Senior Quant Developer

suena energy

INTRO Hamburg | base 80.000 – 100.000 € per year | 30 Days Vacation | English B2/C1 Are you enthusiastic about intelligent and effective software solutions to the energy transition? Join us at suena energy as Senior Quant Trading Analyst (f/m/x) and experience a role that offers much more than “just” trading: You’ll combine market strategy, hands-on execution, and direct PnL responsibility across European power markets—using cutting-edge tools and shaping the processes yourself. suena energy is a green tech startup specializing in algorithmic energy trading for energy storage systems and renewable energies. Our vision: a world where clean energy is used reliably, economically, and intelligently. With our AI-based optimization and trading software, we maximize the revenues of operators of large-scale energy storage and renewable assets on short-term electricity and balancing markets - while simultaneously minimizing their risks. We’re a team of 45 people, combining a warm, supportive team culture with true startup drive. Following our successful Series A, we’re investing in expanding our team – and we’re excited to strengthen our team with new talent and continue growing together. What sets this seat apart? * Build & shape trading workflows: This is not a classic trading seat – you’ll actively design, optimize, and scale our trading workflows and strategies. Your quant and algo skills will directly influence how our system trades, adapts, and evolves. You’re here to build, not just operate. * Modern trading tools: Work with PowerBot - the new kid on the block in trading tech - and other advanced tools. * High speed, zero bureaucracy: Make decisions and see your impact - no corporate red tape, just agile execution. * Strategy is core to your role: You actively shape, refine, and own trading strategies - contributing to the foundation of our trading setup. Who you’ll work with: * Trading & Tech Crew: Collaborate daily with a cross-functional team of developers, data scientists, traders and trading analysts - everyone close to the action, no silos. * Sparring partner: Juri – an experienced trader (ex-Sunnic, ex-Centrica, ex-Vattenfall), expert in renewables and algo trading. You’ll complement his market expertise with your quant and strategy skills, shaping and advancing our trading setup together. YOUR MISSION * Strategy Development: Develop and refine models, test new approaches, and collaborate closely with quants, data scientists, and developers. * Risk Management: Spot risks early, think in scenarios, and ensure we’re prepared for anything. * Quantitative Analysis: Use Python and other tools to analyze and optimize trading operations, and develop new strategies. * Live Trading: Monitor markets, prices, and live trading results; react quickly to anomalies; improve our automated processes. YOUR PROFILE * At least 3 years’ experience in power trading (CWE or UK), covering the full trade lifecycle. * Analytical and strategic thinker – you leverage data, mathematics, and logic to develop new trading approaches and spot market opportunities. * Experience optimizing processes, developing tools, and ideally trading renewables. * Python or SQL skills are mandatory – or you impress with hands-on trading experience. * Fluent English (written and spoken); German is a bonus. * You stay sharp and make confident decisions—even when the pressure is on. * Startup mentality: you embrace change, seize opportunities, and love to get things done. * You thrive in a collaborative, team-driven environment and take ownership of your results. WHY US? * Shape the Future: Help drive the energy transition with us! Join a booming market, real startup spirit, and make your mark in sustainability. * Connecting & Co-Creating: Strategy off-sites (like Denmark 2024) and onsite weeks for real collaboration and shared ideas. * Work Your Way: Home office and flexible hours – you know what works best for you and your team. * Team Spirit: Yoga, shared lunches, after-work fun – we support each other and keep the vibe strong, even when it’s busy. Barista, DJ, guitarist included – we can’t wait to discover your hidden talent! * Fair & Transparent: Clear structures, democratic decisions, and a feedback culture where your voice counts. * Body & Mind: Urban Sports Club membership, wellbeing check-ins, and mental health support – your energy matters. * New Office Vibes: 10th-floor office with rooftop terrace, canteen, great views, ergonomic desks, hardware of your choice, and pet-friendly! * Sustainable Extras: Deutschlandticket, FutureBens, and more – supporting your mobility and future. WHAT ELSE? We look forward to receiving your application, earliest start is as soon as possible. If you have any questions, feel free to reach out - your contact is Kathi (Interim Talent Partner). You’ll hear back from us within 5 working days of your application. We value your time and want to make the process as transparent as possible. Once we receive your application, we’ll send you a confirmation email outlining the next steps and what you can expect from our interview process. We can’t wait to meet you! suena energy is an equal opportunity employer. We celebrate diversity and reject any form of discrimination. It is important to us to create an inclusive environment for all our team members. We want to particularly emphasize that our call for applicants is addressed to all genders. The integration of people with disabilities is an opportunity and not a problem for us, and we, therefore, welcome their application.

Man Group

About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here * As at 31 March 2026   The Role As a Quant Developer at Man Group you will be part of one of our flagship teams in Man’s systematic trading arm - Man AHL. The team works hand-in-hand with Quant Researchers focusing on equity market neutral models. Your challenges will be varied, and will involve building new alphas and new trading strategies. The Team Quant Developers at Man Group are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code. Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: “Quant Platform Developers” otherwise known as our “Core Techs”, and “Quant Developers” which we often refer to as “Sector Techs”. We use the term “Sector Tech” because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.   Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise ArcticDB (https://arcticdb.io/) our in-house developed DataFrame Database. Our technology list is never static: we constantly evaluate new tools and libraries.   Technology and Business Skills At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential * Exceptional technology skills; recognised by your peers as an expert in your domain * A keen interest and understanding of financial markets and instruments * A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches * Strong knowledge of Python * Proficient on Linux platforms with knowledge of various scripting languages * Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas * Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Advantageous * Experience of front office quantitative software development e.g. in a hedge fund or investment bank * Experience of web based development and visualisation technology for portraying large and complex data sets and relationships * Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow   Personal Attributes * Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university * Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others * Demonstrable passion for technology e.g. personal projects, open-source involvement * Intellectually robust with a keenly analytic approach to problem solving * Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities * Focused on delivering value to the business with relentless efforts to improve process * Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike * Confident communicator; able to argue a point concisely and deal positively with conflicting views   Working Here Man Group has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader technology community. * We host and sponsor London’s PyData and Machine Learning Meetups * We open-source some of our technology. See github.com/man-group * We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @ManQuantTech We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff. We are simultaneously committed to "levelling the playing field" and believe that agile working promotes inclusivity across teams, regions and business units. * We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches * We have annual away days and off-sites for the whole team * As well as PC’s and Macs, in our office you’ll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.

Engelhart

ABOUT US Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities.  Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies. In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition. Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship. ABOUT THE ROLE As a Technology Manager in our Tech Data, AI & UX team, you will lead a high-impact engineering group responsible for building, scaling, and operationalising data and AI capabilities across Engelhart’s trading, quantitative, risk and operational functions. This is a hands-on leadership role at the intersection of data engineering, AI platform delivery, front-office technology, and commodities trading The role reports to the Global Head of Tech - AI, Data & UX and will play a central part in implementing Engelhart’s AI Business Plan. That plan positions AI as a federated capability enabled by a central Tech AI team with responsibilities across platform, governance and delivery, working closely with trading desks, Quant & Systematic teams, MOBO, Risk, Compliance, People, senior management, external AI providers, cloud providers, data providers, BTG Pactual, Gridfuse, Metdesk and other partners.  This role will work directly with Traders, Quants, FO Analysts, Risk, Compliance and Technology stakeholders. Experience with systematic trading, quantitative research workflows, or trading analytics platforms is highly desirable. The successful candidate will help translate front-office needs into robust technical capabilities, ensuring that AI and data solutions are useful, trusted, governed and adopted in real workflows. The broader mandate is to help Engelhart move from experimentation to production-grade AI capability: improving productivity, making company knowledge searchable, enabling AI-assisted workflows, and embedding AI into analytics through initiatives such as Risk Copilot, Treasury Copilot, Power Forecast Copilot, Trader Copilot, and Quant Copilot.   ABOUT YOUR TEAM You will manage a team consisting of four Senior Data Engineers and two AI & Agentic Platform Interns, guiding delivery across both the core data engineering estate and the emerging agentic AI platform. The Senior Data Engineers are focused on building and maintaining data pipelines, integrating and cleansing data, supporting analytical and operational use cases, and enabling predictive analytics, machine learning, data mining, and systematic trading initiatives. The AI & Agentic Platform Interns support the design and implementation of Engelhart’s central Agentic AI platform, including orchestration layers, agent runtimes, AWS Lambda integrations, MCP servers, agent skills, knowledge bases, vector databases, retrieval pipelines, and AI productivity tooling.   BREAKDOWN OF RESPONSIBILITIES This will be a full-time role based in our London office and owning the following responsibilities: * Lead and develop the AI & Data engineering team, directly managing four Senior Data Engineers and two AI & Agentic Platform Interns, setting clear priorities, coaching technical growth, reviewing delivery quality, and ensuring the team operates with high ownership, collaboration, and continuous improvement. * Drive implementation of the Agentic AI platform, supporting orchestration layers, agent runtimes, AWS-hosted services, Lambda-based tooling, MCP servers, knowledge bases, vector databases, retrieval pipelines, agent skills and secure deployment patterns within Engelhart’s internal network. * Support implementation of the AI Business Plan, helping deliver the central Tech AI team’s mandate across platform, governance and delivery, and contributing to the strategic themes of productivity, knowledge and data discovery, AI-assisted workflows, and AI-assisted analytics. * Support delivery of AI use cases such as Trader Copilot, Quant Copilot, Risk Copilot, Treasury Copilot, Power Forecast Copilot, reconciliation automation, AI Explorer, text-to-SQL, Confluence/wiki agents, contract/vendor agents and self-service AI workflows where relevant to the agreed roadmap. * Own delivery of scalable data engineering capabilities across Engelhart’s data landscape, including ingestion of structured and unstructured data, data cleansing, enrichment, transformation, storage, distribution, visualisation and operational reuse for Data Scientists, Traders, Quant developers and business stakeholders. * Partner with Quant and Systematic teams to enable data, AI and engineering capabilities that support research workflows, model-adjacent analytics, signal review, back testing support, code review, documentation and systematic trading productivity, while respecting ownership boundaries with Quant and trading teams. * Translate front-office requirements into practical technology solutions, working closely with Traders, Quants, FO Analysts, Risk and other business teams to identify high-value opportunities. * Champion production-grade engineering standards, including robust architecture, secure data access, maintainable code, CI/CD, infrastructure-as-code, observability, documentation, testing and clear operational ownership. * Ensure AI solutions are governed appropriately, contributing to standards around evaluation, provenance, human-in-the-loop design, auditability, monitoring, access control and safe deployment in collaboration with Compliance, Risk, AI Security and senior Technology stakeholders. * Measure and communicate value delivered, helping connect technical delivery to adoption, cost savings, front-office efficiency and business impact. The AI Business Plan identifies annualised value delivered and value-weighted adoption as key success measures.   ABOUT YOU This individual will be an experienced engineering manager from a commodities trading environment. Someone who is comfortable leading a team of senior engineers whilst remaining close enough to the architecture and code to challenge design decisions, unblock delivery and set a high technical bar. The successful individual will understand that AI adoption is not just about models or tools; it depends on data quality, platform reliability, governance, user trust and day-to-day workflow fit. We believe the following background, experiences and skills are essential for application: * Strong domain understanding of commodities trading is essential. * Academic background or equivalent professional experience in Computer Science, Engineering, Data Science, Information Systems, Quantitative Finance, Mathematics or a related technical field.  * Significant experience leading data engineering, AI engineering, platform engineering or technology delivery teams in a demanding business environment.  * Proven experience managing, coaching and developing engineers; including senior individual contributors and early-career technical talent.  * Strong hands-on understanding of modern data engineering practices, including data ingestion, transformation, cleansing, storage, distribution, data quality, documentation and operational support.  * Advanced proficiency in Python and the wider Python data ecosystem, including experience with Pandas or comparable libraries for data crawling, parsing, analysis and engineering workflows.  * Experience with analytical, time-series, or large-scale data platforms. ClickHouse is preferred and Redshift is also relevant, based on the current technical landscape. * Strong experience with cloud-native engineering, preferably AWS, including practical understanding of services such as S3, Lambda, Athena, EMR, Fargate, Kinesis, EC2, API Gateway, CloudWatch, and related architecture and security patterns.  * Hands-on experience with Docker, Git, CI/CD, infrastructure-as-code, and modern software delivery practices.  * Practical understanding of AI, LLM, or Generative AI application architecture, including RAG, knowledge bases, vector databases, prompt engineering, evaluation, orchestration, agent workflows, or AI-assisted developer tooling.  * Experience engaging directly with Traders, Quant developers, Data Scientists, analysts or front-office stakeholders to gather requirements, challenge assumptions and deliver useful technical solutions.  * Strong understanding of commodities trading, particularly Oil, Power, and Gas; including the role of market data, analytics, risk, weather, fundamentals, trading workflows and front-office decision support.  * Ability to translate complex technical concepts for both technical and non-technical audiences, influencing decisions and building trust with stakeholders across levels.  * Strong organisational skills and a strong sense of ownership, accountability, and follow-through. Preferably with a bias toward delivering production-grade solutions rather than prototypes that do not land.  In addition, the following experiences and skills are not required, but highly desirable for this role: * Commodities coverage: Oil, Power, and Gas. * Experience in systematic trading, quantitative research platforms, trading analytics, signal generation, back testing workflows, or model-adjacent engineering.  * Practical exposure to agentic AI frameworks and implementation patterns, such as LangChain, n8n, MCP servers, AWS Bedrock, Postgres with pgvector, Bedrock Knowledge Bases, Pinecone, Chroma, or comparable tools.  * Experience designing or operating secure internal AI platforms, including private model deployment, VPC-based architectures, data-access controls, auditability, monitoring, and vendor due diligence.  * Familiarity with AI governance, evaluation suites, provenance, human-in-the-loop workflows, risk classification, model monitoring, audit trails, and compliance considerations such as the EU AI Act.  * Experience with REST APIs, SSIS, Entity Framework, internal API design, Python packages, and integration patterns across enterprise systems.  * Experience with big data technologies such as Apache Spark, Databricks, Parquet, or Hive.  * Experience with data visualisation libraries or platforms, including Plotly or equivalent tooling.  * Experience working with GitHub Copilot-style engineering workflows, internal AI chat, summarization pipelines, or AI productivity tooling.  * Experience working in a federated technology model where a central platform team enables business-aligned teams to own and improve their own workflows.  * Experience engaging with external data vendors, cloud providers, consulting partners, or group-level technology partners.    WHAT WE OFFER * Competitive compensation and participation in Engelhart’s discretionary bonus plan.  * 25 days of annual holiday entitlement, excluding UK public holidays. * Robust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company.   * Eligibility to receive external and internal training in accordance with our Training & Development Policy. We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.