Job Description
Data Science Leadership Role
We are seeking an experienced Data Science leader to oversee a team of Data Scientists in managing fraud and loss metrics for assigned product lines or markets.
The ideal candidate will have a strong background in data analysis, machine learning, and leadership, with experience working with large-scale complex datasets.
The role involves guiding the team in data preparation, feature engineering, model training, and validation using Python/R and cloud-native platforms.
The successful candidate will also be responsible for hosting regular syncs with business units, risk operations, and compliance to ensure models and business rules remain aligned with evolving policy and regulatory requirements.
The role requires strong analytical and problem-solving skills, with the ability to distill complex findings into clear narratives for both technical and non-technical audiences.
Requirements
* 8+ years of relevant experience working with large-scale, complex datasets, including at least 3 years managing a team of 3-6 Data Scientists in a fraud-risk or financial-services environment.
* Proven ability to decompose ambiguous business requirements into a structured analytic plan and deliver data-driven recommendations.
* Advanced proficiency in SQL and Python (or R) for data wrangling, EDA, and model development.
* Expertise in exploratory data analysis and preparing clean, structured datasets for modelling.
* Familiarity with production ML frameworks (scikit-learn, TensorFlow, PyTorch) and cloud data platforms (BigQuery, Snowflake).
* Deep understanding of fraud-risk principles, including AML/KYC, regulatory compliance, and performance metrics (Precision, Recall, ROC-AUC).
* Strong track record of partnering with engineers, product managers, and business leaders.
* Excellent verbal and written communication skills.
* A passion for inventing new approaches to big, ambiguous problems-always looking to build novel solutions that stay ahead of evolving threat vectors.
Benefits
This is an exciting opportunity to join a dynamic team and contribute to the success of our organization.
The successful candidate will have the opportunity to work on challenging projects, develop their skills, and advance their career in a supportive and collaborative environment.
We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.
Others
This is a full-time position, and the successful candidate will be required to work from our office location.
Please note that only shortlisted candidates will be contacted for further assessment.