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Senior quantitative analyst power & gas pricing

Genf
coni + partner ag
EUR 125’000 - EUR 150’000 pro Jahr
Inserat online seit: 9 Juni
Beschreibung

Coni + partner, established 1993, is a consultancy company with headquarters in Zurich and subsidiaries in Düsseldorf and Shanghai. We are specialised in custom-fit staffing in tune with the corporate culture by ensuring a perfect match of professional skills, references and personal as well as social skills of successful candidates.

Our client is the asset management division of an international bank in Zurich. We are searching for a tax specialist (m, f, d) for the fund business as

Senior Quantitative Analyst Power & Gas Pricing

Aufgaben

Further developing of energy valuation models for models involving physical assets and structured energy

Analysing the value of physical assets with techno-economic parameters (power plants, lifespans, costs) and structured energy products such as tracker certificates, barrier reverse convertibles (BRCs), knock-out warrants, (swing) contracts (e.g. price volatility, volume constraints)

Apply key valuation methods, such as static time value curves, stochastic models, Least Squares Monte Carlo simulations, Monte Carlo simulations, stochastic dynamic programming (SDP) or the discounted cash flow (DCF) method

Development of stochastic models for power and gas price as well as for market and price trends

Calibrating models using market and fundamental data to bridge the gap between theoretical mathematics and real-world forecasts and pricing, as well as backtesting of models using historical market and operational data

Supporting for trading and risk management through ad hoc calculations and collaborate with different stakeholders

Qualifikation

Ph.D. in Mathematics or Engineering

Relevant professional experience in the power or gas market

An understanding of the behaviour of physical assets and knowledge of financial derivatives and structured products

Knowledge of financial mathematics and expertise in optimization, deterministic and stochastic modeling, and Monte Carlo simulation methods

Knowledge of structured products and financial derivatives in the energy market

Programming skills in Java, Scala, C++, Python, SQL, VBA, etc.

Analytical mindset with attention to detail

Team-oriented and good communication skills

German and English

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