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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.

Senior Quantitative Risk Analyst page is loaded Senior Quantitative Risk Analystlocations: Londontime type: Full timeposted on: Posted Yesterdayjob requisition id: JRWhen you join EDF Trading, you'll become part of a diverse international team of experts who challenge conventional ideas, test new approaches, and think outside the box.Energy markets evolve rapidly, so our team needs to remain agile, flexible, and ready to spot opportunities across all the markets we trade in power, gas, LNG, LPG, oil, and environmental products.EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it's experience that makes us leaders in the field. Energy is what we do.Become part of the team and you will be offered a great range of benefits, which include (location dependent) hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessments, corporate gym memberships, an electric car lease programme, childcare vouchers, a cycle-to-work scheme, season ticket loans, volunteering opportunities, and much more.Gender balance and inclusion are very high on the agenda at EDF Trading, so you will become part of an ever-diversifying family of around 750 colleagues based in London, Paris, Singapore, and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.Join us, make a difference, and help shape the future of energy.Job Description: Department The Quant Risk team delivers quantitative analysis to the Risk Group, provides independent assessments of EDF Trading's pricing models and design, develop and enhance EDF Trading's Risk Metrics calculations (VaR, PFE, CaR, DV01 ).The department is organised into 2 teams, one team responsible for implementing EDF Trading's model validation framework and one team in charge of EDF Trading risk metrics calculations. Position purpose You will be a member of the Risk Metrics team, responsible for developing EDF Trading risk metrics tools Responsible for designing, developing, and maintaining EDF Trading's quantitative risk metrics calculations (VaR, PFE, CaR, DV01 ) Work collaboratively with Market Risk, Credit Risk, Risk IT, the Quant Team, Treasury, and IT to deliver enhancements to EDF Trading Risk Metrics calculations and prepare EDF Trading's risk metrics platform for the future Provide quantitative support to global risk teams, to Risk Control on quantitative analysis requested to support their daily publication of VaR, Credit Risk to support their publication of PFE and Treasury for Cash-at-Risk Stay current with state-of-the art latest quantitative modelling and proactively look to apply best practice Experience required At least 3 years experience in a quantitative / risk management role for an energy trading company, investment bank, fintech or trading house PhD or MSc in financial mathematics, applied mathematics or physics or similar experience Proven track records of model development Strong experience in model design, programming, and maintenance of model libraries Expertise in options pricing theory and financial mathematics Knowledge of energy commodities and derivatives products Technical requirements Experienced in developing and supporting production risk models (VaR, PFE, CaR ) Good understanding of energy commodities and energy derivatives instruments Strong knowledge of stochastic calculus Strong programming skills in Python, MATLAB, SQL or equivalent. Skilled in modern source control and development best practises (e.g. TFS, GitHub, GitLab) Proficient with Microsoft Office products Person specification Excellent analytical skills Strong attention to detail and focus on accuracy of information Ability to manage multiple work streams in a trading environment of diverse and often conflicting pressures Effective communication skills, with ability to articulate technical knowledge and complex concepts into clear concise analysis Experience of working in a fast-paced environment is essential Proactive Hours of work: 40 hours per week, Monday to Fridaylocations: Londontime type: Full timeposted on: Posted 30+ Days AgoWe are committed to equipping our employees with the tools that will enable them to fulfil their job to the highest standard. To that end we offer a wide range of technical and personal development courses both in-house and through third-party providers."It is a fast-paced and dynamic working environment where each day is interesting and challenging. There's also an incredible pool of talent and skills within EDFT. I'm continuously learning from my colleagues. There is no 'typical' day. I work on a wide range of compensation, benefit and mobility projects throughout the year. One thing's for sure though, I'll have my head in a spreadsheet at some point."

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.

About The Role Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in Berlin, London and New York City. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services and insurance industry. We are looking to build on this success by growing our sales team, professionalizing our go-to-market, and acquiring more customers. That's where you come in. As a Senior Solutions Engineer, you are core to our mission of transforming our customer's decisioning infrastructure - helping them optimize and automate complex, critical business decisions using state-of-the-art technology, including the latest advances in AI You will work in partnership with Taktile's Sales Team and are making sure our customers get value from Taktile throughout their entire lifecycle. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about cutting-edge technology, stay up to date on the latest AI developments, and have a few years of hands on experience with Python, APIs, and modern AI models in customer-facing environments - all while thriving in a an awesome team that empowers you to grow, then we think you'll love this job! About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You have intermediate-level Python skills and are comfortable writing, testing, and debugging code in customer-facing or production adjacent environments. You are curious and customer centric. You enjoy learning about our customers' and prospects' businesses and helping them solve challenges. You are able to plan and manage project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers and prospects. You have excellent written and spoken English. What You'll Do You discover and translate customer's strategic priorities and problem statements into high impact use cases leveraging Taktile during the sales process and throughout the entire customer value journey including adoption, expansion and renewal. You lead the design and execution of proof of value projects that combine customer data, ML/AI models, and Taktile's platform to demonstrate strategic ROI. You build technical prototypes and demos leveraging the Taktile platform that simulate production grade integrations and workflows. You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform. You lead proof of value projects and can communicate the value opportunity of a full implementation and the corresponding strategic roadmap to senior stakeholders up to C level executives. You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code, and committed to providing an excellent experience and fast time to value to Taktile's customers. You work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You create re usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. You lead the discovery for new use cases and implement them on the platform to assess product solution fit. You provide feedback to our product team and share results of your discovery with go to market functions. Ideal, But Not Required Live for Customer Value: You have at least 3-5 years of experience working within Enterprise/"high touch" Solution Engineering, as a technical Customer Success Manager/Engineer in a B2B SaaS company or as (Technical) Senior Consultant. Technical expertise: You have a general understanding of REST APIs (design, integration, authentication) You have experience building, tuning, or deploying ML models (e.g., scikit learn, XGBoost, PyTorch, TensorFlow) in production settings Experience with AI use cases in financial services (e.g. fraud detection, credit scoring, underwriting) is a strong plus. You are comfortable explaining how a model works to both a technical stakeholder such as a CTO and domain experts such as Credit Risk Managers You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). Our Offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top of market equity and cash compensation package Get access to a self development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears About Us Taktile helps financial institutions make smarter, safer decisions with the power of AI. Our software gives teams the tools to automate complex decisions - like who to onboard, how to underwrite, or when to flag suspicious activity - with full visibility and control. By combining AI with a rich ecosystem of financial data, Taktile enables companies to adapt their decision making in real time as markets, customer behavior, and risks evolve. Our mission is to build the world's leading platform for automated decision making in financial services - setting the standard for how AI is applied responsibly and effectively in this industry. We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together engineers, entrepreneurs, and researchers from companies like Google, Amazon, and Meta, as well as fast growing startups and enterprise leaders. Backed by top investors including Y Combinator, Index Ventures, Balderton Capital, and Tiger Global, along with the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath - we're building a world class organization across all functions and levels to power the next generation of AI driven decision making in financial services.