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Baringa

Global consulting delivering strategy and technology

Senior Quantitative Modeller/Developer - Stochastic Simulations in Power Markets

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeSofia, BulgariaIn-person

About the Job

Requirements

  • Significant experience developing and applying stochastic simulation models within power, gas, commodity, or financial markets.
  • Strong understanding of one-factor, two-factor, and multi-factor stochastic processes and their practical application.
  • Experience designing, calibrating, validating, and maintaining quantitative models used in commercial environments.
  • Knowledge of European power markets, trading, and market fundamentals.
  • Understanding of spot, futures, over-the-counter, and derivative markets and their application to valuation and risk analysis.
  • Experience integrating market data and statistical techniques into practical forecasting, valuation, or simulation frameworks.
  • Strong programming skills in Python, including development of maintainable production-quality code.
  • Familiarity with software engineering best practices, including testing, version control, code review, and collaborative development.
  • Ability to explain complex modelling concepts to technical and non-technical audiences.
  • Strong stakeholder management skills and experience working across modelling, advisory, engineering, and client-facing teams.
  • MSc or PhD in Quantitative Finance, Physics, Mathematics, Statistics, Econometrics, Engineering, Computer Science, or a closely related quantitative discipline.

Responsibilities

  • Lead the design, development, calibration, and validation of stochastic simulation models across power, gas, liquefied natural gas, and other commodity markets.
  • Develop advanced modelling methodologies, including mean-reverting jump diffusion, two-factor, and multi-factor stochastic models.
  • Improve the representation of commodity price behaviour, volatility, market regimes, and structural market change within the modelling framework.
  • Combine liquid-horizon market data with long-term fundamental market outlooks to create stochastic simulations consistent with scenario-based simulations.
  • Research and implement new quantitative approaches for modelling uncertainty, asset valuation, risk assessment, and market behaviour.
  • Work with market modelling specialists, advisory teams, and clients to ensure models remain relevant, credible, and aligned with commercial decision-making.
  • Partner with software engineers to ensure modelling methodologies are implemented as robust, maintainable, and scalable production software.
  • Drive model calibration, validation, benchmarking, and ongoing performance monitoring.
  • Communicate complex quantitative concepts to technical, commercial, and executive audiences.
  • Contribute to thought leadership in quantitative energy market modelling and stochastic simulation.

Desired Qualifications

  • Experience modelling multiple commodities, including power, renewables, gas, liquefied natural gas, or carbon.
  • Experience with option pricing, risk analytics, portfolio valuation, or trading analytics.
  • Experience developing economic scenario generators, stochastic forecasting frameworks, or Monte Carlo-based simulation platforms, particularly from energy trading analytics and scenario generation backgrounds.
  • Experience applying machine learning or statistical learning techniques alongside traditional stochastic modelling approaches.
  • Experience taking quantitative research from prototype through to production implementation.
  • Exposure to asset valuation, structured transactions, risk management, or energy trading.
  • Experience mentoring or leading other quantitative analysts and modellers.

About the Company

Baringa

Global consulting delivering strategy and technology

Baringa is a global consultancy that partners with leaders to drive change and create value by combining deep industry knowledge with advanced technology. It helps clients execute strategy, transformation, and operational improvements using data, AI, and digital innovation, with teams that work collaboratively to deliver hands-on results. It differentiates itself through its global reach paired with local understanding, a client-focused culture, and strong recognition as a great place to work. Its goal is to help organizations transform their industries and operate with higher performance and certainty through trusted advice and measurable outcomes.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2000

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