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Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom

Senior Gas Analyst Department: Fundamentals & Consolidated Views Employment Type: Permanent - Full Time Location: London Reporting To: Mike Coffin Description Energy Aspects has an exciting opportunity for an experienced energy analyst to join our Long-term and Transition team as a subject matter leader based in London. This is a fantastic role for an intellectually curious, analytically rigorous thinker. If you are passionate about the future of energy systems and the implications of long-term trends on market dynamics and can clearly and effectively communicate these insights to clients, we want to speak with you. This position leads our long-term analysis of gas fundamentals and markets into the 2030s and beyond and will shape our views on demand from key sectors, the pace of adoption of new technologies and LNG trade patterns. The role works in partnership with long-term power and oil specialists to deliver compelling numerical and written analysis on the future of global energy markets to our clients. Previous experience in natural gas is desirable but not essential though successful candidates will be expected to demonstrate a clear understanding of energy supply and demand fundamentals and how these are modelled. Knowledge and interest in key energy transition themes, such as industrial electrification, coal to gas switching, hydrogen and LNG trade, is essential. In the role, you will develop and maintain models using diverse datasets, and assist in the design, creation and testing of econometric models that forecast supply and demand in global energy markets under different conditions. You will be responsible for both numerical and written outputs to our clients from day one, including writing research notes and contributing to our regular Energy Outlook. You will be expected to communicate complex information effectively to an audience with varying technical backgrounds, alongside responding to client queries. All team members are encouraged to build their professional reputation within the industry through client interactions and are supported by some of the most highly-regarded energy sector commentators. Our analysts pride themselves on consistently producing work at the high standard expected by our demanding client base and work as required to produce valuable insight. We are meticulous about the quality of our end-product and you will need to share this commitment. To succeed in this role, you must be able to work independently and be capable of planning and prioritising to achieve success. In exchange, we offer excellent remuneration and a high-performance culture with challenging and exciting work. Key Responsibilities Developing models of long-term gas demand, giving due consideration of technology- and policy-related energy transition themes. Balancing demand with piped gas supply and LNG trade across global gas markets and forecasting long-term LNG prices for key benchmarks. Delivering high-quality, original research products, including written notes and reports that provide insightful and actionable analysis for our clients. Collaborating with power and oil analysts to develop consistent cross-commodity global market views on the energy transition, covering both medium- and long-term trends. Engaging with short-term focused Gas, LNG and Power teams to ensure alignment across our research products. Producing presentation material for clients and participating in client presentations and workshops. Responding to client queries on gas / LNG, as well as supporting queries on the wider Long-term and Transition Service. Establishing a network of industry contacts and experts. Skills, Knowledge and Expertise Proven experience as an energy analyst. In-depth understanding of key economic concepts. Fundamental modelling experience (building and maintaining complex models, working with statistical tools and regression modelling). Excellent technical written skills, preferably including writing reports for a non-technical audience. Strong analytical and data-handling skills, including being able to select and use the most appropriate software and techniques for a task. The ability to meet deadlines and work effectively with others, including colleagues in different time zones, to deliver timely analysis is critical. Strong presentation skills to effectively communicate analysis to clients. High attention to detail in both handling data and written English. Desirable skills Fundamental understanding of global gas and LNG markets, including regional dynamics. Experience of Upstream gas development/production, and other demand sectors (e.g. petrochemicals, shipping). Python programming skills. Experience of scenario analysis. Econometrics modelling experience (Eviews or similar package). European language skills. Benefits Welcome to our unique workplace where a passion for our industry-leading product sits at the heart of who we are. Life at EA is completely eclectic, fostered through the global nature of the business and a real appreciation of the many cultures of our diverse team. We unite as a single, cohesive team through an array of social clubs that cater to a spectrum of interests, from running and yoga to football and culinary adventures. These groups create a collegial and dynamic atmosphere that extends beyond work, promoting a healthy and balanced lifestyle for our team. Our strategically located offices are all set in prestigious buildings, offering you the convenience of nearby gyms, retail therapy, diverse dining options, and accessible public transport. Our office spaces are thoughtfully equipped to enhance your day-to-day experience whether working independently or collaborating with teammates. Enjoy the simple pleasures of a freshly brewed coffee, healthy snacks, and a social space for celebratory moments. One of the unique traits of life at Energy Aspects is the way our international colleagues often delight us with treats from around the globe. It's safe to say you'll never go hungry in our offices! We recognize your contribution with a competitive compensation package that includes annual bonuses, comprehensive private health insurance, and substantial pension contributions. Additionally, we offer company share options, subsidized gym memberships, and a generous holiday policy to support your financial and personal well-being. Join a company that values your professional growth and personal fulfilment, all within a supportive and engaging environment.

ABOUT US Looking to join an emerging leader in the UK FinTech industry? It's such an exciting time to be joining Vitesse! Created by a team of proven FinTech entrepreneurs in 2016, Vitesse PSA has recently closed a $92m Series-C funding round. Now having established revenue streams and a differentiated position in key segments we have embarked on a journey to double our revenue in each of the next three to four years. We employ around 180 colleagues across the EU with hubs in London and Rotterdam, with plans to expand into the US this year. In 2024, we plan to scale our product and platform engineering team further to take advantage of the market opportunity across Europe and position us to enter the US. Our existing solution allows us to operate one of the largest domestic banking and payment networks in the world, from our UK regulated business, giving our customers direct access to more than 100 countries' banking networks, supporting over 60 currencies. Through a single integration, merchants gain access to in-country payment routing, resulting in significantly lower payment costs and much faster delivery. To date, we have processed over £3bn across more than 3 million transactions and are looking to more than double volumes each year. We have paired this network with treasury capabilities to create a compelling offering targeted at the insurance vertical. We now need to rapidly scale-out our engineering capability to build a global version of this platform that supports multiple regulatory hubs and points of origination. The Product Owner's mission is to lead a high-performing squad, working closely with a Business Analyst and an Engineering Lead, to deliver market leading claims data, reporting, notifications, and reconciliation capabilities. Your role is to ensure clients have the right information, in the right place, at the right time, empowering them to make better decisions and drive operational efficiency. We're looking for a commercially aware, client facing Product Owner with the curiosity and drive to become a subject matter expert in claims data and insights. By understanding client needs, regulatory requirements, and operational workflows, you will craft a clear vision for a smarter, more transparent claims information ecosystem and lead your engineers to bring that vision to life. You will define and prioritize the product roadmap, turning complex data and operational requirements into actionable features. By collaborating with internal stakeholders and directly with strategic Vitesse customers, you will ensure that data insights, reporting, notifications, and reconciliation features combine into an effective and actionable information flow, helping clients operate efficiently and confidently. RESPONSIBILITIES Own the product vision and backlog for claims data & insights, reporting, notifications, and reconciliation capabilities Define, prioritize, and refine epics, features, and stories to deliver an information flow for clients that distinguishes signal from noise, and allows them deliver operational efficiencies in their business Partner closely with your BA and Engineering Lead to translate requirements into well scoped deliverables and guide the engineering team through successful execution Build deep SME knowledge in claims data and date insights, reporting standards, operational workflows, and regulatory requirements Engage directly with clients, internal stakeholders, and ecosystem partners to validate concepts, gather feedback, and ensure solutions meet real world needs Navigate complex change management across internal and external stakeholders, ensuring alignment and smooth delivery of features Break down long term goals into incremental releases that deliver value early, accelerate feedback, and enable continuous improvement Assess business, operational, and regulatory impacts of changes and plan pilots and rollouts with internal teams and clients Communicate updates clearly to clients and internal teams, ensuring successful adoption of new features Track post launch performance using KPIs, measure impact, and iterate to optimize product value Collaborate with other Product Owners to ensure alignment, consistency, and maximum impact across the broader product portfolio WHAT YOU NEED TO SUCCEED 5+ years' experience as a Product Owner or in a similar role, with strong experience in data, data visualization, reporting, notifications, or reconciliation systems-ideally in Insurance or Financial Services Commercially aware, with the ability to understand the business impact of product decisions and drive outcomes that support strategic objectives Strong client facing skills, able to engage stakeholders, gather feedback, and translate needs into actionable product requirements Highly analytical, structured, and data driven, with experience turning complex data sets into meaningful insights Solid understanding of claims processes, operational workflows, and regulatory requirements within the insurance industry is highly desirable Working knowledge of Agile development practices Collaborative team player with excellent interpersonal skills to work effectively across squads, stakeholders, and global teams Proactive and hands on, with a mindset for improving processes, features, and ways of working Self driven and accountable, able to prioritize effectively and deliver tangible results in complex, fast moving environments What We Offer: 25 days Holiday per year (increasing by 1 day per years' service, up to 30 days) + Bank Holidays Product & Tech quarterly in person workshops. Contributory pension scheme. Enhanced parental leave. Cycle to Work Scheme. Private Medical Insurance with AXA. Unlimited access to Oliva, our Mental Health Therapy partners. Discounted Gym membership through Gym pass. Financial Coaching with Octopus Wealth. 2 days of volunteering leave per year. 1-month unpaid Sabbatical after 5 years' service. Life Assurance - MetLife (UK employees only). We value learning and will help you with your personal development where we can - from constant exposure to new challenges to regular internal and external training. We understand that everyone has their own work rhythm and believe in a flexible working schedule - at Vitesse you're expected to work 35 hours a week. When you need a break, you have 25 days of paid holiday that you can use throughout the year. Vitesse at our best - our values Confident Humility We don't do ego and we know that unless we all win, none of us win. We admit when we're wrong, ask for help and always think about the wider business before ourselves. Driven to Succeed We see the opportunity ahead of us and we won't stop until we fulfil the potential we know we have. We hold ourselves to high standards and deliver high quality outcomes for Vitesse and our customers. Tenacious Responsibility We take ownership for our actions and decisions, and face into the challenges that come our way. We are committed to seeing things through to completion, even in the face of adversity. We are an Equal Opportunity Employer We commit to creating an inclusive environment that enables everyone to perform at their best, where we recognise the rights of all individuals to mutual respect and where there is an unbiased acceptance of others. Our policies and practices aim to promote an environment that is free from all forms of unlawful or unfair discrimination and values the diversity of all people. At the heart of our policy, we seek to treat people fairly and with dignity and respect. If you require any interview adjustments please contact Clara Moretti-Parker at .

Overview Location: London Other locations: Primary Location Only Date: 7 Oct 2025 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Senior Manager - Data Engineering - Databricks Architect London/ Edinburgh The opportunity The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently looking for an exceptional Senior Manager to lead on developing our Data Engineering Capability with an initial focus on Databricks. This is a senior architecture role and will require an individual with an exceptional track record of delivering data transformation programs in the Financial Services sector. The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. We provide expertise and delivery in three core areas which all work closely together: Data Architecture & Engineering - Focusing on next generation data solution architecture design and implementation Data Management & Strategy - Supporting our clients with Data Strategy, Data Governance Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also help them design and implement modern data visualisation and reporting solutions Your key responsibilities Lead the design and implementation of scalable data architecture solutions using Databricks on Azure. Architect and optimize data pipelines for structured and unstructured financial data, ensuring performance, reliability, and compliance. Demonstrate prior experience in standing up and operationalizing Databricks platforms, including workspace setup, cluster configuration, and CI/CD integration. Lead and execute large-scale lift-and-shift data migrations from legacy platforms to Databricks, ensuring minimal disruption and high data fidelity. Collaborate with cross-functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake, Apache Spark, and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish best practices for data governance, lineage, and metadata management within the Databricks environment. Translate business needs into robust data products that support real-time decision-making and predictive modeling. Lead performance tuning, cost optimization, and security hardening of Databricks on Azure. To qualify for the role, you must have A track record of delivering large Databricks data transformations & appropriate Databricks industry certifications A deep understanding of Financial Services to develop the right AI, Data and Analytics solutions to meet their needs Experience of building high performing teams and exceptional leadership and interpersonal skills Deep understanding of the emerging technology trends including adoption of cloud-based technologies and advance data technologies with a clear perspective on where the market is going. Ability to successfully deliver across multiple engagements, exceed client expectations, manage commercial aspects and manage quality and risk Ability to engage with senior stakeholders and manage large cross functional projects Intellectual strength / flexibility to rapidly understand complex problems and rationalise these into workable solutions which can then be delivered Exceptional storytelling, communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients. Previous consulting experience will be greatly valued A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates who may have followed an alternative academic path. What we look for We are looking for highly motivated individuals who are passionate about AI, Data and Analytics and want to assist clients to become truly data driven organisations. If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead in a large practice and work in the most complex of sectors our AI & Data team is looking forward to hearing from you. What working at EY offers We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now. EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance Please note: Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. We ask because it matters! EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Select how often (in days) to receive an alert: EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

Principal Product Manager - Insurance and Asset Owners EMEA page is loaded Principal Product Manager - Insurance and Asset Owners EMEAlocations: London Officetime type: Full timeposted on: Posted Yesterdayjob requisition id: R11184We are seeking an Insurance and Asset Owner Product Leader for EMEA, who can establish a strategy and execute to drive growth in our core middle and back-office market ranging from Insurance to Pensions and Corporates. As a Product Lead, you will also play a critical role in scaling our products to address the needs of key industries and asset classes.This is an exceptional opportunity for a seasoned professional with experience building financial technology software who wishes to be a business and product leader alike. You will partner very closely with the Sales, Client Services and Operations leaders in EMEA to drive revenue growth and unit economics, support client success with increasing NPS/CSAT. You will also implement the high-level road map of new and existing product lines by collaborating with functional product leaders while also driving the EMEA specific product strategy.You will report to the Global Head of Product for Insurance and Asset Owners and will be responsible for identifying market opportunities, developing product strategy to address those opportunities, executing on product roadmap and supporting go-to-market (GTM) motions. Responsibilities: Conduct market analysis across front, middle and back-office (FBO) applications. Collaborate with sales and CS leaders to build a consensus on the market opportunity, competitive landscape, alternatives, and barriers to CW solutions adoption in the market. Assess Clearwater products fit by market and client segments and build a clear and differentiated product strategy with investment needs and growth projections. Document replacement grade functionality requirements. Build trust and confidence with current and prospective Customers. Be the voice of the customer and ensure there is alignment of asks from the customer with items on the roadmap. Develop a comprehensive EMEA product strategy and roadmap that is validated with clients and aligned with current CW functional product capabilities. Collaborate closely with engineering, marketing, sales and client delivery leaders to bring products to life that are intuitive, scalable Oversee execution of the roadmap by PMs and deliver concrete "wins" with each release. Drive thought leadership, champion product direction internally with senior leadership team, and externally to customers, analysts, and media. When needed, dive into details and write compelling product requirements documentation that meet customer demands in the market. Cultivate relationships with key strategic clients across multiple geographies, support executive forums, and help develop future revenue opportunities. Participate in Quarterly Business Review with senior leadership to monitor revenue, key business metrics and trends, manage budgets, and ensure product investments align with growth targets and customer needs. Partner laterally across the organization, establish and maintain outstanding communication, and build/maintain collaborative relationships at all levels. Stay abreast of competitive and market dynamics and apply insights to the CW product strategy and execution. Build and mentor a diverse, high-performing team if product managers focused on outcomes and excellence. What we look for: At least 15 years of experience in Investment management technologies and operations either at Insurance/Asset owner firm or technology provider, with a minimum of 5 years in leading a product. Experience as a practitioner or product creator for the business processes in multiple of these areas: investment accounting, regulatory reporting, compliance, performance attribution and risk analytics, trade operations, client reporting/EDM, EMEA specific asset pricing and valuations. Defendable opinion into the current EMEA investment management market such as growth areas, buyer, competition, budgets and client business drivers. You may be asked to present. Demonstrated ability to build new SaaS products and build a product business with revenues and growth. Deep familiarity with modern data, analytics, and trading technologies from data integration, and investment management systems landscape to front end reporting. Deep domain expertise in investment management, particularly in investment accounting, regulatory reporting, valuations, risk/performance and related areas Proven ability to manage complex programs, including execution, implementation, and influencing skills. Excellent communication and presentation skills, commitment to delivering superior internal and external customer experience. Bachelor's degree in finance, accounting, business, computer science, or other relevant technical discipline. Willingness to travel 25%-50% of the time across EMEA. Preferred Qualifications: CA/CPA or related certifications or an MBA from a top university Location: London Conversational knowledge of French or German What we offer: Business casual atmosphere Team focused culture that promotes innovation and ownership Access cutting edge investment reporting technology and expertise RSUs as well as employee stock purchase plan (discounted shares) Private medical and dental insurance Various social and volunteering opportunities, including volunteer time off to give back to the community Defined and undefined career pathways allowing you to grow your own way Work from anywhere 3 weeks out of the year An opportunity to revolutionize the investment industryStudies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with the job description, we encourage you to still apply! You may be just what we're looking for.

Senior Operational Due Diligence Analyst page is loaded Senior Operational Due Diligence Analystlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R-03679# Business Unit:Compliance, Risk and Internal Audit# Job Description: Role Summary Every day, we seek to improve financial security for people. Joining our team means you will be a part of a passionate and supportive team that believes what we do matters to our clients and investors. The Operational Due Diligence Senior Analyst will identify and assess operational risk factors at prospective and currently funded traditional and alternative (hedge fund, private equity, private real estate, infrastructure) investment managers through the performance of operational due diligence reviews. The responsibilities of the individual in this position include: Evaluating business, compliance, and operational risks associated with traditional and alternative investment managers relative to the scope of the Global Manager Operational Due Diligence (GMODD) program requirements by conducting desktop and/or on-site reviews of investment managers globally. Conducting/Leading due diligence reviews focusing on several areas including, but not limited to: organizational structure, regulatory compliance, legal entity risks, fund structure risks, allocation policy, valuation policy, cash and collateral management, trading infrastructure, asset monitoring, information technology, background checks, and third-party service providers (e.g., administrator, prime broker, custodian, auditor). Obtaining and analysing investment manager documentation including offering memorandums, fund formation documents, deal documents, financial statements, regulatory filings, due diligence questionnaires, policies and procedures. Identifying key areas of operational risk and confirming that the manager has completed associated remediation actions and/or implemented appropriate mitigating controls. Preparing written reports for internal and external distribution, documenting the due diligence performed, findings and recommendations to support conclusions. Communicating summary conclusions to internally interested parties and conducting follow-up with investment managers on any recommendations or risk findings, as needed. Maintaining and tracking remediation/action plans with managers; escalating material issues to Investment, Legal, Compliance, and Operational Risk and presenting at the appropriate governance forums. Ensuring records management/data systems are maintained and up to date. Proactively identifying and supporting efforts/projects to evolve the team's practice in operational due diligence. Contributing to client deliverables including ODD sections of due diligence reports, RFPs/RFIs and responses to client operational questionnaires; supporting client meetings as subject-matter expert. Staying current with industry best practices and key events across applicable areas (e.g., regulatory, technology/systems, trading). The successful candidate will have extensive demonstrable skills and experiences including the following: Bachelor's Degree in a relevant field (or equivalent experience / qualification) required; MBA or CFA preferred. Significant experience in Business Analyst, Operations, Internal Audit or Compliance role within financial services, including Operational Due Diligence experience. Knowledge of private equity/real estate/hedge fund strategies and trading, valuation and industry best practices is preferred. Experience in private markets operational due diligence (ODD), along with strong understanding of the regulatory framework in the UK. Ability to articulate concerns/issues effectively to internal and external senior investment management professionals and compliance professionals. Demonstrated initiative to work independently and engage, undirected, in execution of responsibilities. Strong attention to detail; ability to consume and triangulate information and data from multiple sources and reconcile conflicts. Ability to support ongoing reviews and lead ad hoc projects while meeting deadlines; ability to multi task and prioritize multiple projects efficiently. Excellent communication skills (oral and written) required. Excellent interpersonal skills integrating tact and diplomacy required. Ability to professionally represent the firm required. Strong collaboration and team skills. Proficient in Microsoft Office; project management and coding skills are preferred. Practical familiarity with generative AI tools (e.g., large language models) for document review and workflow efficiency is preferred. Familiarity with various global regulatory and compliance regimes, rules, and regulations preferred. Familiarity with investment best practices across operations, accounting, technology, and compliance preferred. Willingness and ability for domestic and international travel. (<15%)

Overview Senior Finance Analyst Destination Sport Group This is a hybrid role based in our Manchester office with flexibility for homeworking, so you must live within a commutable distance. Destination Sport Group set the global standard in sports travel, offering a uniquely holistic approach to partnerships not seen before. Our unique global sports travel business offers our partners the very best in everything they need in order to succeed. We are proud to have 7 market leading sports travel companies in our Group, helping millions of customers to enjoy sport. Due to some exciting growth we are now looking for a Senior Finance Analyst to support our Finance Function. As a business data is key and as our lead Financial Analyst you will support the finance team by turning numbers into insights. Reporting into our Head of Finance and working closely with the Finance and Executive leadership teams you will Drive financial reporting in working capital, regulatory and MI areas of the business Take ownership and develop our cashflow forecasting and reporting processes, including driving automation and use of system development and integration with banking platforms Collaborate with with departments to develop data-driven financial models Take ownership of the regulatory reporting for Destination Sport Group Develop MI and data initiatives to support finance reporting and commercial teams Take ownership of finance MI development Add insight to working capital considerations for M&A activity and ROI appraisals Become a key liaison between finance and the wider business, holding regular meetings with relevant stakeholders to help understand the business requirements and working capital movements Identify and work on process improvements and finance projects to drive efficiencies Maximise personal skills, knowledge and experience to positively impact on performance Adhere to the organisations policy and procedures on information security and take whatever actions are required to safeguard data and assets. To be successful in this role, our ideal candidate will: Be a fully qualified accountant (CIMA/ACCA/ACA) Have previous experience in managing cashflow across multi-currency group of entities Have previous experience with travel industry regulatory requirement (preferred) Be confident presenting to senior stakeholders Strong analytical and excel modelling skills, with experience of manipulating and managing large quantities of data using Excel Comfortable interpreting data into clear insights Demonstrate excellent attention to detail Be computer literate with strong knowledge of Microsoft Office, and in particular Excel Demonstrate excellent communication skills both written & verbal Be proactive and able to build strong relationship with non-finance individuals Be able to work under pressure and to tight deadlines Demonstrate good knowledge of back-office systems Have the ability to work within a team environment to achieve team/department objectives Be able to think logically, consider all relevant aspects and carry out complex analysis on information In return you will get A highly competitive salary and bonus scheme Competitive holiday allowance, the option to buy and sell holidays and a day off for for your birthday A wide variety of salary sacrifice schemes and flexible benefits Central office location, with a hybrid work model Opportunity for progression and development, and the chance to make an impact in a growing global business

Overview We are interest in speaking with Programme Management Consultants/Analysts with a view to join our Advisory services team within energy, ideally based in London, Birmingham, Glasgow or Edinburgh, (with travel expected) for future opportunities throughout 2026. At Stantec we offer consultancy services across energy covering business, engineering, digital, project and programme management. We are looking for individuals who are innovating together at the intersection of community, creativity, and client relationships. We care about the communities we serve-because they're our communities too. With a long-term commitment to the people and places we serve, Stantec has the unique ability to connect to projects on a personal level and advance the quality of life in communities across the globe. Our Advisory Group has a significant track record of successful delivery across the UK Infrastructure sector. We provide consultancy services and transformational services to some of the largest capital investment programmes across the Water, Energy and Transport Sectors. Through our success in supporting many of the UK's main utility providers and major infrastructure developers, we continue to see significant growth. Previous consultants and analysts have gone onto: Collaborating with companies across a region to co create better communities for the people of the region Support clients to define their strategy and business plan Working with our Global teams to establish programmes Supporting the development of a knowledge management strategy Working with innovation teams to develop and implement new approach to solve critical issues The Role As a consultant or analyst you can be expected to get involved in: Leading or Supporting (dependant on role) workstreams to develop their maturity to deliver complex capital projects and programme Transforming Programme and Project Management Capability Client engagement Social Value and Carbon initiatives (PAS 2080) IT systems and deployment Communications and change management You will work closely with our advisory services team on our key frameworks support clients to develop the capability to deliver large investment programme. Our Advisory service line supports our clients delivering major capital projects and programmes of work. Providing services ranging from capability building across varied business functions, programme management and PMO services, engineering, sustainability consulting and technology systems. As part of Stantec's advisory discipline community, this role offers the opportunity to develop across our service lines and to find your path. We are committed to supporting your skills development and have a broad range of training and network opportunities to support this. About You We would be interested in hearing from you with experience in a consultancy setting but this is not essential, you will have a minimum of an Honours Degree. We are open to a wide range of degree disciplines, including but not limited to: Project Management, Business Management, Maths, Science, Technology or Engineering degrees. You're inquisitive, creative and always looking for innovative ways to drive efficiency across processes. You can confidently manage stakeholder communications and articulate data analysis findings. You will have strong skills in Microsoft Office suite. You have data analysis and presentation skills, a sharp attention to detail and you're keen to learn. You are willing to work in fast paced and dynamic environment. You're interested in developing your career in the programme environment. We'll support you with gaining membership to a relevant body (APM/ Practitioner MSP/ Prince2/ PPSO). If you're looking for a chance to drive your career forward in a highly supportive organisation while delivering exceptional solutions for clients, then we want to hear from you! About Stantec ReqID: 8228

Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new

Edinburgh / Hybrid Engineering & Technology At FanDuel Group, we give fans a new and innovative way to interact with their favourite games, sports and teams. We're dedicated to building a winning team and we pride ourselves on being able to make every moment mean more, especially when it comes to your career. So, what does "winning" look like at FanDuel? It's recognition for your hard earned results, a culture that brings out your best work-and a roster full of talented coworkers. Make no mistake, we are here to win, but we believe in winning right. That means we'll never compromise when it comes to looking out for our teammates. From creative professionals to cutting edge technology innovators, FanDuel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves. At FanDuel, our principle of "We Are One Team" runs through all our offices across the globe, and you can expect to be a part of an exciting company with many opportunities to grow and be successful. THE POSITION Our roster has an opening with your name on it FanDuel is looking for a highly technical and detail oriented Systems Admin, Marketing Technology to own the end to end execution of data and technical integrations that power our marketing ecosystem. In this role, you will ensure the successful implementation of data pipelines, event instrumentation, customer attributes, and system to system connections that fuel marketing activation, personalisation, and automation across all channels. You will sit within the Marketing Technology & Operations organisation and work cross functionally with Data, Product, Marketing Strategy, Engineering, and Marketing Operations to translate business requirements into accurate, scalable, and future proof technical solutions and executions. This role is ideal for someone passionate about data architecture, marketing technology, and operational excellence-someone who enjoys digging into APIs, ETL workflows, marketing platforms, and orchestration logic to enable world class marketing experiences. THE GAME PLAN Everyone on our team has a part to play Technical Implementation & Data Architecture Own implementation of new marketing data pipelines, customer events, and attribute generation across FanDuel's martech stack, ensuring accuracy, scalability, and alignment with data governance standards. Translate marketing requirements into robust technical specifications-including event schemas, workflow designs, data transformations, and integration logic-with an eye toward opportunities for AI driven automation and optimization. Partner with data, product and engineering teams to introduce net new data points, refine data structures, and optimize data consumption for downstream activation. Ensure governance of Martech tooling (e.g., CDPs, Data Activation tools, and Customer Experience Platforms) to maintain operational excellence, AI readiness, and seamless connectivity across Marketing and Media technology partners. Systems Integration & Martech Connectivity Implement and maintain integrations between martech systems (ETL, CDPs, promotional engines, content tools, analytics platforms) using REST APIs, webhooks, and structured data formats such as JSON, with increasing leverage of AI driven validation and monitoring where appropriate. Lead setup and configuration of new tools, features, and marketing capabilities, ensuring they are technically sound, AI capable where relevant, and ready for operational adoption. Support data driven personalisation and cross channel orchestration by ensuring underlying data flows, model inputs, and attribute lifecycles are correct and consistent. Marketing Enablement & Operational Excellence Serve as a key technical liaison across Customer Marketing, Data Science, Technology, and Product to ensure new capabilities are scoped, implemented, validated, and utilised effectively. Conduct end to end QA of data integrations, campaign triggers, and attribute logic to prevent errors and ensure high quality execution. Create and maintain technical documentation and implementation guides in Confluence, ensuring transparency, knowledge transfer, and clarity around AI enabled features and automation logic. Help champion best practices and ways of working, including prioritisation frameworks, workflow governance, and consistent implementation standards across marketing technologies. Identify gaps in the martech ecosystem and recommend new integrations or techniques-including AI enhanced approaches-to improve marketing precision, personalisation, and automation. Evaluate the technical feasibility of new marketing strategies and propose scalable solutions that responsibly incorporate machine learning, generative AI, or adaptive decisioning. Contribute to transformation initiatives that embed AI, model driven marketing, and advanced segmentation capabilities throughout the stack, strengthening FanDuel's ability to deliver timely, personalised experiences. THE STATS What we're looking for in our next teammate Technical Expertise Experience in marketing technology implementation, data engineering support, or marketing operations with a strong technical focus. (Blended requirement based on manager and senior analyst levels.) Advanced proficiency in SQL and experience working with structured and semi structured data (JSON, APIs, event payloads). Hands on experience with ETL/data integration tools (e.g., Hightouch, KNIME, AWS, Microsoft, SAP) and API based integrations. Familiarity with CDPs, marketing automation tools, and orchestration platforms. Experience implementing or managing server based automations or cloud environments. Implementation & Operational Skills Demonstrated success translating business needs into detailed technical requirements and scalable implementations. Ability to lead cross functional technical projects, influence stakeholders, and manage competing priorities. Strong problem solving skills with a meticulous eye for data accuracy, quality assurance, and debugging workflows. Experience with project management tools such as Jira, Asana, or A proactive, curious, solution oriented mindset with a passion for technical problem solving. Excellent communication skills, with the ability to explain technical concepts to non technical partners. Strong desire to build, improve, and innovate within a fast moving, high growth technology environment. Collaborative spirit-someone who values being part of One Team and thrives in cross functional partnership. ABOUT FANDUEL GROUP FanDuel Group is an innovative sports tech entertainment company that is changing the way consumers engage with their favourite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance deposit wagering, and TV/media. FanDuel Group has a presence across all 50 states with approximately 17 million customers and 28 retail locations. The company is based in New York with offices in California, New Jersey, Florida, Oregon, Georgia, Portugal, Romania and Scotland. Its network FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through its relationships with leading direct to consumer OTT platforms. FanDuel Group is a subsidiary of Flutter Entertainment plc, the world's largest sports betting and gaming operator with a portfolio of globally recognised brands and a constituent of the FTSE 100 index of the London Stock Exchange. PLAYER CONTRACT We treat our team right From our many opportunities for professional development to our generous insurance and paid leave policies, we're committed to making sure our employees get as much out of FanDuel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect: An exciting and fun environment committed to driving real growth Opportunities to build really cool products that fans love Mentorship and professional development resources to help you refine your game Flexible vacation allowance to let you refuel Hall of Fame benefit programs and platforms FanDuel Group is an equal opportunities employer and we believe, as one of our principal states, "We Are One Team!". We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. We want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance. Having a diverse and inclusive workforce is a core value that we believe makes our company stronger and more competitive as One Team! Apply for this position Technology We're the backbone and the turbo engine behind FanDuel's rise-and we don't just build software, we build the future. Step into our world and you'll find a frontier style playground where top tier talent tackles complex challenges head on. From crafting innovative tech to scaling a platform that's fast, secure, and rock solid, we're doing it all in one of the most regulated-and exciting-markets out there . click apply for full job details