Senior Data Scientist
1 month ago
We are seeking a highly skilled Senior Data Scientist to join our Credit Risk Models team. As a key member of our team, you will be responsible for developing and deploying credit risk models to assess the creditworthiness of retail and commercial clients.
Key Responsibilities- Develop and lead the development of regulatory PD, LGD, and EAD models
- Translate and advocate for the developed models to internal partners and regulatory authorities
- Collaborate with IT and business partners to ensure understanding and implementation of developed models
- Provide modeling expertise to colleagues, internal or external partners, and various committees
- Identify and address model-related issues and challenges, develop solutions, and ensure stakeholder buy-in
- Contribute to advancing internal modeling practices in line with regulatory requirements and industry advancements
You will be part of a diverse team of credit risk and quantitative experts, working in a flexible and hybrid environment. Our team is committed to advancing internal modeling practices and staying up-to-date with industry advancements.
Requirements- Master's degree in mathematics, statistics, financial engineering, econometrics, or a related discipline with a minimum of three years of relevant experience
- Experience in developing statistical models
- Strong knowledge of credit risk management and Basel Accord
- Solid programming skills, preferably in SAS or SQL
- Good understanding of IFRS9 Standard and its application
In addition to competitive compensation, you will be eligible for a wide range of flexible benefits to promote your wellbeing and that of your family. These include health and wellness programs, flexible group insurance, a generous pension plan, and more.
We are committed to creating a positive employee experience and fostering a culture of inclusivity and empowerment. Our dynamic work environments and cutting-edge collaboration tools enable us to stay ahead of the curve and deliver exceptional results.
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