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Quantitative Risk Analyst
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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 Luxembourg 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 offers an entrepreneurial environment within the regulatory banking framework - a place for people to learn, to achieve and grow. Our culture promotes diversity and individual perspectives in an international environment, represented by more than 10 nationalities.
**RiverBank is recruiting an ambitious Quantitative Risk Analyst.**
You will assess internal models used for credit risk scoring, pricing and risk analytics to order to keep the Bank at the forefront of market and regulatory developments in quantitative risk modelling and credit risk assessment.
You will couple technical expertise with strong business judgment to make the right decisions about model development and build a team to solve challenging business problems using advanced statistical methods including AI, ML and quantitative analytics.
- **Core Responsibilities**:_
- Contribute in the design of new algorithms for credit scoring and risk pricing across various business domains
- Challenge and enhance the existing ML algorithms for credit scoring and pricing
- Ensure models are fit for purpose through development of model performance monitoring (via accuracy metrics, business KPIs, etc.) and recalibrate or redevelop these models when necessary
- Establish model validation framework (e.g. predictive analytics, data analysis, back-testing, outcome analysis)
- Partner with Data Scientists/Engineers to implement new ideas and algorithms in the business value chain
- Establish solid data governance framework and responsibilities for data ownership across involved departments
- Support development of analytical tools for the Risk department
- Support integration of new models and products into the Bank’s infrastructure and on-going enhancements
- **Skills and Competencies**:_
- At least 4 years of relevant experience in a similar role preferably in the Fintech industry
- Highly quantitative background with an advanced degree in an analytical discipline (e.g. Mathematics, Computer Science, Physics, Statistics) and a deep understanding of statistical methods and machine learning algorithms
- Hands-on experience in developing applied Data Science modelling and solution design for real business needs and uses
- Model validation experience
- Solid programming skills e.g. Python, R and proficiency in database technologies e.g. SQL
- Knowledge of financial and banking instruments, where experience in digital lending would be advantageous
**Job Types**: Full-time, Permanent
**Experience**:
- relevant: 4 years (required)
**Language**:
- English (required)
