Senior Risk Analyst

JCW Search Ltd; Köln; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An established industry player is seeking an experienced Risk Analyst to join their innovative team. This role involves developing cutting-edge valuation and risk management models to enhance financial decision-making in the energy sector. The ideal candidate will leverage their extensive experience in quantitative modeling and programming to drive technological advancements, including machine learning and cloud computing. Join a forward-thinking company committed to sustainability and innovation, where your expertise will play a pivotal role in shaping the future of energy supply.

Qualifikationen

• 8+ years of experience in quantitative financial modeling, ideally in energy markets.
• Proficient in implementing complex models using programming languages.

Aufgaben

• Develop and implement valuation and risk management models as software solutions.
• Ensure effective use of models to support financial risk management.

Kenntnisse

Quantitative Financial Modeling

Machine Learning

Cloud Computing

Statistical Methods

Cross-Functional Collaboration

Ausbildung

Degree in Mathematics

PhD in Related Field

Tools

C++

C#

Java

Scala

Python

Jobbeschreibung

On behalf of our client, a leading energy company, we are seeking an experienced Risk Analyst for the location Düsseldorf. This role entails developing and implementing sophisticated valuation, risk management, and optimization models as software solutions, with the opportunity to drive sustainable and innovative future energy supply.

Tasks:

1. Development and implementation of state-of-the-art valuation, risk management, and optimization models as software solutions.
2. Ensuring the effective use of these models and analyses to support and improve financial risk management (market, credit, liquidity, and weather risks).
3. Understanding business processes and effective cross-functional collaboration to deliver solutions.
4. Advancing and utilizing technological solutions such as machine learning and cloud computing.
5. Supporting the digital roadmap through machine learning and cloud computing.

Profile:

1. Degree in mathematics, physics, or a related field with solid knowledge in mathematical and statistical methods; a PhD is a plus.
2. 8+ years of experience in developing quantitative financial models in a commercial environment; ideally with experience in energy markets and with interest rate and FX models.
3. Familiarity with numerical, optimization algorithms, stochastic calculations, as well as deep knowledge in the energy sector, particularly in pricing OTC products.
4. Proficient in implementing complex quantitative models using languages like C++, C#, Java, or Scala; experienced with Python and ideally with cloud-based continuous development.
5. Knowledge of machine learning and integration, along with coding skills, is crucial.
6. Excel in cross-functional collaboration, particularly in communicating with traders and effectively conveying complex quantitative and technical concepts.

We aim to be an equal opportunity employer and are committed to ensuring that no applicant receives less favorable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements.