Credit Risk AI/ML Model Lead
1 month ago
Riverty is a leading company in the financial industry, specializing in Buy-Now-Pay-Later services.
We offer an estimated annual salary of $140,000 for this position, commensurate with experience and qualifications.
About UsWe are dedicated to providing innovative risk management solutions through cutting-edge Artificial Intelligence and Machine Learning technology.
Job DescriptionData Science Lead – Credit Risk (m/f/d)
This role involves guiding an international team of data scientists and risk experts in creating AI/ML models that prevent fraud and solvency risks.
You will be responsible for the AI/ML data product in our risk decisioning product, from Product Ownership to implementation and operation of the AI/ML models.
This is a crucial position in advancing our data and AI strategy and developing our team to meet their professional growth goals.
Closely collaborating with various business and functional units, you will translate business needs into data and AI products, enabling Riverty's next-level risk management.
Key Responsibilities:- Lead a team of data scientists and machine learning engineers in developing innovative data products and ML models, particularly in the credit risk domain.
- Act as the product owner for the cross-functional team, driving significant advancements in AI and machine learning models for credit risk management.
- Provide methodological leadership in data science and machine learning, as well as domain leadership in credit risk modeling through AI.
- Closely collaborate with other risk teams, such as risk product and risk steering, as well as with product, commercial, and engineering teams to identify and leverage AI opportunities.
- Manage team priorities, resources, and deadlines to ensure alignment with business goals.
- Recruit, train, mentor, and develop team members, fostering a culture of continuous learning and improvement.
- Stay abreast of emerging data science trends and technologies, serving as a data ambassador within the company.
- Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
- Extensive experience in data science and machine learning technologies.
- Proven experience in a credit risk management environment.
- Proficiency in handling large datasets within a distributed computing environment.
- Strong leadership skills with a track record of managing teams of machine learning and risk professionals.
- Excellent communication skills, with the ability to work effectively with cross-functional teams.
- Knowledge of Microsoft Azure is a plus.
- Fluent in English; proficiency in German, Norwegian, or Dutch is advantageous.
- Experience in the financial industry, particularly in Buy-Now-Pay-Later and risk & fraud management.
Location: Verl, Berlin, Oslo, Baden-Baden, or Amsterdam, with flexible working conditions available.
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