The client is seeking a Director of Decision Science to lead their data-driven efforts in the financial technology sector as they continue expanding globally. This pivotal role involves spearheading the development of underwriting and acquisition models, while setting modeling standards, quality controls, and documentation practices. The director will also oversee the deployment of these models using MLOps and work collaboratively with engineering, product, commercial, and data teams to drive business impact.
The ideal candidate will have strong hands-on experience in building models using Python and a background in credit risk, rating agency modeling, or customer behavior modeling. The candidate should possess excellent communication skills for interacting with senior stakeholders, alongside demonstrated leadership experience within technical teams. Familiarity with XGBoost or other boosting techniques is required, and knowledge of MLOps or R is considered beneficial but not mandatory.
This opportunity is highly suited to those interested in a leadership role within a thriving and expansive organization. The position may involve interaction with various departments within the company to ensure seamless integration and deployment of decision science initiatives. Candidates are encouraged to submit their applications if they are interested in taking on this impactful role.