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As a Quantitative Researcher, you will develop and implement quantitative models to support hedging strategies for retail energy supply, analyze market data to optimize the performance of physical assets, and conduct statistical and scenario-based modeling to inform trading and risk management decisions.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop and implement quantitative models to support hedging strategies for retail energy supply</li>\n<li>Analyze market data to optimize the performance of physical assets such as solar and wind farms</li>\n<li>Conduct statistical and scenario-based modeling to inform trading and risk management decisions</li>\n<li>Monitor power markets, pricing trends, and regulatory developments to identify risks and opportunities</li>\n<li>Collaborate with engineering and operations teams to integrate models into day-to-day decision-making</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>1+ years of experience in quantitative modeling, data analysis, or a related role in energy, trading, or analytics</li>\n<li>Strong proficiency in Python, with experience using libraries for data analysis, modeling, and visualization</li>\n<li>Solid understanding of statistical modeling, optimization, and analysis techniques</li>\n<li>Experience working with time series or market data, preferably in energy or commodities markets</li>\n<li>Strong problem-solving skills and the ability to translate complex data into actionable insights</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and an equity sign-on bonus</li>\n<li>Biannual bonus scheme</li>\n<li>Fully expensed tech to match your needs</li>\n<li>Paid annual leave</li>\n<li>Breakfast and dinner allowance for office-based employees</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0498bb39-4b1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Fuse Energy","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/gZBd5ZtoA1c61iWfWpoubt/quantitative-researcher-in-london-at-fuse-energy","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","data analysis","statistical modeling","optimization","time series analysis"],"x-skills-preferred":[],"datePosted":"2026-03-09T16:57:46.511Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, data analysis, statistical modeling, optimization, time series analysis"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_aafa7b92-fa6"},"title":"Senior Consultant - Data Engineering & Data Science (m/w/d)","description":"<p>Are you looking to advance your career and work with experienced, talented colleagues to successfully solve the most important challenges of our clients? We are growing further and looking for enthusiastic individuals to strengthen our team. You will be part of a dynamic, strongly growing company with over 300,000 employees.</p>\n<p>Our dynamic organisation allows you to work across topics and bring in your ideas, experiences, creativity, and goal orientation. Are you ready?</p>\n<p>As a Consultant/Senior Consultant in the Data Engineering &amp; Data Science field, you will work hands-on on the conception, development, and implementation of modern data and analytics solutions. You will support the entire project lifecycle - from data intake and transformation to analytics and machine learning to productive operation.</p>\n<p>You will work closely with data engineers, architects, data scientists, and subject matter experts to implement scalable, reliable, and value-adding solutions in complex customer environments.</p>\n<p><strong>Your Tasks</strong></p>\n<ul>\n<li>Apply data science methods (machine learning, deep learning, GenAI) to solve concrete business questions</li>\n<li>Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses</li>\n<li>Set up data pipelines for analytical workloads</li>\n<li>Support the productive implementation of data and ML solutions, including monitoring and optimisation</li>\n</ul>\n<p><strong>What You Bring - Required</strong></p>\n<ul>\n<li>At least 3 years of relevant professional experience in the field of data engineering, data science, or analytics</li>\n<li>Hands-on experience in implementing data and analytics solutions in (customer) projects</li>\n<li>Strong problem-solving skills and a pragmatic, implementation-oriented way of working</li>\n</ul>\n<p><strong>Data Engineering Fundamentals</strong></p>\n<ul>\n<li>Experience in setting up data pipelines (ingestion, transformation, storage)</li>\n<li>Solid understanding of data modeling, data transformations, and feature engineering</li>\n<li>Experience with cloud-based data platforms, such as:</li>\n</ul>\n<ol>\n<li>Azure, AWS, or GCP</li>\n<li>Databricks, Snowflake, BigQuery, Azure Synapse/Microsoft Fabric</li>\n</ol>\n<ul>\n<li>Knowledge of CI/CD concepts and production-ready deployments</li>\n</ul>\n<p><strong>Applied Data Science &amp; Analytics</strong></p>\n<ul>\n<li>Experience in applying GenAI, deep learning, and machine learning procedures as well as statistical analyses</li>\n<li>Very good programming skills in Python</li>\n<li>Very good SQL skills and experience with relational databases</li>\n<li>Experience in deploying and productively using ML models</li>\n<li>Ability to translate analytical results into business-relevant insights</li>\n<li>Bachelor&#39;s or master&#39;s degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with:</li>\n</ul>\n<ol>\n<li>Streaming technologies (e.g. Kafka, Azure Event Hubs)</li>\n<li>Time series analysis, NLP applications, or system modeling</li>\n<li>NoSQL databases (e.g. MongoDB, Cosmos DB)</li>\n<li>Docker and Kubernetes</li>\n<li>Data visualization tools like Power BI, Tableau</li>\n<li>Cloud or architecture certifications</li>\n</ol>\n<p><strong>Language &amp; Mobility (Germany)</strong></p>\n<ul>\n<li>Fluent German skills (at least C1) for customer communication in the German-speaking market</li>\n<li>Very good English skills</li>\n<li>Project-related travel readiness</li>\n</ul>\n<p><strong>Your Team</strong></p>\n<p>You will become part of our growing Data &amp; Analytics teams. In this area, you will work with modern technologies in modern data ecosystems. You have the opportunity to turn your own ideas into results - in the areas of Data &amp; Analytics Strategy, Data Management &amp; Governance, Data Platforms &amp; Engineering, and Analytics &amp; Data Science.</p>\n<p><strong>About Infosys Consulting</strong></p>\n<p>You will become an employee of a globally renowned management consulting firm at the forefront of technological innovation and industrial transformation. We work across industries with leading companies. Our culture is inclusive and entrepreneurial. As a mid-sized consulting firm embedded in the size of Infosys, we can support our customers worldwide and throughout the entire transformation process in a partnership-like manner.</p>\n<p>Our values IC-LIFE - Inclusion, Equity &amp; Diversity, Client, Leadership, Integrity, Fairness, and Excellence - form our compass of values. Further information can be found on our career website.</p>\n<p>In Europe, we are awarded by the Financial Times and Forbes as one of the leading consulting firms. Infosys is ranked among the top employers in Germany 2023 and has been certified by the Top Employers Institute for outstanding working conditions in Europe for five consecutive years.</p>\n<p>We offer a market-leading salary, attractive additional benefits, and excellent opportunities for further education and development. Have you become curious? Then we look forward to your application - apply now!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_aafa7b92-fa6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Infosys Consulting - Europe","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/ecAfMkjFkA97qaoimVMGNF/hybrid-(senior)-consultant---data-engineering-%26-data-science-(m%2Fw%2Fd)--deutschlandweit-in-munich-at-infosys-consulting---europe","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Data Science","Machine Learning","Deep Learning","GenAI","Data Engineering","Data Warehousing","Data Lakes","Lakehouses","Data Pipelines","Cloud-based Data Platforms","Azure","AWS","GCP","Databricks","Snowflake","BigQuery","Azure Synapse","Microsoft Fabric","CI/CD","Python","SQL","Relational Databases"],"x-skills-preferred":["Streaming Technologies","Time Series Analysis","NLP Applications","System Modeling","NoSQL Databases","Docker","Kubernetes","Data Visualization Tools","Cloud Certifications","Architecture Certifications"],"datePosted":"2026-03-09T16:55:58.580Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Bavaria, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Science, Machine Learning, Deep Learning, GenAI, Data Engineering, Data Warehousing, Data Lakes, Lakehouses, Data Pipelines, Cloud-based Data Platforms, Azure, AWS, GCP, Databricks, Snowflake, BigQuery, Azure Synapse, Microsoft Fabric, CI/CD, Python, SQL, Relational Databases, Streaming Technologies, Time Series Analysis, NLP Applications, System Modeling, NoSQL Databases, Docker, Kubernetes, Data Visualization Tools, Cloud Certifications, Architecture Certifications"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_331a8e82-0ec"},"title":"Applied Data Science & Machine Learning Leader - Global Forecasting","description":"<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Data Science</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$347K – $490K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-to-Market teams to inform high-stakes decisions through rigorous data science and economic modeling.</p>\n<p>As part of our expanding Data Science function, we’re building a best-in-class forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more.</p>\n<p>We are developing a scalable forecasting platform to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy — supporting key investment decisions and unlocking OpenAI’s full potential.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for a hands-on technical leader to build and lead a small but mighty team of applied data scientists and ML engineers to develop forecasting capabilities and platforms from the ground up.</p>\n<p>Your team will be responsible for building and scaling robust, interpretable, and production-ready forecasting systems. These models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, compute consumption, and profitability.</p>\n<p>You will work closely with Strategic Finance leaders to integrate these scalable forecasting capabilities into their operational rhythms and collaborate with the Growth team to forecast key KPIs.</p>\n<p>This is a highly cross-functional role that requires technical excellence, strong product intuition, and business acumen. You’ll collaborate with various partners to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI.</p>\n<p>This role is based in San Francisco, CA. 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