Junior Quantitative Risk Analyst

il y a 13 heures

Luxembourg RiverBank S.A. Temps plein

RiverBank’s mission is to be the digital bank that makes financing to SMEs and Real Estate professionals easy.

From our offices in Amsterdam, Paris and head-office in Luxemburg, we act as a niche lending specialist. Our core focus is to grant loans to Small and Medium Enterprises and Real Estate Investors in Europe using a fast, flexible and reliable IT platform.

RiverBank operates under a full and universal European Banking License delivering a one-stop shop approach in the entire EU.

As a young company, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong teamwork. RiverBank will offer an entrepreneurial environment within the regulatory banking framework - a place for people to learn, to achieve and grow. Our culture will promote diversity and individual perspectives in an international environment, represented by more than 10 nationalities.

You will be part of the technical enhancement of Bank’s solutions, assessing internal credit risk scoring models, pricing models and risk analytics in order to keep the Bank at the forefront of market and regulatory developments in a fast evolving competitive environment.
- **Primary Responsibilities**:_
- Partner with Data Team/Engineers to develop, implement and enhance new algorithms and solutions in the business value chain
- Support development and enhancement of quantitative tools and models for Risk department
- Assist in establishing model validation framework (e.g. predictive analytics, data analysis, back-testing, outcome analysis)
- Establish solid data governance framework and responsibilities for data ownership across involved departments
- Support strategic initiatives and projects as the Bank accelerates growth
- **Skills required**:_
- Recent graduate with a maximum of two years' working experience prior to or after graduation
- Highly quantitative background with an advanced degree in an analytical discipline (e.g. Mathematics, Computer Science, Physics, Statistics)
- Understanding of statistical methods and machine learning algorithms
- Model validation experience
- Solid programming skills e.g. Python, R and database technologies e.g. SQL
- Understanding of financial and banking instruments, where experience in digital lending would be advantageous
- Hands-on experience in developing applied Data Science modelling and solutions designed for real business needs and uses
- Advanced knowledge of Microsoft Excel
- Fluent in English

**Job Types**: Full-time, Permanent

**Experience**:

- relevant: 2 years (preferred)

**Language**:

- English (required)

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