Job
- Level
- Lead
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Aachen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will lead a team in developing and optimizing quantitative models, manage model governance and technical implementation in cloud environments, while improving trading decisions in the energy sector.
Job Technologies
Your role in the team
- For our Modeling & Quantitative Analysis Department at the Aachen location, we are looking for you.
- As the head of the department, you are responsible for the development, validation, and operational deployment of quantitative models and data-driven products, leading your team both technically and disciplinarily.
- The goal is to achieve measurable optimization of energy industry processes in the areas of energy trading, direct marketing, pricing/PPA, as well as risk and portfolio modeling.
- The position is responsible for model governance, technical implementation (including cloud operations), and empowering the team through technical mentoring.
- Development and implementation of a Quant and AI roadmap (use case prioritization based on business value, risk, and feasibility); ownership of model lifecycle and governance.
- Further development of quantitative models for trading and portfolio decisions (e.g., price forecasts, spreads, volatility); optimization of trading decisions under uncertainty.
- Forecasts for generation and revenues (e.g., wind/PV) including quantification of uncertainty.
- Development and maintenance of pricing and valuation models for structured products and PPAs.
- Development and further enhancement of market risk models (e.g., VaR/CVaR/ES, stress tests, backtesting, limit framework).
- Technical responsibility for production-ready Quant services: data pipelines, model deployment, monitoring, and operations; cloud-native operation and scaling.
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Our expectations of you
Experience
- Completed Master's/PhD in Mathematics, Physics, Computer Science, Engineering, Statistics, Econometrics, or equivalent professional experience with demonstrable depth in quantitative methods and software development.
- At least 5 years of experience in a comparable leadership/lead role with responsibility for productive models and measurable results; strong competence in managing interests, expectations, and goal conflicts within stakeholder environments; deep understanding of the energy industry (trading, direct marketing, pricing/PPA, and risk management).
- Proven expertise in quantitative modeling (forecasting, optimization, pricing, and/or risk) including validation and backtesting; solid knowledge of Python, C++, and Rust for production use (development, extension, and optimization of production codebases); practical experience in cloud environments for developing and operating data- and model-driven systems (e.g., containers, orchestration, CI/CD, monitoring).
- Proven experience in leadership and technical mentoring; high level of self-responsibility; strong results orientation; excellent communication skills combined with an open and constructive attitude; pronounced analytical and strategic thinking abilities.
- Experience in/with MLOps/ModelOps, Solver/Optimization (Gurobi/CPLEX), Kafka/Realtime, ETRM systems.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Trianel GmbH
Trianel GmbH, based in Aachen, is a long-standing cooperation of over 100 municipal utilities specializing in energy trading and the development of renewable energies. The company offers comprehensive consulting services for the energy sector.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
Head of Modeling & Quantitative Analysis
- Location
- Aachen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
