Low Latency MM Engineer

Job description:

 

At
METLEN Energy & Metals
, we are catalysts for a sustainable future, positioned at the forefront of the energy transition while being a reference point for competitive green metallurgy at both the European and global levels.  We are a global industrial and energy company operating across two highly interconnected and complementary sectors:
Energy and Metals
. With a consolidated turnover of €5,683 million and an EBITDA of €1,080 million, along with a workforce of over 7,627 dedicated individuals, we drive success through cutting-edge technology and diverse talent.

We are committed to embracing new state-of-the-art technologies and advancements, propelling us towards a cleaner, brighter tomorrow. Our positive footprint extends across five continents, creating a lasting impact. At METLEN, we foster a culture of
resilience, challenge, respect, excellence,
and
change
, empowering our diverse workforce to achieve remarkable outcomes.

 

We are currently looking for a
Natural Gas Analyst
 to join our

International Energy Trading

division in

Zug, Switzerland
. 

In this role, you will be an integral part of the trading desk: building, maintaining, and refining fundamental and quantitative market models to identify commercial opportunities across European gas markets. 

Working directly with traders, you will translate complex data into actionable insights that directly form trading strategies and risk management decisions.  

 

Your role will encompass:

• Developing, maintaining, and continuously improving short- and long-term supply and demand models, storage forecasts, and regional flow models across key European gas hubs.

• Monitoring daily physical gas infrastructure dynamics, including cross-border capacity constraints, pipeline nominations, storage injection/withdrawal rates, and LNG import schedules.

• Providing traders with market intelligence, trade ideas, and scenario analyses to support proprietary trading decisions.

• Building and automating data pipelines and analytical tools, transforming complex energy data into actionable insights and user-friendly dashboards.

• Monitoring macroeconomic, regulatory, and policy developments, including EU ETS and other factors affecting European energy balances.

• Working closely with traders, quantitative analysts, and other teams to translate market data and analysis into actionable trading strategies.

• Continuously improving analytical models, data quality, and processes to support a fast-paced trading environment.

 

What you bring to the role:

• 3+ years of experience as a gas market analyst within an energy trading company, utility, consultancy, or commodity brokerage.

• Strong understanding of the fundamental drivers of major European gas hubs, including TTF, THE, PSV, CEGH, and NBP.

• In-depth knowledge of European gas infrastructure, including pipeline networks, storage facilities, interconnections, and LNG regasification infrastructure.

• Understanding the gas-to-power relationship, renewable intermittency, and the impact of carbon prices on European energy markets.

• Advanced proficiency in Python, SQL, and Excel, with hands-on experience in data extraction, statistical modelling, and process automation.

• Experience with data visualization tools such as Power BI or Tableau and relevant energy market data sources.

• Strong analytical and quantitative capabilities, with excellent attention to detail and the ability to interpret complex, fast-moving datasets.

• Ability to work independently, communicate insights clearly, and deliver under tight deadlines in a fast-paced trading environment.

 

Share the same Value Based Behaviors:

• People & Personal Growth

• Results Orientation & Safety Excellence

• Collaboration & Trust

• Empathy & Effective Communication

• Flexibility & Adaptability

 

Your Benefits:

• Competitive remuneration package including performance-based bonus structure.

• Opportunities for responsibility, ownership, and career growth as the business expands

• Group Health Insurance Plan

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We respect your personal data. All personal information in your application and CV will remain strictly confidential.  

 

At
Metlen Energy & Metals
we are proud to have Diversity and Inclusion at the centre of everything we do. We are committed to Equal Employment Opportunity regardless of race, colour, national origin, ethnicity, gender, age, disability, sexual orientation, gender identity or religion.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

Preferred qualifications:

• 2 years of experience with data structures or algorithms.
• Experience developing accessible technologies.
• Experience working with mobile testing, web testing, testing frameworks and release process automation.
• Experience with debugging or troubleshooting large-scale, complex systems

About The Job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Associate / Senior Associate - Cloud, Data & AI (CD&AI) - Data Engineering
Your Impact

• Collaborate with your team to deliver high-impact projects and engage with senior stakeholders from high-profile clients in industries such as Pharma & Life Sciences, Financial Services, Retail & Consumer, Industrial Manufacturing, and Public Services.
• Empower your clients to innovatively leverage their data by proposing and developing the most suitable data-driven solutions according to the clients' needs and the availability/properties of their data.
• Assist your clients in advancing digitization with data pipelines and analyzes of various data sources. The projects you are working on include the technical and analytical development of end-to-end data engineering, analytics, and automation solutions.
• Challenge the status quo, seek the information you need, understand the challenge at hand, and devise creative and simple solutions.
• Implement and continue learning best practices in technology, data engineering, analytics, and consulting approaches

 

Your Skill Set

• A university degree in fields such as business informatics, computer science, physics, mathematics, or any engineering discipline is preferred.
• Initial work experience in data engineering, data science, visualization, or analytics (including thesis work) adds value.
• Proficiency in multiple programming languages like Python, R, SQL, or similar is required.
• Hands-on experience with Azure, GCP, AWS, or DataBricks is essential.
• Excellent interpersonal, listening, and communication skills, coupled with a proactive attitude towards delivering client value, are vital.
• Fluency in English and German and a willingness to travel within Switzerland, and occasionally internationally, are necessary.

 

Any questions? We are happy to help.

Pamela Wagner

Recruitment Team

+41 58 792 44 00

 

About PwC
At PwC Switzerland, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We're part of a tech-forward, people-empowered network and help clients build, accelerate and sustain momentum across audit, assurance, tax, legal, workforce, deals and consulting.

Behind every major disaster, every pandemic, every systemic shock, there is a financial system absorbing the impact. We use AI to strengthen that system. Join our Zurich-based team to design intelligent tools that help the world recover from uncertainty — faster and smarter.

About The Role
As an AI Engineer at Swiss Re, you'll be at the forefront of developing transformative AI solutions that reshape how we approach complex insurance and reinsurance challenges. You'll collaborate with a diverse, global team across multiple locations including Armonk NY, Zurich, Bangalore, Singapore, Beijing, and Hong Kong, working directly with business experts and external clients to create AI-powered services that drive real business value.

Key Responsibilities

• Design and develop sophisticated AI solutions including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and other generative AI applications
• Engineer and optimize prompts for various business use cases, ensuring reliability, accuracy, and performance of AI systems
• Build end-to-end AI pipelines from data ingestion to model deployment and monitoring in production environments
• Collaborate with data scientists, software engineers, and business stakeholders to translate business requirements into scalable AI solutions
• Implement MLOps best practices including model versioning, A/B testing, and continuous integration/deployment for AI systems
• Stay current with emerging technologies and assess their applicability to insurance and reinsurance business problems
• Build and foster relationships with business leaders and clients to understand their needs and become a trusted partner in AI innovation

About The Team
The Data Science & AI (DS & AI) department is part of the Group Data Services. The DS & AI department implements Swiss Re's Technology Strategy and supports its business functions in generating insights and creating data-driven products & solutions, working with both internal business partners and directly with external insurance and corporate clients.

About You
You're an innovative problem-solver who thrives in collaborative environments and is passionate about applying cutting-edge AI technologies to solve real-world business challenges. You combine technical expertise with strong communication skills, allowing you to translate complex technical concepts for diverse audiences and build strong relationships with stakeholders.

We Are Looking For Candidates Who Meet These Requirements

• Advanced degree in computer science, artificial intelligence, machine learning, engineering, or related quantitative field
• 3-5 years of hands-on experience developing and deploying AI/ML solutions in a corporate or production environment
• Strong expertise in modern AI techniques:

• Prompt engineering and optimization for LLMs
• Retrieval-Augmented Generation (RAG) architectures ,vector databases and embedding models
• Conceptual Knowhow of Fine-tuning and adaptation of foundation models
• AI agents and orchestration frameworks

• Proficiency in Python with strong software engineering practices (version control, testing, CI/CD, code reviews)
• Understanding of MLOps tools and practices (MLflow, Weights & Biases, etc.)
• SQL and data manipulation skills. PySpark is a plus.
• Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers) and cloud platforms (Azure, AWS, or GCP)

Nice to have

• Experience with Palantir ecosystem
• Specific experience in the insurance industry

Role
For Switzerland, the
base salary range
for this position is between CHF 106,000 and CHF 158,000 (for a full-time role). The specific salary offered considers:

• the requirements, scope, complexity and responsibilities of the role,
• the applicant's own profile including education/qualifications, expertise, specialisation, skills and experience.

In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits.

Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.

About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.

During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

Keywords
Reference Code:
139060