Join a rapidly growing and thriving FinTech business and seize an exceptional opportunity to make a significant impact on the organisation. They are expanding their data function and seeking an enthusiastic individual who thrives on new and exciting data challenges. In this role, you will be at the forefront of developing innovative models, leveraging your expertise to tackle complex data problems. Embrace the chance to contribute to various aspects of our business, enabling you to exert influence across multiple areas of the company.
As a member of a small but dynamic team, your ideas and contributions will be highly valued and recognized, fostering both professional growth and a sense of ownership. The hiring team are seeking individuals who possess the following qualities:
SQL Mastery: Proficiency in extracting data using SQL to drive insights and analysis.
Python Expertise: Experience building statistical models within Python, demonstrating a solid foundation in coding and programming skills.
Credit Risk Modeling: Proven experience in developing credit risk models, with a focus on building probability of default models. Commercial experience in financial services, specifically in developing financial models, is highly desirable.
Autonomy and Innovation: Ability to work autonomously, taking ownership of projects and driving innovation within the team.
Data Orchestration and Visualisation: Familiarity with data orchestration using AWS Glue or Airflow, data registry using Glue Catalogue, and visualization using tools like Quicksight or Apache Superset would be beneficial (but not essential).
MLOps: Exposure to MLOps concepts such as model monitoring, model drift, data drift, and familiarity with tools like Kubeflow would be ideal.
If you possess relevant experience and are ready to take the next step in your career as a Senior Data Scientist, we invite you to apply now and be part of an exciting journey.