The successful candidate will be responsible for developing, maintaining, and innovating algorithms that drive business impact The role sits within commercial Decision Science team and requires strong analytical capabilities, learning agility, and a passion for exploring new ideas, techniques, and research to continuously improve existing solutions and build new ones
Responsibilities :
Develop, enhance, maintain ML algorithms and modeling solutions to support several data science and modelling use cases across credit, fraud, and risk
Research, Innovate and propose next-generation ML algorithms and algorithmic approaches by exploring emerging techniques, research papers, and industry best practices
Maintain a disciplined review process to identify opportunities for new algorithms, features, and process improvements
Partner closely with cross-functional teams to ensure effective adoption, usage, and enablement of algorithms
Monitor algorithm performance and ensure robustness, stability, and compliance with governance standards
Support documentation, validation, and audit requirements for algorithms across their lifecycle
Qualification:
Bachelors or masters degree in computer science, statistics, data science, artificial intelligence, applied mathematics, or a related field
Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL) and cloud computing environment
Hands-on experience in machine learning algorithm development or application
Prior professional experience or internships in data science are preferred
Ability to drive project deliverables to achieve business results
Ability to work effectively in a team environment
Strong communication and interpersonal skills
Ability to learn quickly and work independently on sophisticated, unstructured initiatives, with strong attention to detail
Ability to collaborate with cross-functional business partners worldwide
Job Classification
Industry: Financial ServicesFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full time