercial experience within a Data Science role will also be considered. Personal Attributes Intellectual curiosity and a passion for continuous learning. Critical thinking and evidence-based decision making. Strong collaboration and teamwork skills. Commercial awareness and a focus on delivering business impact. Proactive approach to innovation and continuous improvement. Commitment to knowledge sharing and contributing to a high-performing team culture. Why Apply? Work on large-scale, real-world machine learning and analytics challenges. Develop production-grade data science solutions with measurable impact. Collaborate with experienced engineers, data scientists, and business leaders. Gain exposure to diverse business domains and complex datasets. Play a key role in shaping data-driven decision-making across the organisation.

Senior Data Management Professional - Data Engineer - Commodities Data Location: London Business Area: Data Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes. Our Team The Commodities Data team is looking for a highly experienced Senior Data Management Professional to help lead the next generation of our data platform. This role requires a strong data engineering foundation combined with deep ownership of data quality, where quality is built directly into pipelines, systems and architecture rather than managed as a separate function. This role is designed for a top tier individual contributor who thrives in complex environments and consistently delivers high impact, scalable solutions. The Role You will be responsible for designing and evolving data systems that power Tier 1 datasets, improving reliability, reducing technical debt and modernizing legacy workflows. This includes building advanced ETL pipelines, implementing intelligent automation and developing robust data quality controls and monitoring frameworks to ensure data accuracy, completeness and timeliness. In addition, you will play a key role in defining and delivering the data quality vision for our datasets. This includes evolving fit for purpose quality metrics, understanding how clients consume data across Bloomberg products and aligning data with both client needs and Bloomberg's commercial strategy. You will also influence data governance practices and lifecycle management across teams to ensure long term data integrity and scalability. You will collaborate closely with Product, Engineering and domain experts to define and execute on strategic data initiatives. In addition to hands on development, you will act as a technical leader within the team by owning end to end solutions, influencing architecture decisions and mentoring others. We are looking for someone who operates at a high bar of technical excellence, takes ownership of both data systems and data quality outcomes, and uses modern technologies including AI and machine learning to enhance data workflows and extract additional value from our datasets. We'll Trust You to: Build and maintain highly scalable, resilient and observable data pipelines supporting critical Commodities datasets Modernize legacy workflows, reduce technical debt, and improve performance, reliability, and maintainability. Design automated pipeline controls for validation, monitoring, schema change, exception handling, and data integrity. Develop workflow orchestration, alerting, observability, and remediation processes. Translate business and client needs into engineering ready requirements and scalable technical solutions. Partner with Engineering on platform evolution, architecture, tooling, system design, and reliability. Apply automation, AI, machine learning, or statistical techniques to improve ingestion, enrichment, validation, and monitoring. Own data migrations, workflow redesigns, and technical transformation initiatives. Establish standard methodologies for pipeline design, code quality, testing, documentation, version control, and operational handover. Influence data modelling, metadata, lineage, and lifecycle management practices from a technical implementation perspective. Mentor team members and set the standard for technical execution, design thinking, and engineering rigor You'll need to have: A bachelor's degree or above in Statistics, Computer Science, Quantitative Finance or other STEM related field or degree equivalent qualifications 4+ years of experience designing and building scalable data solutions, ETL pipelines, data workflows, and monitoring frameworks. Strong hands on experience with Python or similar programming/scripting languages. Experience with querying structured, semi structured, and unstructured datasets. Experience with workflow orchestration, observability, monitoring, alerting, and scalable architecture design. Ability to analyze, refactor, and modernize legacy systems. Strong understanding of data lifecycle management, data integration, data modelling, data profiling, and data governance. Experience building automated controls and reliability frameworks into data pipelines. Strong communication skills with the ability to collaborate across Data, Engineering, Product, Vendors, and other stakeholders. We'd love to see: Bloomberg Terminal, BQL, Enterprise, or Bloomberg data workflow experience. Experience productionizing AI, machine learning, anomaly detection, NLP, classification, or LLM assisted workflows. Experience with cloud platforms, CI/CD, automated testing, version control, metadata management, lineage, or modern DataOps practices. Project management experience with Agile delivery, backlog management, JIRA, or similar tools. CDMP certification, or progress toward it, is a plus. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Job Type: Permanent Build a brilliant future with Hiscox As a Principal Data Scientist at Hiscox, you will be an integral part of a dynamic technical team, strategically focused on leveraging data science across our diverse business functions. While your expertise will be pivotal in transforming our underwriting capabilities, your influence will extend across the entire insurance value chain, championing a multi-disciplinary approach to complex problem-solving. You will lead the end-to-end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You'll be a key driver in defining and upholding technical standards, ensuring the development of robust, scalable, and high-quality solutions that enable fast, impactful delivery to stakeholders. Beyond project leadership, you will act as a crucial mentor and coach, fostering technical growth and expertise among junior and mid-level colleagues, elevating the overall capability of the team. Crucially, you will collaborate extensively with other disciplines to ensure a holistic view is considered, facilitating smooth delivery and maximising business value. Key Responsibilities: Utilise industry standards, emerging methodologies, and empirical research to develop critical business inputs and assist leaders in innovating their approaches. Technically lead the end-to-end delivery of our most complex data science initiatives, encompassing: Strong understanding of intricate business challenges and translation into technical problem statements. Working with diverse datasets, both internal and external. Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering best practices, elevating technical standards, and cultivating advanced skill development within the team. Engage closely with other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. A background in data science within finance or insurance is advantageous but not required. Demonstrated capacity for independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical growth of the team. Strong understanding and practical experience with Agile development methodologies and software engineering best practices (e.g., version control, comprehensive testing, modular code) relevant to data science product delivery. Ability to articulate complex technical findings and methodologies into clear, concise, and actionable insights for diverse audiences, effectively influencing technical and non-technical stakeholders to drive data-driven decision-making and solution adoption. Demonstrable experience collaborating effectively with cross-functional teams (e.g., engineering, product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real-world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices. Work with amazing people and be part of a unique culture

Cloud Technical Lead - Marlow, London or Glasgow, UK, Hybrid We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more. About the job As a vital member of the SAS Cloud team within the Cloud and Information Services (CIS) division, you will contribute to the management and delivery of hosted and remotely managed SAS application environments. Your role will involve close collaboration with customers, analysts, developers, and implementation teams to ensure the delivery of world class SAS services. Drawing on your advanced technical expertise, you will provide leadership, guidance, and hands on support throughout customer engagements-from initial implementation and configuration through to production release and operational deployment. Working alongside a SAS Cloud Customer Success Manager, you will help navigate technical challenges and establish performance metrics that align with customer success criteria. Your contributions to documentation, automation, and knowledge sharing will empower global teams to respond swiftly and effectively to operational incidents. You will also play a key role in mentoring and training team members, sharing best practices in enterprise application technology, architecture, and support. Collaboration with global R&D, Product, Technical Support, and CIS teams will be essential to maintaining high levels of customer satisfaction and service quality across all managed environments. In addition, you will lead initiatives aimed at enhancing quality, efficiency, and automation in service delivery. A strong commitment to continuous improvement and a proactive mindset will be critical to success in this role. As a Cloud Technical Lead you will: Lead hosted and remotely managed customer projects from kickoff through UAT and go-live, ensuring smooth execution and technical oversight throughout the lifecycle. Provide expert consultation for major post-deployment changes such as upgrades and migrations, and help resolve complex, recurring issues to maintain system health. Define and validate technical requirements to avoid project delays, enhance system stability and monitoring, and ensure adherence to SAS Cloud standards and best practices. Act as a SAS Administrator for high complexity or urgent tasks, configure and debug mid tier software, manage container based applications, and develop tools for SAS and third party software. Apply IT Service Management best practices for change, incident, and problem management, while creating and maintaining service documentation including runbooks, knowledge base articles, and wiki content. Exceptional customer service with a customer first mindset, working directly with clients and coordinating with support teams and vendors to ensure satisfaction. Sharing Facilitate knowledge transfer across the team, sharing expertise on customer engagements and key technologies to foster continuous improvement and team growth. Works with global customers and teams, managing workload and diary commitments to support planned technical activities, major customer events, and exceptional operational requirements that may occasionally occur outside core business hours. Ensure all applicable security policies and processes are followed to support the organization's secure software development goals. Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do. Required qualifications Experience writing programs in more than one language required. Two years of experience in end user and system administrator consulting or providing other first-level consulting required. Bachelor's degree in a quantitative field, such as Computer Science, Information Technology, or related field. (or equivalent qualification) Fluent in English Proof of right to work in the UK is required to be considered for the role Ability to hold or be eligible to obtain UK Secuirty Clearance (SC or higher) Previous technical experience in at least 4 of the following: Experience of SAS Administration or support Experience in AWS and/or Azure Experience in Kubernetes Experience in systems support, user support, customer support, consulting, or training for enterprise class software and/or hardware Experience with UNIX or Linux supporting enterprise class applications Experience with managing customers and their expectations Experience managing large commerical IT cloud systems Equivalent combination of related education, training and experience may be considered in place of the above qualifications. Additional competencies, knowledge and skills Building Customer Loyalty:Meeting and exceeding internal or external customer expectations while cultivating relationships that secure commitment and trust. Creating a Service Reputation:Designing and implementing service practices that meet customers' and own organization's needs; responding quickly to resolve difficult customer situations and regain customer confidence. Work Standards: Setting high standards of performance for self and others; assuming responsibility and accountability for successfully completing assignments or tasks; self-imposing standards of excellence rather than having standards imposed. SAS Coding CI/CD You are welcome here. At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Additional Information: SAS only sends emails from verified email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact . Let's stay in touch! Join our Talent Community to stay up to date on company news, job updates and more.

Job Description We Are Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. Visit us at: The Role NBA decisioning and marketing automation are becoming critical battlegrounds for clients in telco, media, and financial services - where the volume of customer interactions is high, the cost of a wrong decision is real, and the advantage of getting it right is significant. Rules-based systems and legacy platforms are being challenged by purpose-built, AI-driven solutions. Whilst the outcome of this challenge isn't immediately clear we need someone who can navigate the complex set of options, define, design and optmise solutions for our clients. This is a strategy & delivery role. You will define strategic direction, design solutions, and lead the optimisation of decisioning frameworks and automation solutions for major clients. You bring deep expertise in NBA logic, data science, and decisioning architecture - and the consulting capability to turn complex challenges into working solutions. You look at a decisioning problem, ask what outcome we need, what data we have, and what model will work best design it and coordinate delivery with our offshore and client teams. You spot issues before they become problems, raise them, and solve them. Proactively, not reactively. When something is unclear, you create clarity. When something is broken, you fix it. What You Will Do Decisioning & Data Science Design and implement NBA/NBO decisioning frameworks - eligibility rules, suppression logic, propensity score integration, offer prioritisation, and arbitration Operationalise propensity models, uplift models, CLV scores, and churn predictions into live decisioning frameworks Use value-based decisioning logic - incorporating CLV and long-term customer value into prioritisation, not just short-term conversion Measurement frameworks and optimisation Define feature engineering requirements - knowing which signals, triggers, and contextual features drive predictive power in decisioning Architect real-time decisioning solutions integrating with CRM, CDP, and data platforms Advise on technology selection - purpose-built vs platform, capex vs opex - with a forward-looking point of view Automation & Activation Design automated customer journeys across email, push, SMS, in-app, and web personalisation Design trigger-based, event-driven automation flows that respond to customer behaviour in real time Design integrations with marketing, commerce and service platforms to close the loop between model scores and actions Ensure automation is scalable, auditable, and aligned with consent and data governance requirements Delivery & Leadership Lead technical workstreams end-to-end - from design through to live deployment - owning the outcome throughout Define data input requirements for decisioning and drive data quality issues before they become delivery problems Design end to end decisioning solutions Translate model outputs and complex logic into language non-technical stakeholders can understand and trust Mentor junior team members and build decisioning capability across the practice Contribute to business development - shaping proposals and demonstrating technical credibility in client conversations What You Will Bring Required 5+ years in a decisioning, data science, marketing technology, or customer analytics delivery role Hands-on experience designing and delivering NBA/NBO solutions in a commercial environment Deep understanding of decision logic: suppression, fatigue management, prioritisation, and arbitration Experience with using one or more platforms in a decisioning solution - Pega CDH, Salesforce Marketing Cloud, Adobe Target/AEM/Campaign, Braze, Iterable, or purpose-built solutions Strong working knowledge of predictive modelling for decisioning: propensity, churn, CLV, uplift, and incrementality Experience designing statistically valid champion/challenger and multivariant tests and holdout methodologies Ability to critically evaluate model performance in a business context Experience designing measurement frameworks that prove genuine incremental value SQL proficiency; Python or R for data exploration, model validation, and decisioning diagnostics Hands-on automation experience - trigger-based journeys, event-driven architecture, consent management Solution-oriented and proactive - you define the path forward, raise issues early, and drive progress without being pushed Consulting or client-facing delivery experience is a strong advantage Exposure to GenAI applications in decisioning - personalised content generation, AI-driven offer selection Preferred Experience evaluating purpose-built decisioning solutions and contributing to capex/opex business cases Familiarity with real-time streaming technologies in a decisioning context Awareness of data clean rooms and privacy-preserving analytics for audience targeting Bachelor's or Master's degree in a quantitative, technology, or business-related field Who You Are You are a technical specialist who solves problems and delivers outcomes. You have spent enough time in decisioning systems - the data pipelines, the model outputs, the business logic, the edge cases - to know what makes them work in practice, not just in theory. When a client brings you a challenge, you do not wait for someone else to frame the solution. You get into the data, form a hypothesis, and start moving. You are solution-oriented in the most practical sense: focused on the outcome, not the process. If the approach is not working, you say so and bring an alternative. If the data is not fit for purpose, you define what needs to change and drive that conversation. You take full ownership - if a decisioning framework is underperforming, you diagnose it; if stakeholders are misaligned, you get them aligned. You care about whether it works, not just whether it was built. What's in it for You Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include: 30 days of leave per year plus 3 extra volunteering days for charitable work of your choice Family-friendly and flexible work policies Attractive pension plan with financial wellbeing support and resources Private healthcare insurance plan and Mental Wellbeing support Employee Assistance Programme, Career Development and Counselling A range of generous Parental Leave offerings SNGCR01 Qualification Required - Technical Skills Advanced Python - writing clean, production-grade code, not just scripts (OOP, async, packaging, testing) Generative AI & LLM development - prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks - LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning - model development, training, evaluation, and deployment APIs & backend development - FastAPI, REST APIs, microservices architecture Vector databases & embeddings Cloud platforms - Azure GCP, or AWS; deploying and managing AI/ML workloads at scale Version control & MLOps - Git, CI/CD pipelines, model versioning, monitoring in production Data handling Required - Experience & Mindset Demonstrated end-to-end delivery: problem > build > deployed solution > iteration Strong experience with Generative AI in production - not just experimentation A track record of building working solutions, not just prototypes or proofs of concept Hands-on experience with LLM tooling (Claude, GPT-4, Gemini, or equivalent) Strong analytical and problem-solving skills - you debug fast and think in systems Comfortable working with messy, incomplete requirements and driving clarity through action English fluency and comfort working in global, cross-functional teams Preferred Experience with NLP, computer vision, or multimodal AI models Knowledge of AI safety, guardrails, and responsible AI practices in production Familiarity with Snowflake, Databricks, or similar data platforms Prior experience acting as an AI champion or innovator within a larger organisation Consulting or client-facing delivery experience Bachelor or Master degree in Computer Science, Data Science, Engineering, or related field Key Competencies Solution oriented mentality - sees a problem, starts building, ships, improves Experimental mindset - runs fast tests, learns from failure, iterates without ego Strong execution and delivery orientation Advanced AI engineering and Generative AI expertise Collaborative team player Curiosity and commitment to continuous learning 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 . click apply for full job details

Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Synthesia is moving from a single product to a multi-product platform, and research is about to become one of the pillars that determines whether we get that transition right. You'd be joining as our first full-time UX researcher, working directly with product, design, and engineering on the bets that will define what Synthesia looks like over the next few years, including a new real-time, agentic product where we're figuring out an entirely new modality as we build it. This is a Senior IC role. You'll own research end-to-end and shape how the function itself takes form. Why now We've validated the appetite for research. Persona and jobs mapping shaped the first version of our newest product, and there's a strong pull from PMs, designers, and leadership for more. What we don't have yet is a full-time researcher who can operate across the whole product portfolio. The next six months contain some of the highest-stakes decisions we'll make: how the assistant experience should evolve, what drives adoption of the new product, and how we activate users in their earliest moments. Research should be shaping the direction on all three. What you'll be doing Running a combination of strategic and tactical qualitative research across our product portfolio, from generative discovery through evaluative studies on live product experiences Holding a macro view of where research can create the most leverage, and moving fluidly between product areas based on where your expertise is most needed Building out a participant panel and ReOps practices so recruiting stops being a bottleneck, and shaping the light research operations we need as we scale Influencing how PMs, designers, and leadership frame problems. This role has a real thought leadership and change management element, and pure execution won't be enough Partnering closely with our Product Data team; you'll bring the qualitative depth alongside their quantitative work, together forming the insight backbone that feeds into product and exec decisions Presenting findings to executives and shaping decisions at the top of the company Coaching designers and PMs on lightweight research practice where it's the right call Who you are You've been the only researcher on a technical team before, or something close to it. You're comfortable defining your own priorities, negotiating what to work on, and translating fuzzy strategic questions into research that actually moves decisions. You're a qualitative researcher at heart, but you're fluent with data, comfortable reading it, comfortable building a survey when one is called for, and comfortable pushing back when a number is being over-interpreted. You know when to reach for a method and when to reach for a conversation. You've navigated the delicate parts of B2B research, recruiting customers without stepping on Sales relationships, running studies with users who are also account contacts, and building trust that lets you keep going back to the well. You can hold your own with executives. You're direct, you form views, and you bring people along with clear thinking rather than volume of output. You may be a good fit if you bring Significant experience as a UX or product researcher, ideally including time as the only researcher on a team B2B SaaS experience is strong plus, though we'll relax this for someone exceptional Strong qualitative toolkit across strategic and evaluative research, with the ability to build and run your own surveys when needed Experience with, or a strong instinct for, research operations, especially participant recruiting and panel building Comfort influencing senior stakeholders and shaping the direction of a team, not just its outputs A pragmatic view of AI in research practice. You use it where it earns its place, and you're not precious about tooling Understanding of the inherent usability and product challenges found in AI-native products Even if you don't tick every box, do apply anyway. Location London, flexible, hybrid role from our office nr Great Portland St Station. Our culture At Synthesia we're passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Global benefits: You will be compensated well with a generous salary and equity. You get 25 days of annual leave + local holidays. Regular team offsites where you'll get to collaborate with the product & engineering team in person. Work from home budget Work from anywhere policy of 60 days per year Generous referral scheme Enhanced parental leave - maternity leave includes 16 weeks at full pay, and paternity leave includes 5 weeks at full pay (if your country's government scheme offers more generous support, you receive whichever is greater - our enhanced policy or the local statutory benefit) Benefits specific to UK: Private healthcare via AXA for you with a discount for dependants 5% pension match Team lunches Tuesday-Friday in the office