[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-intern-data-scientist-ai-focus-commodity-trading-desk-commerzbank-gb-en-gb":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":11,"featured_until":7,"is_active":12,"deactivated_at":7,"is_enriched":12,"processed_job_posting_json":13,"processed_latitude":66,"processed_longitude":67,"processed_employment_types":68,"processed_working_hours":69,"processed_working_hours_labels":71,"processed_home_office":72,"processed_salary_min":63,"processed_salary_max":64,"processed_salary_currency":60,"processed_salary_source":73,"processed_benefits":74,"processed_benefits_labels":75,"processed_industry":76,"processed_skills":7,"processed_job_location":77,"processed_full_address_gmaps":79,"processed_street_gmaps":81,"processed_city_gmaps":83,"processed_postal_code_gmaps":84,"processed_country_gmaps":86,"processed_country_iso_code_gmaps":88,"full_description":16,"formatted_description":89,"processed_employment_types_labels":35,"processed_home_office_labels":33,"processed_industry_labels":37,"processed_it_skills":90,"processed_it_skills_labels":93,"processed_soft_skills":94,"processed_soft_skills_labels":95,"processed_job_expertise_skills":96,"processed_job_expertise_skills_labels":98,"processed_language_requirements":99,"processed_total_experience_years":106,"processed_professional_field":107,"processed_professional_field_labels":110,"processed_leadership_role":11,"processed_date_posted":19,"raw_job_url":111,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":112,"canonical_industry_label":113,"max_cpc":114,"actual_cpc":7},71593,"intern-data-scientist-ai-focus-commodity-trading-desk-commerzbank-gb","Intern – Data Scientist (AI Focus)– Commodity trading desk",null,{"name":9,"slug":10,"logo_url":7},"Commerzbank GB","commerzbank-gb",false,true,{"@context":14,"@type":15,"title":6,"description":16,"hiringOrganization":17,"datePosted":19,"validThrough":20,"jobLocation":21,"jobLocationType":33,"employmentType":34,"industry":36,"skills":38,"baseSalary":58},"https:\u002F\u002Fschema.org\u002F","JobPosting","Wichtiger Hinweis: Bitte aktiviere JavaScript, um diese Seite uneingeschränkt nutzen zu können.\nvorherige Stelle\nnächste Stelle\nYour tasks\nMain purpose of the role:\nCommerzbank Corporates clients (CC) is the integrated Corporate and Investment Banking division of Commerzbank AG.CC provides corporate and institutional clients with a broad range of commercial and investment banking products. It is active in Europe’s most important markets with main offices in Frankfurt and London.\nThe business incorporates capital markets activities in commodities, interest rates and foreign exchange with a strong focus on derivatives. It provides clients with capital and debt raising solutions and offers its customers access to a broad range of investment and risk management products across all major asset classes.\nThe Commodity trading team within Financial Markets (FM) is a product specialist team with the responsibility of Market making and risk managing the whole Commodity products suit of the bank. This includes Precious metals, Base metals, Oil & Gas, Power, Carbon and Agricultural products.\nOur clients are corporates who manage their commodity price risk; and their banks that act as their counterparties when Com-merzbank has no relationship with the end-client.\nWe provide tailor made Commodity hedging solutions to our clients across the globe. We design complex Commdity trading strategies to maximize the value of our client franchise and optimize the P&L for the bank.\nKey activities:\nCommerzbank is seeking a highly skilled Data Scientist to join the Commodity Trading Desk as an intern and support the team in enhancing data availability, automation, and analytical capabilities across several commodities trading areas. The role is focused on the design and development of Python-based tools and AI-driven prototypes to streamline front office workflows, improve the timeliness and quality of trading information, and drive innovation in trading strategies. This is a highly applied role with a strong focus on the commodities market.\n1. Tool Development and Automation:\nDesign and develop Python-based tools and AI-driven prototypes to automate and streamline front office workflows.\nBuild and maintain GUIs\u002Fdashboards that display continuously updated quotes and market information.\nApply and promote Commerzbank Python code design rules and good software engineering practices, ensuring clean structure, readability, and maintainability in code written for and with colleagues on the desk.\n2. AI Integration and Optimization:\nDemonstrate the use of agentic AI capabilities to support and optimize code development for team members, including using AI to refactor, document, and debug code.\nImplement and share optimization techniques for code performance and development workflows, helping colleagues improve the efficiency and robustness of their tools.\n3. Collaboration and Business Alignment:\nWork closely with traders, quants, and other front office staff to identify relevant data sources, clarify requirements, and iterate on prototypes to ensure tools are aligned with real business needs.\nDocument solutions, provide structured handovers, and support users in testing and integrating tools into their daily processes.\n4. AI Adoption and Training:\no Help the Commodities desk onboard and use AI tools available within the bank, including:\nExplaining available AI services and practical use cases.\nProviding guidance on prompt design and best practices.\nHighlighting limitations and control mechanisms.\nOffering ongoing support during initial adoption\n5. Organizational and Communication:\nGather requirements from traders and other stakeholders and translate them into clear technical specifications.\nCommunicate complex technical topics in an accessible manner to non-technical stakeholders.\nOnboard and support the various Commodity desks in the practical use of AI tools, including training sessions and demonstrations\nKey requirements:\n· Graduated in the last 12 months or graduating in 2026.\n· The successful candidate is likely to be educated to degree level in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, Quantitative Finance.\n1. Technical Skills:\nExcellent numerical and analytical skills.\nSolid problem-solving abilities\nStrong Python programming skills, including data processing, automation, API integration, and basic GUI\u002Fdashboard development.\nPractical experience with Large Language Models (LLMs) and LLM-based services,including:\nPrompt design and iterative refinement.\nEvaluation and comparison of model outputs.\nIntegration of LLMs into data pipelines and tools.\nAbility to build software prototypes\u002FProofs of Concept (PoCs) and develop them into robust, stable tools.\nFamiliarity with real-time or near real-time data processing from unstructured sources such as chat streams.\n2. Market Knowledge:\nBasic understanding of financial markets and commodities products sufficient to understand pricing information, quote structures, and trading workflows.\nBusiness knowledge from a previous internship within Financial Services is a plus.\nSolid understanding of derivatives products at a theorethical and practical level.\n3. Software Engineering Practices:\nExperience with coding standards and version control; adherence to internal Python design principles.\n4. Analytical and Problem-Solving Skills:\nAbility to analyze loosely defined business problems and translate them into clear technical requirements.\nStructured approach to experimentation (e.g., prompt tuning, model selection, error analysis).\nCapability to design workflows that combine automated processing with appropriate human oversight to ensure data quality and control.\n5. Organizational and Communication Skills:\nStrong verbal and written communication skills\nTeam player o Ability to communicate complex technical topics in an accessible manner to non-technical stakeholders.\nCoordination with multiple desks and prioritization of tasks under time constraints.\nBookmark job ad\nPrint job ad\nShare job ad\nVerwandte Stellen\nBitte warten...\nvorherige Stelle\nnächste Stelle\nZurück\nTeilen über deinen Social Media Account\nKlicke auf eines der Icons:\nTeilen über Mail\nTeilen über Facebook\nTeilen über X\nTeilen über Xing\nTeilen über LinkedIn",{"@type":18,"name":9},"Organization","2026-06-11","2027-06-11",[22],{"@type":23,"address":24,"geo":29},"Place",{"@type":25,"addressLocality":26,"addressCountry":27,"addressRegion":28},"PostalAddress","London","GB","England",{"@type":30,"latitude":31,"longitude":32},"GeoCoordinates",51.5151659,-0.0929856,"ONSITE",[35],"STUDENT",[37],"Banking and Financial Services",[39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57],"Python","API Integration","GUI Development","Dashboard Development","Large Language Models (LLMs)","Prompt Design","Version Control","Real-time Data Processing","Communication","Teamwork","Problem-solving","Analytical Skills","Organizational Skills","Financial Markets Knowledge","Commodities Products Knowledge","Derivatives Knowledge","Software Engineering Practices","Data Science","Quantitative Finance",{"@type":59,"currency":60,"value":61},"MonetaryAmount","EUR",{"@type":62,"minValue":63,"maxValue":64,"unitText":65},"QuantitativeValue",3000,4000,"YEAR",[31],[32],"student",[70],"FULL_TIME",[70],"onsite","estimated",[],[],"banking and financial services",[78],"commerzbank, london, großbritannien",[80],"30 Gresham St, London EC2V 7PG, Vereinigtes Königreich",[82],"Gresham Street 30",[26],[85],"EC2V 7PG",[87],"Vereinigtes Königreich",[27],"Wichtiger Hinweis: Bitte aktiviere JavaScript, um diese Seite uneingeschränkt nutzen zu können.\n\nvorherige Stelle\n\nnächste Stelle\n\n## Your tasks\n\n**Main purpose of the role:**\n\nCommerzbank Corporates clients (CC) is the integrated Corporate and Investment Banking division of Commerzbank AG.CC provides corporate and institutional clients with a broad range of commercial and investment banking products. It is active in Europe’s most important markets with main offices in Frankfurt and London.\n\nThe business incorporates capital markets activities in commodities, interest rates and foreign exchange with a strong focus on derivatives. It provides clients with capital and debt raising solutions and offers its customers access to a broad range of investment and risk management products across all major asset classes.\n\nThe Commodity trading team within Financial Markets (FM) is a product specialist team with the responsibility of Market making and risk managing the whole Commodity products suit of the bank. This includes Precious metals, Base metals, Oil & Gas, Power, Carbon and Agricultural products.\n\nOur clients are corporates who manage their commodity price risk; and their banks that act as their counterparties when Com-merzbank has no relationship with the end-client.\n\nWe provide tailor made Commodity hedging solutions to our clients across the globe. We design complex Commdity trading strategies to maximize the value of our client franchise and optimize the P&L for the bank.\n\n**Key activities:**\n\nCommerzbank is seeking a highly skilled Data Scientist to join the Commodity Trading Desk as an intern and support the team in enhancing data availability, automation, and analytical capabilities across several commodities trading areas. The role is focused on the design and development of Python-based tools and AI-driven prototypes to streamline front office workflows, improve the timeliness and quality of trading information, and drive innovation in trading strategies. This is a highly applied role with a strong focus on the commodities market.\n\n**1. Tool Development and Automation:**\n\n- Design and develop Python-based tools and AI-driven prototypes to automate and streamline front office workflows.\n- Build and maintain GUIs\u002Fdashboards that display continuously updated quotes and market information.\n- Apply and promote Commerzbank Python code design rules and good software engineering practices, ensuring clean structure, readability, and maintainability in code written for and with colleagues on the desk.\n\n**2. AI Integration and Optimization:**\n\n- Demonstrate the use of agentic AI capabilities to support and optimize code development for team members, including using AI to refactor, document, and debug code.\n- Implement and share optimization techniques for code performance and development workflows, helping colleagues improve the efficiency and robustness of their tools.\n\n**3. Collaboration and Business Alignment:**\n\n- Work closely with traders, quants, and other front office staff to identify relevant data sources, clarify requirements, and iterate on prototypes to ensure tools are aligned with real business needs.\n- Document solutions, provide structured handovers, and support users in testing and integrating tools into their daily processes.\n\n**4. AI Adoption and Training:**\n\no Help the Commodities desk onboard and use AI tools available within the bank, including:\n\n- Explaining available AI services and practical use cases.\n- Providing guidance on prompt design and best practices.\n- Highlighting limitations and control mechanisms.\n- Offering ongoing support during initial adoption\n\n**5. Organizational and Communication:**\n\n- Gather requirements from traders and other stakeholders and translate them into clear technical specifications.\n- Communicate complex technical topics in an accessible manner to non-technical stakeholders.\n- Onboard and support the various Commodity desks in the practical use of AI tools, including training sessions and demonstrations\n\n**Key requirements:**\n\n· Graduated in the last 12 months or graduating in 2026.\n\n· The successful candidate is likely to be educated to degree level in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, Quantitative Finance.\n\n**1. Technical Skills:**\n\n- Excellent numerical and analytical skills.\n- Solid problem-solving abilities\n- Strong Python programming skills, including data processing, automation, API integration, and basic GUI\u002Fdashboard development.\n- Practical experience with Large Language Models (LLMs) and LLM-based services,including:\n- Prompt design and iterative refinement.\n- Evaluation and comparison of model outputs.\n- Integration of LLMs into data pipelines and tools.\n- Ability to build software prototypes\u002FProofs of Concept (PoCs) and develop them into robust, stable tools.\n- Familiarity with real-time or near real-time data processing from unstructured sources such as chat streams.\n\n**2. Market Knowledge:**\n\n- Basic understanding of financial markets and commodities products sufficient to understand pricing information, quote structures, and trading workflows.\n- Business knowledge from a previous internship within Financial Services is a plus.\n- Solid understanding of derivatives products at a theorethical and practical level.\n\n**3. Software Engineering Practices:**\n\n- Experience with coding standards and version control; adherence to internal Python design principles.\n\n**4. Analytical and Problem-Solving Skills:**\n\n- Ability to analyze loosely defined business problems and translate them into clear technical requirements.\n- Structured approach to experimentation (e.g., prompt tuning, model selection, error analysis).\n- Capability to design workflows that combine automated processing with appropriate human oversight to ensure data quality and control.\n\n**5. Organizational and Communication Skills:**\n\n- Strong verbal and written communication skills\n- Team player o Ability to communicate complex technical topics in an accessible manner to non-technical stakeholders.\n- Coordination with multiple desks and prioritization of tasks under time constraints.\n\nBookmark job ad\n\nPrint job ad\n\nShare job ad\n\n**Verwandte Stellen**\n\nBitte warten...\n\nvorherige Stelle\n\nnächste Stelle\n\nZurück\n\nTeilen über deinen Social Media Account\n\nKlicke auf eines der Icons:\n\nTeilen über Mail\n\nTeilen über Facebook\n\nTeilen über X\n\nTeilen über Xing\n\nTeilen über LinkedIn",{"python":91,"prompt design":92,"api integration":92,"gui development":92,"version control":92,"dashboard development":92,"real-time data processing":92,"large language models (llms)":92},4,3,[39,40,41,42,43,44,45,46],{"communication":91,"teamwork":91,"problem-solving":91,"analytical skills":91,"organizational skills":92},[47,48,49,50,51],{"data science":92,"quantitative finance":92,"derivatives knowledge":92,"financial markets knowledge":97,"commodities products knowledge":97,"software engineering practices":92},2,[52,53,54,55,56,57],{"detected_language_jobad":100,"required":101},"en",[102],[103],{"language":104,"level":105},"ENGLISH","C1",0,[108,109],"Finance Professionals","Information and Communications Technology Professionals",[108,109],"https:\u002F\u002Fcoba-beesite-production-frontend.app.beesite.de\u002Findex.php?ac=jobad&id=61322","banking","Banking",1]