Senior Data Scientist - Credit Risk & Fraud DetectionAbout the Company

If you want to know about the requirements for this role, read on for all the relevant information.Join an innovative payment technology company reshaping the way customers spend on a daily basis and manage their finances. This fast-growing fintech firm has gained millions of customers since its launch, earning recognition for its rapid expansion and groundbreaking solutions. With ambitious growth plans and exciting projects ahead, the company is looking for top talent to help achieve its mission.The RoleWe are looking for a talented and experienced

Senior Data Scientist

to focus on developing and optimizing models for credit risk and fraud detection. The successful candidate will work with diverse data sources and collaborate with multidisciplinary teams to ensure data-driven decision-making. This is a unique opportunity to make a significant impact in a fast-paced and innovative environment.ResponsibilitiesDevelop and maintain credit risk and fraud detection models to support business decisions.Collaborate with risk management and fraud prevention teams to align models with strategic goals and regulatory requirements.Analyze credit bureau and fraud-related data to uncover actionable insights.Present complex findings to senior stakeholders in a clear and accessible manner.Apply machine learning techniques to enhance decision-making in risk and fraud management.Ensure coding best practices for model development and deployment.Utilize Python and core machine learning libraries for model building, validation, and deployment.Conduct A/B testing and analyze experiments to improve product features.Enhance workflows and methodologies in credit risk and fraud detection processes.What We're Looking For3+ years of experience as a Data Scientist, with expertise in credit risk and fraud detection models.Strong knowledge of credit bureau data and its applications.Proficiency in Python, SQL, and data science/machine learning libraries (e.g., Numpy, Pandas, Scikit-Learn).Proven ability to communicate complex ideas effectively to non-technical audiences and stakeholders.Experience with version control systems (e.g., Git) and working in collaborative environments.A results-oriented mindset, with a focus on iterating and improving models in production.Awareness of AI safety considerations, including bias detection and privacy management.Bonus SkillsExperience with Amazon SageMaker for model development.Familiarity with CI/CD pipelines and software development best practices.Knowledge of monitoring tools for machine learning models.Understanding of cloud-based model training and deployment solutions.Experience with DBT for data modeling and Looker for business intelligence reporting.A keen interest in staying updated with the latest technologies and trends.Why Join?Be part of a company revolutionizing payment technology and shaping the future of how people pay and save. Work in a dynamic and collaborative environment with opportunities to grow and make a significant impact. With big growth plans ahead it's a great opening with huge potential to evolve in line with your career aspirations.

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