Quant Risk Consultant

vor 1 Woche

Zurich, Schweiz Rec2Tech Ltd Vollzeit

**6-Month Contract**:

- (Possible extension) _

**Hourly Rate**:90 CHF - 136 CHF
_(DOE) _

**Location**:Zurich (Hybrid)

**Language(s) Required**:Fluent English or German

We are working with one of the Big 4 consultancy services known for their innovative approach to risk management and data-driven decision-making. We are seeking a highly skilled and experienced Quantitative Risk Consultants to join their dynamic team on an initial 6-month (Company Payroll) contract. If you are passionate about developing predictive models, assessing risk, and thriving in a challenging and fast-paced environment, we want to hear from you.

As a Quantitative Risk Consultant, you will play a critical role in their risk management team. You will use your expertise to develop and implement advanced predictive models and analytical tools that help their clients make informed decisions, mitigate risks, and optimize performance. Your primary responsibilities will include:
**Key Responsibilities**:
**1. Develop Predictive Models**:Utilize a range of statistical and machine learning methods, including logistic regression, probit regression, analytical hierarchy process, and artificial neural networks (Tensorflow), to build predictive models that support various aspects of their risk management activities.

**2. Modeling for Swiss corporations and Diverse Client Base**:Develop probability of default (PD), rating, and pricing models for Swiss corporations, High Net Worth Individuals, Hedge Funds, and Private Equity clients. Tailor models to meet the unique needs of these diverse client segments.

**3. Data Management**: Handle all aspects of data management, including data sourcing, data preprocessing, feature selection, model estimation, model calibration, and conducting statistical tests to ensure the accuracy and reliability of your models.

**5. Model Validation and Assessment**:Conduct thorough model validation, audit, and assessment for various risk-related models, including energy pricing models, credit risk PD, LGD, and EC models, VaR/RNIV market risk models, revenue forecasting models, and FX forecasting models.

**6. Utilize Advanced Tools**: Work with a range of industry-standard tools and technologies, including Python (Spyder, Jupyter Notebook), SQL (Oracle Toad), R, and Git to develop and maintain models and workflows.

**Qualifications**:
To excel in this role, you should possess the following qualifications:

- Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Finance, or related disciplines.
- Proven experience in developing predictive models using a variety of techniques and tools, as mentioned in the job description.
- Strong proficiency in Python and SQL for data analysis and modeling.
- Familiarity with R and Git for version control and collaboration.
- Excellent analytical and problem-solving skills with the ability to interpret complex data and provide actionable insights.
- Strong communication skills, both written and verbal, to convey complex findings to non-technical stakeholders.
- An innovative and adaptable mindset, always seeking opportunities to improve and optimize existing processes.

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